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Senior Dataops Engineer Jobs in Boston, MA (NOW HIRING)

Stellix

Senior Data Engineer III

Foxboro, MA · On-site

$112K - $152K/yr

The Position We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics ... Experience with DevOps/DataOps, Continuous Integration and Continuous Delivery (CI/CD) principles ...

Clean Harbors

Director Product Engineering

Norwell, MA

$245K - $257K/yr

Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI ... Stakeholder Engagement Own communications with SteerCo, senior business sponsors, and peer platform ...

CleanHarbors

Director Product Engineering

Norwell, MA

$245K - $257K/yr

Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI ... Stakeholder Engagement Own communications with SteerCo, senior business sponsors, and peer platform ...

Clean Harbors

Director Product Engineering

Norwell, MA · On-site

$290K/yr

Stakeholder Engagement • Own communications with SteerCo, senior business sponsors, and peer ... Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI ...

Clean Harbors

Director Product Engineering

Norwell, MA

$245K - $257K/yr

Hands-on familiarity with Azure, GitHub, DevOps pipelines, API design, DataOps, OpenAI/GenAI ... Stakeholder Engagement Own communications with SteerCo, senior business sponsors, and peer platform ...

State Street

Product Management, MD

Burlington, MA · On-site

$253K - $265K/yr

... engineering standards including DevOps/DataOps practices, CI/CD, and Product Security • ... senior leadership and cross-functional stakeholders. Preferred : • Experience in investment ...

All JobsDataops Engineer JobsSenior Dataops Engineer JobsSenior Dataops Engineer Jobs in Boston, MA

Senior Dataops Engineer information

See Boston, MA salary details

$64.6K

$137.5K

$199.4K

How much do senior dataops engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior dataops engineer in Boston, MA is $137,492.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $155,900.00 per year, depending on experience, location, and employer.

What are some common challenges a Senior DataOps Engineer faces when scaling data infrastructure for a growing organization?

A Senior DataOps Engineer often encounters challenges such as ensuring data pipeline reliability during rapid scaling, managing increasing data volume and complexity, and maintaining high data quality across distributed environments. Balancing automation with flexibility, integrating new tools with legacy systems, and coordinating with cross-functional teams (like data scientists and DevOps) are also key hurdles. Success in this role requires proactively identifying bottlenecks, optimizing workflows, and fostering a culture of collaboration to support evolving business needs.

What are the key skills and qualifications needed to thrive as a Senior DataOps Engineer, and why are they important?

To thrive as a Senior DataOps Engineer, you need a solid background in data engineering, automation, CI/CD pipelines, and strong knowledge of data architecture, usually supported by a degree in computer science or a related field. Expertise in tools like Apache Airflow, Kubernetes, Docker, cloud platforms (AWS, Azure, or GCP), and proficiency with scripting languages such as Python or Bash are typically required, along with certifications like AWS Certified Solutions Architect or Google Cloud Data Engineer. Outstanding problem-solving skills, collaboration, and effective communication are essential soft skills for integrating diverse teams and managing complex workflows. These capabilities ensure data reliability, streamlined operations, and scalable solutions in dynamic data-driven environments.

What is the difference between Senior Dataops Engineer vs Data Engineer?

AspectSenior Dataops EngineerData Engineer
CredentialsTypically requires experience with cloud platforms, scripting, and data pipeline toolsRequires knowledge of database systems, SQL, and data modeling
Work EnvironmentFocuses on deployment, automation, and maintaining data infrastructureDesigns and builds data pipelines and storage solutions
Industry UsageCommon in organizations emphasizing data operations and automationWidespread across industries for data storage and processing

The main difference is that Senior Dataops Engineers focus on managing and automating data workflows and infrastructure, while Data Engineers primarily design and build data pipelines and storage systems. Both roles require strong technical skills, but their focus areas differ within the data ecosystem.

What are Senior DataOps Engineers?

