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Data Operations Manager Jobs in Washington (NOW HIRING)

GRVTY

Data Integration Team Lead

Springfield, VA · On-site

Provide data integration support in the form of data governance, data architecture, data warehousing, data quality management, metadata management, data operations management, and data discovery.

TOM MUSE SERVICE COMPANY

Operations Manager

Vienna, VA

$45K - $65K/yr

Examine financial data and budgets and create financial forecasts * Set and monitor key performance ... Previous experience as an Operations Manager is preferred * Deep understanding of organizational ...

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Data Operations Manager information

See Washington salary details

$35.1K

$110K

$194.8K

How much do data operations manager jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data operations manager in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Operations Manager?

A Data Operations Manager’s daily responsibilities often include overseeing the flow of data across systems, ensuring high data quality and security, and coordinating the activities of data analysts and engineers. They are responsible for developing and optimizing data processes, monitoring system performance, troubleshooting operational issues, and implementing data governance policies. Collaboration is key, as they frequently work with IT teams, business analysts, and stakeholders to ensure data needs and compliance standards are met. This role requires balancing strategic planning with hands-on management of day-to-day data operations.

What are the key skills and qualifications needed to thrive in the Data Operations Manager position, and why are they important?

To thrive as a Data Operations Manager, you need expertise in data management, analytics, workflow optimization, and a strong background in data governance, commonly backed by a degree in computer science or a related field. Proficiency with data warehousing solutions, ETL tools, SQL, and platforms like Tableau or Power BI, along with familiarity with industry certifications such as CDMP or PMP, is highly valuable. Strong leadership, problem-solving, and organizational skills enable effective collaboration with cross-functional teams and the ability to manage complex data projects. These skills and attributes are crucial for ensuring data quality, streamlining operations, and supporting business decision-making through accurate and timely data management.

What is a Data Operations Manager job?

A Data Operations Manager oversees the processes and systems that manage an organization's data to ensure accuracy, efficiency, and accessibility. They collaborate with data engineers, analysts, and IT teams to improve data workflows, maintain data integrity, and optimize data governance. Their responsibilities often include automating data processes, troubleshooting issues, and ensuring compliance with data policies. This role is critical for organizations that rely on data-driven decision-making and operational efficiency.

What are the most commonly searched types of Data Operations jobs in Washington? The most popular types of Data Operations jobs in Washington are:
What are popular job titles related to Data Operations Manager jobs in Washington? For Data Operations Manager jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Data Operations Manager jobs in Washington look for? The top searched job categories for Data Operations Manager jobs in Washington are:
What cities in Washington are hiring for Data Operations Manager jobs? Cities in Washington with the most Data Operations Manager job openings:
Data Operations Manager jobs near you
Data Operations Lead (Hybrid) - 27895

Data Operations Lead (Hybrid) - 27895

Huntington Ingalls Industries

Columbia, MD • On-site

$137K - $195K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Huntington Ingalls Industries rating

