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Dataops Engineer Jobs in Massachusetts (NOW HIRING)

Stellix Global Services

Lead Data Engineer

Foxboro, MA · On-site

$121K - $145K/yr

... DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles/technologies ... using tools such as BitBucket, Jenkins, or similar • Experience with Agile methodologies, common ...

Dlapiper

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

... DataOps concepts and operating in cross-functional teams that include data engineering personas. * The measures of success for this role include delivering data pipelines with trusted, quality data ...

Stellix

Senior Data Engineer III

Foxboro, MA · On-site

$112K - $152K/yr

Experience with DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles/technologies using tools such as BitBucket, Jenkins, or similar. * Experience with Agile ...

Clean Harbors

Director Product Engineering

Norwell, MA · On-site

$245K - $257K/yr

Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI, Angular (or comparable front-end frameworks), and event-driven architectures. * Demonstrated success in ...

CleanHarbors

Director Product Engineering

Norwell, MA · On-site

$245K - $257K/yr

Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI, Angular (or comparable front-end frameworks), and event-driven architectures. * Demonstrated success in ...

Clean Harbors

Director Product Engineering

Norwell, MA · On-site

$245K - $257K/yr

Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI, Angular (or comparable front-end frameworks), and event-driven architectures. * Demonstrated success in ...

State Street

Product Management, MD

Burlington, MA · On-site

$253K - $265K/yr

... DevOps/DataOps practices, CI/CD, and Product Security • Experience implementing data governance, security, privacy, and regulatory controls in a financial services environment. • Proven ...

MAPFRE

Data Product Manager II

Webster, MA · On-site

Work closely with Data Engineers, Architects, BI Developers, and Governance teams throughout the ... DataOps * Informatica, Tamr, Reltio, or other MDM platforms * Property & Casualty Insurance data ...

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Dataops Engineer information

What are the key skills and qualifications needed to thrive in the Dataops Engineer position, and why are they important?

To thrive as a Dataops Engineer, you need a strong background in data engineering, automation, CI/CD practices, and cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Jenkins, Docker, Kubernetes, Terraform, and major cloud providers (AWS, Azure, GCP) as well as relevant certifications significantly enhances effectiveness in this role. Strong problem-solving skills, collaboration, and clear communication are essential soft skills for working across teams and addressing fast-changing data needs. These combined abilities ensure smooth data pipeline operations, minimize downtime, and enable efficient, reliable delivery of data-driven solutions.

What are the common day-to-day responsibilities of a Dataops Engineer?

A Dataops Engineer is typically responsible for designing, deploying, and maintaining automated data pipelines that support business analytics and operations. Daily tasks often include monitoring data workflows, troubleshooting pipeline issues, optimizing system performance, and collaborating with data scientists, analysts, and DevOps teams to ensure seamless data delivery. You may also be involved in implementing data quality checks, managing cloud resources, and improving deployment processes. This role is dynamic and fast-paced, requiring both technical expertise and effective cross-team communication. Working as a Dataops Engineer provides the opportunity to work on cutting-edge projects and directly influence data-driven decision-making across the organization.

What is a DataOps Engineer job?

A DataOps Engineer is responsible for streamlining and automating data workflows, ensuring data quality, and enabling efficient data integration across platforms. They work closely with data scientists, analysts, and engineers to implement CI/CD pipelines, manage data infrastructure, and optimize data delivery processes. Their role involves leveraging tools for orchestration, monitoring, and version control to enhance collaboration and reliability in data operations.

What are the most commonly searched types of Dataops Engineer jobs in Massachusetts? The most popular types of Dataops Engineer jobs in Massachusetts are:
What are popular job titles related to Dataops Engineer jobs in Massachusetts? For Dataops Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Dataops Engineer jobs in Massachusetts look for? The top searched job categories for Dataops Engineer jobs in Massachusetts are:
Dataops Engineer jobs near you
Infographic showing various Dataops Engineer job openings in Massachusetts as of July 2026, with employment types broken down into 14% Internship, 8% As Needed, 44% Full Time, 4% Part Time, 3% Contract, and 27% Nights. Highlights an 67% Physical, 9% Hybrid, and 24% Remote job distribution.

Lead Data Engineer

Stellix Global Services

Foxboro, MA • On-site

$121K - $145K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Stellix Global Services is focused on delivering transformative solutions at the intersection of science and technology. They are seeking a Senior Data Engineer to own and build their Enterprise Data Platform, supporting analytics and insights across the organization while emphasizing technical leadership and best practices.
Responsibilities:
• Responsible for scoping, architecting, designing, and developing robust data engineering solutions—including data pipelines, data integration, and infrastructure.
• Support the data architect in the creation of conceptual and logical data models. Own the creation of physical data model optimized for analytics, reporting, and AI/machine learning use cases.
• Serve as the technical owner of the data platform—making architectural decisions, maintaining high code quality, and delivering scalable, reliable solutions.
• Integrate data from diverse sources, including databases, APIs, flat files and cloud platforms.
• Design, and build performant, scalable data pipelines using tools like dbt, Fivetran, and Airflow.
• Troubleshoot issues with production data pipelines and implement monitoring and alerting as needed.
• Design and deliver curated datasets to support analytics engineers in building AI and BI solutions.
• Collaborate across business, governance, QA, and analytics teams to ensure data quality, consistency, and successful solution delivery.
• Implement data quality frameworks and automated tests to ensure integrity, trust, and traceability across the pipeline.
• Define and implement enterprise scale data engineering best practices, standards and guidelines across the development life cycle.
• Stay up to date on the latest data engineering trends and technologies, advocate for new technologies and champion their adoption to continuously improve our data infrastructure.
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
• 10+ years of Data Engineering experience, with at least 3 years in modern cloud/data stack
• Demonstrated experience designing and implementing enterprise scale data platforms
• Proficient in data management disciplines, including data integration, modeling, building data warehouses/lakes, and data quality, or other areas relevant to data engineering responsibilities and tasks
• Strong communication skills, to be able to clearly articulate technical concepts to non-technical stakeholders
• Strong problem-solving skills and a proactive, ownership-driven mindset
• Proficiency in the design and implementation of modern data architectures such as cloud services (AWS, Azure, GCP) and modern data warehouse technologies (Snowflake, Databricks, Redshift, BigQuery)
• Experience with ETL/ELT design and development using tools like Informatica, Matillion, AWS Glue, or equivalent
• Strong experience with database/big data technologies such as Oracle, SQL Server, Teradata, Apache Spark, Delta Lake, Hadoop
• Experience with DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles/technologies using tools such as BitBucket, Jenkins, or similar
• Experience with Agile methodologies, common scrum practices and tools
Preferred:
• Master’s degree
• Experience with AWS and Snowflake
• Experience with Fivetran, dbt
• Familiarity with data quality and testing frameworks (e.g., dbt tests, Great Expectations, Soda)
Company:
Stellix Global Services is a manufacturing technology company that offers digital transformation and IT/OT solutions. Founded in , the company is headquartered in Boxborough, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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