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Data Operations Engineer Jobs (NOW HIRING)

Lead Data Engineer

Seattle, WA ยท On-site

$130K - $156K/yr

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also ...

Data Ops Engineer VFDE

San Diego, CA ยท On-site

$200K - $240K/yr

ORA_ON_SITE Description We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of ...

Data Operations Manager

Eden Prairie, MN ยท On-site

$140K - $155K/yr

Partner with Technology, Data Engineering, and business stakeholders to build the future-state data environment. * Drive data governance, quality, reporting, and operational best practices.

KEY RESPONSIBILITIES Operational Data Engineering * Design, build and maintain pipelines that ... consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources ...

Automation & Platform Engineering: Reduce operational toil by building self-service workflows ... Data Quality Frameworks: Building automated "circuit breakers" that stop data from reaching the ...

Software/DevOps Engineer

$54 - $74/hr

... s Engineer operates within an existing cloud and application environment, focusing on reliability ... Build and enhance data ingestion components, including integrations, transformations, and ...

KEY RESPONSIBILITIES Operational Data Engineering * Design, build and maintain pipelines that ... consolidate data from PagerDuty, Jira, ServiceNow, Datadog, Splunk and other operational sources ...

Software/DevOps Engineer

Denver, CO ยท On-site

$54.25 - $74.25/hr

... s Engineer operates within an existing cloud and application environment, focusing on reliability ... Build and enhance data ingestion components, including integrations, transformations, and ...

New

Data Engineering & Infrastructure - Design, build, and maintain scalable, resilient data pipelines ... Operational & Mission Support - Translate operational requirements into data engineering solutions ...

Data Ops Engineer

San Diego, CA ยท On-site

$121K - $145K/yr

We are seeking a Data Operations Engineer to design, build, and maintain real-time data ingestion pipelines. In this role, you will be responsible for the reliable flow of streaming data from a wide ...

Manager, Data Operations

Liberty, NY ยท On-site

$167K - $175K/yr

Job Title Manager, Data Operations Meredith Operations Corporation has an opening for a Manager ... Define and champion engineering best practices around code quality, documentation, version control ...

New

The ideal candidate will contribute to platform and automation improvements while working closely with Data Engineering to support data ingestion, pipelines, and data operations. Responsible for ...

The ideal candidate will contribute to platform and automation improvements while working closely with Data Engineering to support data ingestion, pipelines, and data operations.

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Data Operations Engineer information

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$135K

How much do data operations engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data operations engineer in the United States is $85,029.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,500.00 and $94,000.00 per year, depending on experience, location, and employer.

What does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently and accurately. They often work with tools like SQL, Python, and cloud platforms to automate data workflows, troubleshoot issues, and optimize data systems for analytics and reporting.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What engineers make $300,000 a year?

Senior data operations engineers, especially those with extensive experience, advanced skills in data management, automation, and cloud platforms, can earn $300,000 or more annually. High compensation often depends on factors such as location, industry, certifications, and the complexity of data systems managed.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

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

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What engineers make $500,000?

Senior data operations engineers with extensive experience, advanced skills in data management, automation, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

What are some common challenges faced by Data Operations Engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
More about Data Operations Engineer jobs
What states have the most Data Operations Engineer jobs? States with the most job openings for Data Operations Engineer jobs include:
What job categories do people searching Data Operations Engineer jobs look for? The top searched job categories for Data Operations Engineer jobs are:
Infographic showing various Data Operations Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $85,029 per year, or $40.9 per hour.
Lead Data Engineer

Lead Data Engineer

PitchBook Data

Seattle, WA โ€ข On-site

$130K - $156K/yr

Other

Medical, Life, Retirement

Posted 9 hours ago


Job description

About the Role:

At PitchBook, we believe that the Data Operations team plays a vital role in setting us apart from our competitors. We take immense pride in providing top-quality data to our customers, while also being accountable, collaborative, and receptive to feedback. Our team members are highly engaged, detail-oriented, and always eager to learn and grow as our industry evolves.

Our reputation for excellence is a direct result of our deep commitment to building the world's best private market database, and we recognize the importance of investing in our team members from day one. That's why we offer specialized training and a mentorship program that is tailored specifically to the needs of the Data Operations team.

