Blue Orange Digital company's all remote jobs
This is a full-time fully remote position for Latin American-based applicants within +/- 2 hours of Eastern Standard Timezones (NYC).
Applicants must have strong written and oral communication in English.
—
Blue Orange is looking for an experienced Solutions Architect with significant experience in enterprise Data Lake & Data Warehouse initiatives. We build modern data analytics platforms for our clients that incorporate advanced analytics and machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains. This person will work directly with our client's leadership to help define the architecture of the future enterprise data platform. They will work closely with stakeholders and team members to determine the needs of the platform and design solutions that can allow the company to use data more efficiently and build trust in it. The ideal candidate will have senior-level experience with data architecture and data engineering.
Responsibilities
- Analyze Client needs and requirements in order to design robust solutions
- Define processes and standards for how data will be integrated, stored, managed, and consumed within the organization.
- Work with stakeholders across the client teams to build and support the data infrastructure
- Communicate solutions effectively with clients and team members
- Monitor progress and adjust architecture/decisions as needed
- Build and support analytical tools providing actionable insights into customer acquisition, operational efficiency, and other KPI’s
- Establish best practices and bake them into solution designs
- Consider security, performance, data quality
- Create POCs to kickstart the development for the team
Qualifications
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience
- 6+ years of enterprise IT experience across data engineering, software engineering, DevOps, or architecture roles
- Hands-on experience designing, architecting, and implementing large scale, data-driven applications, and data flows
- Excellent verbal and written English communication
- 5+ years experience of Cloud computing experience
- Hands-on experience with Azure data products
Preferred Qualifications
- Demonstrated leadership in the fields of big data, data warehousing or data science
- Hands-on experience with Snowflake
Job Benefits:
- Competitive Salaries
- Health/Vision/Dental
- 401k
- Awesome people
Time zone: (GMT-05:00) Eastern Time +/- 2 hours
Senior Data Analyst: This is a full-time fully remote position for Latin-American-based applicants within +/- 2 hours of Eastern Standard Timezones (NYC).
Applicants must have very strong written and oral communication in English.
—
Data Analyst:
Blue Orange is looking for a Senior Data Analyst to join our talented multi-disciplinary team. The ideal candidate will have a passion for data analytics and quality. The ideal candidate will be well versed in SQL and modern data technologies, understand how to drive the extraction of business requirements for data visualizations & reporting, assess data quality, and have great communications skills. This candidate will work on analyzing and extracting information from source data, help interpret and visualize data, and define data quality needs and help make sure they are met.
Responsibilities:
- Work with the team and stakeholders to define requirements for the Data Warehouse and BI reports.
- Work with source data systems to extract and analyze data to assist in defining the requirements for the data platform.
- Develop and maintain dashboards and reports, and model data based on client requirements.
- Work with the data team to implement the data quality standards and ensure ongoing quality assurance of that data process.
- Support analytical and statistical reporting requirements and work with the data team to visualize the data in dashboards and reports.
- Work within an Agile environment to constantly deliver value for our clients.
Basic Qualifications
- 4+ years of experience with data analysis, including data cleansing, and data visualization
- Expert-level skills with SQL and statistical methods to analyze and model behavioral data
- Experience with Python
- Experience with using data visualization tools, like PowerBI, Tableau, Looker, SiSense
- Experience with dimensional modeling
- BA or BS degree in a quantitative field (e.g.: statistics, economics, computer science)
- Excellent verbal and written English communication.
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment
Preferred Qualifications
- Hands on experience with the following tools: DBT, Looker, Snowflake, Airflow
- Experience with Azure and their data tools, including Azure Data Factory, Databricks, Azure Synapse.
- Experience with AWS and their data tools, including Redshift, Glue, Athena.
- Experience in the Finance or Real estate industries.
Job Benefits:
- Competitive Salaries
- Health/Vision/Dental
- 401k
- Awesome people
Time zone: (GMT-05:00) Eastern Time +/- 4 hours
Blue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team.
We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.