7.7

Company rating: 7.7 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

188th of 518 rated manufacturers

Job description

Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science. Enlighten provides continued innovation and proactivity in meeting our customers' greatest challenges.
We recognize that the most effective environment for your projects doesn't always look the same. Our hybrid work approach ensures that you can make lasting relationships with your team and collaborate in-person to get the job done-while having the flexibility to work from home when needed to achieve focused results.
Why Enlighten?
At Enlighten, our team's unwavering work ethic, top talent and celebration of innovative ideas have helped us thrive. We know that our employees are essential to our company's success, so we seek to take care of you as much as you take care of us. Here are a few highlights of our benefits package:
• 100% paid employee premium for healthcare, vision and dental plans.
• 10% 401k benefit.
• Generous PTO + 10 paid holidays.
• Education/training allowances.
Anticipated Salary Range: $137,510.00 - $195,000.00. The salary range for this role is intended as a good faith estimate based on the role's location, expectations, and responsibilities. When extending an offer, Enlighten takes a variety of factors into consideration which include, but are not limited to, the role's function, internal equity and a candidate's education or training, work experience, certifications and key skills. Occasionally positions/roles may include additional non-recurrent compensation and will be addressed by the recruiter during the interview process.
Job Description
As a member of the Data Operations Team at Enlighten, you will lead a technically focused team responsible for the reliability, uptime, and speed-to-delivery of mission-critical data sets. This role requires a heavy focus on customer interface, serving as the primary technical point of contact for stakeholders. You will translate complex mission requirements into technical workflows, ensuring that our data pipelines are automated, documented, and precisely aligned with customer needs.
This position focuses on the systems engineering and platform stability required to manage high-velocity data across complex ecosystems. You will oversee the transition from reactive data fixing to an adaptive, self-healing platform, managing the "Flow Owners" who monitor, troubleshoot, and optimize data infrastructure while maintaining high-touch communication with the client.
#LI-DS1 #Mid-Senior Level
Essential Job Responsibilities
  • Customer Interface & Engagement: Serve as the lead liaison between the customer and the technical team. You will manage expectations, communicate technical roadmaps, and translate mission-specific data needs into actionable engineering tasks.
  • Operational Leadership: Manage the daily operations of the DataOps team, focusing on accelerating data availability and minimizing the latency between initial data identification and final database availability.
  • Systems Engineering Oversight: Oversee the deployment and maintenance of data flows using standardized templates and core libraries provided by the Engineering team.
  • Performance Tuning: Responsible for immediate cluster performance tuning and pipeline monitoring to ensure data health and discovery latency are minimized.
  • Strategic Alignment: Drive the technical evolution of the data platform, moving the organization from a reactive maintenance state toward a proactive, automated, and adaptive operational model.
  • Ecosystem Coordination: Facilitate technical exchanges to ensure scripts, flow strategies, and wins in one area of the ecosystem are adapted and utilized across others.
  • Quality Governance: Implement automated "Quality Gates" and schema validations to ensure data integrity before it reaches production environments.
  • Technical Troubleshooting: Lead the decomposition of complex technical problems and troubleshoot systemic dataflow issues across distributed messaging, orchestration, and cloud environments.
  • Other duties as assigned.

Minimum Qualifications
  • Security Clearance - Must have a current Secret level U.S. Government security clearance; U.S. Citizenship required.
  • Must have 9+ years in technical operations, systems engineering, or data management with a Bachelor's degree; OR 7 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 13 years relevant experience.
  • Distributed Systems & Cloud Platforms: Proven experience managing high-volume data flow and storage solutions, specifically distributed messaging queues, data orchestration engines, and cloud-native storage.
  • Observability & Log Analysis: Strong familiarity with enterprise observability platforms and log analysis tools for monitoring system health and minimizing data discovery latency.
  • Data Standards: Deep understanding of network data, metadata fill rates, and various log formats such as JSON and XML.
  • ETL Management: Fluency in managing extraction, translation, and loading (ETL) processes to enable rapid analytics.
  • Data Validation: Experience with Structure Query Language (SQL) for the purposes of data validation in conjunction with members of the team and the customer.
  • Scripting for Automation: Ability to utilize scripting languages (e.g., Python or Java) to implement shared libraries that automate repetitive tasks and improve operational efficiency.
  • Technical Communication: Exceptional ability to communicate technical concepts to non-technical stakeholders and translate customer mission requirements into technical specifications.
  • Must be able to obtain Security+ certification within 60 days of hire.
  • Must be able to work in a hybrid environment, spending an average of 1-2 days per week at our Columbia, MD office. Flexibility is essential to adapt to schedule changes as needed.

Preferred Requirements
  • TS/SCI eligibility preferred.
  • Customer Success Background: Prior experience in a technical account management or customer-facing engineering role.
  • Scalable Architectures: Experience with distributed data processing and cloud-native storage solutions.
  • Security Operations: Prior experience supporting cyber or network security operations.
  • Governance & Access: Knowledge of implementing automated Attribute Based Access Control (ABAC) or data masking within production pipelines.

We have many more additional great benefits/perks that you can find on our website at www.eitccorp.com [eitccorp.com].

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