We value and celebrate the diverse perspectives, talents, and experiences of our team members and recognize the importance of building trust and strong cross-functional partnerships. If you're looking for a challenging and rewarding opportunity to take your career to new heights, we invite you to join us at PitchBook.

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We're deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.ย 

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there's going to be some ambiguity along the way, but we excel when we challenge ourselves. We're willing to take risks, fail fast, and do it all over again in the pursuit of excellence.ย 

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.ย 

Primary Job Responsibilities:

  • Lead the design and development of scalable data pipelines and workflows that support Data Operationsย 
  • Define and implement best practices for data modeling, pipeline orchestration, testing, and monitoringย 
  • Drive improvements in data architecture, including warehousing, transformation layers, and data access patternsย 
  • Identify opportunities to modernize tooling, improve performance, and reduce operational overheadย 
  • Act as a technical mentor and coach a team of data engineers with diverse experience levels ย 
  • Uplevel the team's capabilities in SQL, Python, data modeling, and system design ย 
  • Establish coding standards, review processes, and develop best practices ย 
  • Help bridge the gap between operationally minded team members and software engineering rigor ย 
  • Serve as the primary technical point of contact for Data Operations leadership and key stakeholders ย 
  • Partner with Product, Engineering, and Data Platform teams to align architecture and shared capabilities ย 
  • Translate business and operational needs into clear technical requirements and solutions ย 
  • Influence prioritization and roadmap decisions within Data Operations initiatives ย 
  • Build and maintain data solutions that integrate human-driven workflows with automated systems ย 
  • Develop reporting and monitoring solutions to ensure data quality, pipeline reliability, and operational visibility ย 
  • Deeply understand Data Operations processes and identify opportunities for automation and optimization ย 
  • Balance speed and quality in a fast-moving, ambiguity-rich environmentย 
  • Support the vision and values of the company through role modeling and encouraging desired behaviorsย 
  • Participate in various company initiatives and projects as requestedย 

Skills and Qualifications:

  • Bachelor's degree in computer science, Engineering, Statistics, Information Systems, or related fieldย 
  • 5+ years of experience in data engineering or related rolesย 
  • Advanced SQL skills and strong experience working with large, complex datasetsย 
  • Strong Python experience for data processing, automation, and pipeline developmentย 
  • Proven experience building and maintaining ETL/ELT pipelines (batch and event driven) and data workflowsย 
  • Experience with data warehousing concepts and modern data stacks (e.g., Snowflake or similar)ย 
  • Ability to design scalable, maintainable data models and systemsย 
  • Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholdersย 
  • Demonstrated experience mentoring or guiding other engineers (formally or informally)ย 
  • Experience working with large-scale proprietary data environmentsย 
  • Familiarity with orchestration tools (e.g., Airflow) and modern data toolingย 
  • Experience with BI tools such as Tableau or Power BIย 
  • Exposure to cloud platforms (AWS, Azure, or GCP)ย 
  • Experience improving data quality, observability, and governance practicesย 
  • Experience applying AI/ML or automation techniques to improve operational efficiencyย 
  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Benefits + Compensation at PitchBook:

Physical Healthย ย ย ย ย ย ย ย ย ย  ย 

  • Comprehensive health benefits
  • Additional medical wellness incentivesย 
  • STD, LTD, AD&D, and life insurance

Emotional Healthย 

  • Paid sabbatical program after four years
  • Paid family and paternity leaveย 
  • Annual educational stipend
  • Ability to apply for tuition reimbursement
  • CFA exam stipendย 
  • Robust training programs on industry and soft skillsย 
  • Employee assistance program
  • Generous allotment of vacation days, sick days, and volunteer days

Social Healthย 

  • Matching gifts program
  • Employee resource groups
  • Subsidized emergency childcareย ย 
  • Dependent Care FSA
  • Company-wide events
  • Employee referral bonus programย ย 
  • Quarterly team building events

Financial Healthย 

  • 401k match
  • Shared ownership employee stock programย 
  • Monthly transportation stipend

*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.ย 

Compensation

  • Annual base salary: $175,000 - $220,000
  • Target annual bonus percentage: 15%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments-those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices-that simply can't be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

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