Your primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development. Major technologies involved include AWS (Lambda, Glue, CloudFormation, EMR), Python 3, Spark, Pandas. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering.
Core Responsibilities & Skills
- Architecting, building, and maintaining modern, scalable data architectures on AWS
- Building resilient production ETL pipelines using workflow orchestration tools such as Airflow, Prefect, AWS Step Functions
- Deploying and managing infrastructure with automation to support data pipelines.
- Deploying and scaling machine learning models in production.
- Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks and modern BI tools.
Qualifications
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- Advanced experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.
- Experience in Amazon AWS, DevOps, and Automation (CloudFormation)
- AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.
- Enjoys collaborating with other engineers on architecture and sharing designs with the team
- Excellent verbal and written English communication.
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment
Job Benefits:
- Competitive Salaries
- Health/Vision/Dental
- 401k
- Awesome people
Time zone: (GMT-05:00) Eastern Time +/- 2 hours
Short-term/ long-term contacts available. Part/full-time flexible schedules available!
Preferred:
An Azure DevOps Engineer with Azure Data Factory (ADF) and Azure DevOps background:
- Create and manage Azure data factory pipelines that extract data from Web and others sources using API’s (URL) and push the processed data in SQL Server Database.
- Create and manage Azure DevOps CI/CI Pipelines using Azure DevOps tools like Git and the ability to clone repositories, create pull requests, create builds, and push releases after approval.
- Strong understanding of data flow and data pipelines in Azure Cloud.
- Strong understanding of Azure serverless technologies like ADF, ADLS, Azure Power App, etc
- Ability to create and refresh reports in Tableau or Power BI
- Strong SQL skills to create tables and schemas
- Strong cloud engineering skills to managed Azure Subscriptions and resource groups
Skills and Abilities:
- Strong background in SQL database administration.
- Strong background in managing software deployments within Azure.
- Strong background in performance tuning of complex systems within Azure.
- Familiar with Azure Firewalls, Network Security Groups, VNets, and route tables.
Company Introduction
"Top 10 AI Development and Consulting Agencies in NYC" - Clutch
As seen in: IBM thinkLeaders, Dell Innovators, YahooFinance, Global Banking & Finance Review Magazine, IoT Council of Europe, AiBusiness, Data-Driven Investor, DataFloq, Supply Chain Matters, Machine Learning Times.
Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm. We use AWS, Azure, GCP, and Snowflake, to help companies make sense of their data. From Fortune 500’s and startups, we apply modern data analytic techniques to solve for desired business outcomes. Founded by engineers, we love passionate technologists and data analysts. We have startup DNA meaning everyone on our team makes a direct contribution to the growth of the company. We are headquartered in NYC and Alexandria, VA with distributed team members all across the US and Latin America.
*Women are encouraged to apply*
Job Benefits:
- Competitive Salaries
- Health/Vision/Dental
- 401k
- Awesome people
This is a remote position but within +/- 2 hours of Eastern Standard Timezones.
Applicants must have strong written and oral communication in English.
—
Founded by freelance engineers, Blue Orange Digital wanted to bring an engineering-first approach to the development agency model. We work on projects that use the latest and greatest technologies. We care about the products we build and only work with clients who understand that good applications come from happy engineers and team members. We’re headquartered in NYC and DC with additional remote engineers across the US and Latin America.
Blue Orange Digital is looking for a Senior Data Engineer to join our talented multi-disciplinary team. We build modern data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.
Your primary focus will be the design and development of data ingestions and ETL pipelines with Matillion for an Enterprise Data Warehouse. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering. At Blue Orange we never stop learning and growing, new team members should be passionate about data technology and life-long learners.
Core Responsibilities & Skills
- Design, develop, test and maintain maintainable, scalable ETL pipelines in AWS with Matillion & Redshift.
- Work closely with business and technical stakeholders to refine pipeline requirements
- Help establish and follow best practices for the design and development of data integration, data transformation and data quality tasks.
- Perform root cause analysis and resolution for data issues.
- Work closely in a team setting to deliver a high level of quality and value to the client.
Qualifications
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- Minimum of 2 years experience using Matillion in production.
