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Dataops Engineer Jobs in Massachusetts (NOW HIRING)

Data Engineer

Boston, MA

$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 ...

Director Product Engineering

Norwell, MA ยท 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 ...

Director Product Engineering

Norwell, MA

$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 ...

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 ...

Director Product Engineering

Norwell, MA ยท 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 ...

... engineering with AI consulting. We collaborate with some of the world's leading data-rich ... and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global ...

Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North ...

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Showing results 1-20

Dataops Engineer information

See Massachusetts salary details

$25

$68

$118

How much do dataops engineer jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for dataops engineer in Massachusetts is $68.12, according to ZipRecruiter salary data. Most workers in this role earn between $49.25 and $75.04 per hour, depending on experience, location, and employer.

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:
Senior / Principal Software Engineer .. Multiple Positions Open!

Senior / Principal Software Engineer .. Multiple Positions Open!

Roberts Recruiting

Cambridge, MA โ€ข On-site, Remote

$137K - $189K/yr

Other

Medical, Dental, Retirement

Posted 20 days ago


Job description

Job description
As a member of our product development team, you will get a true startup experience that includes developing product features (of course) on our web-based DataOps product, supporting sales through Proof of Value projects, working with company founders and customers, enhancing the scalability and reliability of the product, and contributing to our continuously improving Agile development process. The successful candidate will have top technical skills, excellent attention to detail and follow-up, and the ability to self-manage.
Required Qualifications:
  • 5+ years of software development experience with a record of delivering successful products
  • Python or comparable programming language
  • Server side development: implementing services and distributed back ends
  • Ability to write well tested code
  • An Agile mindset
Qualifications that are a plus
  • Cloud platform experience (e.g. AWS)
  • Docker experience
  • Mesos or Kubernetes usage
About Us:
We enable analytic teams to deliver value quickly, with high quality, using the tools that they love. We providethe world's first DataOps platform for data-driven enterprises, enabling them to support data analytics that can be quickly and robustly adapted to meet evolving requirements. We areleading the DataOps movement to incorporate Agile Software Development, DevOps, and manufacturing based statistical process control into analytics and data management.
We offer competitive pay, stock options, health and dental insurance, 401(k) with company match, incentive stock options, open time off policy, an experienced team, amazing customers, and a cool office location with a well-stocked kitchen. Visa sponsorship and relocation is available for the right candidate already in the United States.