Senior DataOps Engineers are experienced professionals who design, implement, and manage data pipelines and workflows to ensure reliable, efficient, and scalable data operations within an organization. They bridge the gap between data engineering, DevOps, and analytics by automating data integration, deployment, and monitoring processes. Their role often includes optimizing data infrastructure, ensuring data quality, and enabling data teams to quickly deliver insights. Senior DataOps Engineers also mentor junior team members and help define best practices for data operations.
What are popular job titles related to Senior Dataops Engineer jobs in Boston, MA? For Senior Dataops Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Senior Dataops Engineer jobs in Boston, MA look for? The top searched job categories for Senior Dataops Engineer jobs in Boston, MA are:
What cities near Boston, MA are hiring for Senior Dataops Engineer jobs? Cities near Boston, MA with the most Senior Dataops Engineer job openings:
Senior Dataops Engineer jobs near you
Senior Data Engineer III

Senior Data Engineer III

Stellix

Foxboro, MA • On-site

$112K - $152K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

About Stellix
The Stellix Group of companies share a common mission of providing transformative solutions at the intersection of science and technology that enable our customers to deliver a healthier and more sustainable future. Our unique portfolio of companies is focused on helping life sciences and industry manufacturers build, connect, and transform operations and IT to make real progress in breakthrough therapeutics, food, energy, and more.
The Position
We are seeking a Senior Data Engineer to join our growing Enterprise Data & Analytics team. Our mission is to empower every team across the organization with timely, trusted, and actionable data. In this role, you will own and build our Enterprise Data Platform (EDP), which supports analytics and insights across the organization. Our technology stack includes Snowflake, dbt, Fivetran, Airflow, and Power BI, all running in the AWS cloud.
This is an individual contributor role with a strong emphasis on technical leadership, including ownership of architectural decisions and driving best practices, but without direct people management responsibilities. You'll be responsible for designing, developing, and maintaining all components of the EDP. You will transform raw data into reliable, actionable insights that empower strategic decision-making enterprise wide.
This role offers a clear path for growth into Principal Data Engineer or Data Architect, based on demonstrated technical expertise, cross-functional impact, and innovation in data engineering. It's ideal for someone who wants both technical ownership and strategic impact without people management responsibilities.
Responsibilities
Platform & Architecture (25%)
  • 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.

Pipeline Development & Data Integration (50%)
  • 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.

Collaboration & Data Quality (10%)
  • 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.

Technology Best Practices & Innovation (15%)
  • 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:
Education: Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred.
Experience: 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.
Technical Proficiency: 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.
Communication & Mindset: 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.
Skills:
  • 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 AWS and Snowflake preferred.
  • Experience with ETL/ELT design and development using tools like Informatica, Matillion, AWS Glue, or equivalent. Experience with Fivetran, dbt preferred.
  • 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.
  • Familiarity with data quality and testing frameworks (e.g., dbt tests, Great Expectations, Soda) is a plus.

Here's What You'll Get
  • Highly competitive Medical, Dental, and Vision Insurance
  • Flexible Spending or Health Savings Accounts
  • Unlimited Vacation Time
  • 10 Paid Holidays
  • 12 Paid Weeks Maternity Leave
  • Pet Insurance
  • Retirement Savings: 401(k) and Employee Stock Ownership Plan
  • Employee Referral Bonus
  • Professional Development Reimbursement
  • Company Paid STD, LTD, and Life Insurance

Compensation: This position offers a base salary range of $130,000 to $160000, based on experience and qualifications. The role is also eligible for a variable compensation plan.
Must be currently authorized to work in the United States.
Policy on Third-Party Unsolicited Resume Submissions: Please note that any third-party unsolicited resume submissions will immediately become the property of Stellix. Stellix will not pay any fee to a submitting employment agency, person, or entity unless a signed agreement is established.
Please Note: Stellix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, protected veteran status or any other characteristic protected by law.

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