- Minimum of 5 years experience building ETL pipelines and working with different Cloud Data Warehouses (Redshift, Snowflake, Azure SQL Data Warehouse)
- Advanced experience in Python and SQL with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.
- Experience using Infrastructure as Code tools (Terraform, CloudFormation)
- AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.
- Enjoys collaborating with other engineers on architecture and sharing designs with the team
- Excellent verbal and written English communication.
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment
Job Benefits:
- Competitive Salaries
- Health/Vision/Dental
- 401k
- Awesome people
Time zone: (GMT-05:00) Eastern Time +/- 2 hours
Solutions Architect - Machine Learning
This is a full-time fully remote position for Latin American-based applicants within +/- 2 hours of Eastern Standard Timezones(NYC).
Blue Orange Digital is looking for a Solutions Architect - Machine Learning to join our talented multi-disciplinary team.
Solutions Architect
Blue Orange is looking for an experienced Solutions Architect with significant experience in enterprise Machine Learning and Data Science initiatives. We build modern data analytics platforms for our clients that incorporate advanced analytics and machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains. This person will work directly with our client's leadership to help define the architecture of the future enterprise data platform. They will work closely with stakeholders and team members to determine the needs of the platform and design solutions that can allow the company to use data more efficiently and build trust in it.
Responsibilities
- Provide Machine Learning thought leadership and vision internally and to clients. Build a sense of community and encourage a culture of collaboration and curiosity
- Implement models and algorithms on multiple cloud providers
- Write in Python or other languages to deliver a wide variety of Machine Learning & Data Science solutions
- Recommend and implement architectures to deploy machine learning pipelines and CI/CD processes at scale
- Stay abreast of new tools, packages, and Machine Learning techniques while consistently pushing the limit of what is possible to deliver the best solutions for clients
- Collaborate with Product Owners to apply Blue Orange agile processes and be responsible for the initiation, delivery, and transition of projects for your team in a client-facing role
- Support pre-sales conversations with the client’s most technical Machine Learning staff
- Ensure the delivery of successful outcomes for staffed teams
- Staff, lead and mentor data scientists, machine learning practitioners, and engineers
Qualifications
- 7+ years of technology industry experience
- 7+ years of experience implementing models or machine learning algorithms in production
- Proficient experience writing SQL
- Experience leading a data science or other technical team
- Experience on any of these cloud platforms (AWS (Preferred), Azure, GCP)
- Experience developing models and other data science work with Python (preferred) or R
- (Preferred) Familiarity with ML Ops pipelines or CI/CD implementations
Preferred Qualifications
- AWS ML Speciality certification, Solutions Architect, Big Data a strong advantage.
- Demonstrated leadership in the fields of big data, data warehousing or data science.
- Experience with streaming data systems and IOT applications.
- Hands-on experience designing enterprise data models.
Benefits
- Flexible Paid Time Off
- Paid parental/bereavement leave
- Remote with flexible hours
- Full-time employment
- Certification support/ professional development/ career growth
- Worldwide recognized clients to build an excellent resume and skills
Job Benefits:
- Competitive Salaries
- Health/Vision/Dental
- 401k
- Awesome people
This role is contract to hire.
Blue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.
Your primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.
Core Responsibilities & Skills
- Architecting, building and maintaining modern, scalable data architectures on AWS
- Solving problems using Machine Learning and delivering ML solutions all the way to production
- Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi
- Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.
- Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization
Qualifications
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms
- Experience in Amazon AWS, DevOps and Automation
- Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow
- Enjoys collaborating with other engineers on architecture and sharing designs with the team
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment
Time zone: (GMT-05:00) Eastern Time +/- 2 hours
DevOps Engineer
This is a full-time fully remote position for Latin American-based applicants within +/- 2 hours of Eastern Standard Timezones(NYC).
Resume must demonstrate professional English ability.
-
Blue Orange is seeking a DevOps Engineer to join our team to help build up our internal DevOps practice. We are looking for someone who will help develop and instill the DevOps mindset across the entire team at Blue Orange. This person should have a relentless drive to automate everything. The ideal candidate would have extensive SysAdmin experience as well as experience working in DevOps within an enterprise environment. The ideal candidate will have experience across multiple clouds and deployment scenarios but must include experience in Azure and AWS. Blue Orange builds enterprise data platforms and systems for our clients, so this candidate should have experience with supporting modern data technologies.
Core Responsibilities & Skills
- Provide leadership in applying DevOps principles of Continuous Integration, Continuous Delivery/Deployment pipeline development, writing, and managing Infrastructure as Code, Automated Testing across multiple software applications.
- Work with data teams to help automate the deployment and operations of data platforms deployed in Azure and AWS
- Work with Azure DevOps, Terraform, CloudFormation, and other Automation and infrastructure tools to build robust systems.
- Support heterogeneous technologies environments including both Windows and Linux systems.
- Develop reusable, automated processes, and custom tools.
Qualifications
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- Experience supporting data platforms; exposure to data technologies like Azure Data Factory, Azure Synapse Analytics, AWS Glue, Airflow, Spark.
- Advanced level Python and Bash scripting.
- Experience designing and building robust CICD pipelines.
- Strong Linux system administration skills
- Comfortable with Docker, configuration management, and monitoring tools.
- Knowledge of best practices related to security, performance, and disaster recovery.
- Experience working in cloud environments, at a minimum experience in Azure and AWS
- Enjoys collaborating with other engineers on architecture and sharing designs with the team.
- Excellent verbal and written English communication.
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment.
Bonus Points
- Hold an AWS or Azure DevOps certification.
*If you are seeing this on a scraped job board, please apply on our site: https://blueorange.digital/careers Quick APPLY (2min) with our Linkedin profile, Indeed profile, or simply attach an English resume or PDF of your Linkedin profile. Done.
*Women are encouraged to apply
Time zone: (GMT-05:00) Eastern Time
This position is a contract to hire, fully remote full-time position for candidates in Latin America.
*Resume must demonstrate English ability
Must be within +/- 2 hours of Eastern Standard Timezone (NYC)
Blue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.
Your primary focus will be architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment for Recommendation Systems. Major technologies involved include AWS, Azure, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.
Core Responsibilities & Skills
- At least 6 years of experience in an ML senior engineer or technical lead role.
- Experience with SageMaker required and experience with other AWS tools preferred (S3, Lambda, Redshift)
- Experience developing and designing scalable distributed systems with a deep understanding of object-oriented design, modern program languages, and design patterns.
- Excellent communication skills and ability to work effectively with engineers, product managers, data scientists, analysts, and business stakeholders.
- Experience developing and designing recommendation systems and production quality ML models for real-time decisions is a plus.
- Algorithm and model development experience for large-scale applications
- Experience distilling informal customer requirements into problem definitions, dealing with ambiguity, and competing objectives.
- Architecting, building, and maintaining modern, scalable data architectures on AWS
- Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi
- Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.
- Demonstrable experience in one or more of the following specializations: Recommenders, NLP, pattern detection, anomaly detection, predictive modeling, and optimization.
Qualifications
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms
- Experience in Amazon AWS/Azure, DevOps, and Automation (Cloudformation)
- Experience with distributed machine learning using tools like Dask, Tensorflow, Kubernetes, Airflow, Kubeflow.
- Enjoys collaborating with other engineers on architecture and sharing designs with the team
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment
About Blue Orange Digital
Founded by freelance engineers, Blue Orange Digital wanted to bring an engineering-first approach to the development agency model. We are an AWS partner and work on projects that use the latest and greatest technologies. We care about the products we build and only work with clients who understand that good applications come from happy engineers and team members. We’re headquartered in NYC and DC with additional remote engineers across the US.
Time zone: (GMT-05:00) Eastern Time +/- 2 hours
Blue Orange Digital is looking for a Data Engineer to join our talented multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.
Your primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development. Major technologies involved include AWS (Lambda, Glue, CloudFormation, EMR), Python 3, Spark, Pandas. Blue Orange engineers take end-to-end ownership of their code and platforms, so the ideal candidate for this position has a mixture of experience in Cloud Engineering and Data Engineering.
Core Responsibilities & Skills
- Architecting, building and maintaining modern, scalable data architectures on AWS
- Building resilient production ETL pipelines using workflow orchestration tools such as Airflow, Prefect, AWS Step Functions
- Deploying and managing infrastructure with automation to support data pipelines.
- Deploying and scaling machine learning models in production.
- Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.
Qualifications
- BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.
- Advanced experience in Python with an excellent understanding of computer science fundamentals, complex data structure, data processing, data quality, data lifecycle, and algorithms.
- Experience in Amazon AWS, DevOps and Automation (CloudFormation)
- AWS certification, or progress toward, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.
- Enjoys collaborating with other engineers on architecture and sharing designs with the team
- Excellent verbal and written English communication.
- Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment
Time zone: (GMT-05:00) Eastern Time +/- 2 hours
This is a full-time fully remote position for USA and Latin American-based applicants within +/- 2 hours of Eastern Standard Timezones (NYC).
Applicants must have strong written and oral communication in English.
—
Solutions Architect
Blue Orange Digital is looking for a Big Data Solutions Architect to join our talented multi-disciplinary team.
Blue Orange is looking for an experienced Big Data Solutions Architect with significant experience in enterprise Data Lake & Data Warehouse initiatives. We build modern data analytics platforms for our clients that incorporate advanced analytics and machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains. This person will work directly with our client's leadership to help define the architecture of the future enterprise data platform. They will work closely with stakeholders and team members to determine the needs of the platform and design solutions that can allow the company to use data more efficiently and build trust in it. The person who fills this role will get a chance to work with multiple subject areas from Supply Chain to Finance to IoT.
Responsibilities
- Design a cutting edge architecture for a Modern Data Platform that includes batch and streaming use cases.
- Analyze Client Needs and Requirements in order to design robust solutions
- Design and thoroughly document Software and Data Architectures for the client needs
- Work with stakeholders across the client's teams to understand their needs and make recommendations.
- Communicate solutions effectively with clients and team members
- Monitor progress and adjust architecture/decisions as needed
- Establish best practices and bake them into solution designs
- Consider security, performance, quality
- Create POCs to kickstart the development for the team.
- Evaluate new technologies
Qualifications
- Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
- 8+ years of enterprise IT experience across data engineering, software engineering, DevOps or architecture roles.
- Excellent verbal and written English communication.
- 5+ years of experience of Cloud computing experience.
- 5+ years of experience implementing Data Lake & Data Warehouse platforms.
- Experience with AWS Glue, AWS Redshift
- In-depth working knowledge in Big Data & Analytics
Preferred Qualifications
- AWS certification, at the associate level (Solutions Architect or Developer), or specialty (Big Data) a strong advantage.
- Demonstrated leadership in the fields of big data, data warehousing or data science.
- Understanding of Apache Hadoop and the Hadoop ecosystem. Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).
- Experience with streaming data systems and IoT applications.
- Hands-on experience in designing enterprise data models.
Company Introduction
"Top 10 AI development and consulting Agencies in NYC" - Clutch
As seen in:
IBM thinkLeaders, Dell Innovators, YahooFinance, Global Banking & Finance Review Magazine, IoT Council of Europe, AiBusiness, Data-Driven Investor, DataFloq, Supply Chain Matters, Machine Learning Times.
See all our Open Positions at BlueOrange.Digital
Founded by freelance engineers, Blue Orange Digital aims to bring an engineering-first approach to the development agency model. We aim to work on projects that use the latest and greatest technologies. We care about the products we build and only work with clients who understand that good applications come from happy engineers. We are an entirely distributed team with members all across the US and Latin America.
*If you're seeing this on a scraped job board go to our website:
BlueOrange.Digital > Careers > Apply Now > breezy.hr
and QUICK APPLY(3 min) with your Linkedin profile, Indeed profile, or attach an English resume. Done.
Time zone: (GMT-05:00) Eastern Time +/- 2 hours