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Data Ops Manager Jobs in Virginia (NOW HIRING)

Data Engineer

Richmond, VA

$113K - $136K/yr

You'll collaborate closely with Data Architects, Data Analysts, and our Data Ops Manager to design scalable solutions, develop data access APIs, and evolve our analytics platform. This role is ideal ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

You'll collaborate closely with Data Architects, Data Analysts, and our Data Ops Manager to design scalable solutions, develop data access APIs, and evolve our analytics platform. This role is ideal ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

You'll collaborate closely with Data Architects, Data Analysts, and our Data Ops Manager to design scalable solutions, develop data access APIs, and evolve our analytics platform. This role is ideal ...

Looking for a Technical leader who will be responsible for managing the networks and data center operations. Overseeing 8 total, the Network Ops Manager mus be able to mentor, train, lead/develop.

... managing and supporting customer service initiatives for example store of the community and ... data insights and analysis balances short and longterm priorities and considers our customers ...

... managing and supporting customer service initiatives for example store of the community and ... data insights and analysis balances short and longterm priorities and considers our customers ...

(USA) Coach/Ops Mgr Trainee

Norfolk, VA · On-site

$31.25 - $38.46/hr

... managing and supporting customer service initiatives for example store of the community and ... data insights and analysis balances short and longterm priorities and considers our customers ...

... managing and supporting customer service initiatives for example store of the community and ... data insights and analysis balances short and longterm priorities and considers our customers ...

... Ops, model ops, and data ops to develop tools and get them into the hands of those who need them ... Relate to AI enabled, policy controlled containerized application and data workload management and ...

... Ops, model ops, and data ops to develop tools and get them into the hands of those who need them ... Relate to AI enabled, policy controlled containerized application and data workload management and ...

... Ops, model ops, and data ops to develop tools and get them into the hands of those who need them ... Relate to AI enabled, policy controlled containerized application and data workload management and ...

... Ops, model ops, and data ops to develop tools and get them into the hands of those who need them ... Relate to AI enabled, policy controlled containerized application and data workload management and ...

... Ops, model ops, and data ops to develop tools and get them into the hands of those who need them ... Relate to AI enabled, policy controlled containerized application and data workload management and ...

... data to Engineering/Programming ; completing Service turnover documentation;   completing Owner Training. * ACHIEVES FINANCIAL OBJECTIVES  by   collaborating with Ops management team by ...

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Data Ops Manager information

What are some common challenges faced by Data Ops Managers, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What does a data operations manager do?

A data operations manager oversees the processes and systems that manage an organization’s data, ensuring data quality, security, and accessibility. They coordinate data workflows, implement data governance policies, and often work with tools like data pipelines and databases to support analytics and decision-making.

What are Data Ops Managers?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

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

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What job makes $10,000 a month without a degree?

A Data Ops Manager can potentially earn $10,000 or more per month through experience and expertise in data management, automation, and cloud platforms. High-paying roles in data management often require strong technical skills, certifications, and experience rather than formal degrees. Other jobs like sales, real estate, or entrepreneurship can also reach this income level without a degree, depending on performance and opportunities.

What jobs make $1,000,000 a year?

In the field of Data Operations, senior roles such as Director of Data Operations or Chief Data Officer can reach or exceed $1,000,000 annually, especially in large organizations or with significant bonuses and stock options. These positions typically require extensive experience, advanced skills in data management, and leadership capabilities. Compensation varies widely based on company size, industry, and geographic location.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, roles like Data Ops Managers with extensive experience, leadership responsibilities, and advanced skills in data management and automation may reach or exceed this level, especially with bonuses and stock options.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are popular job titles related to Data Ops Manager jobs in Virginia? For Data Ops Manager jobs in Virginia, the most frequently searched job titles are:
What cities in Virginia are hiring for Data Ops Manager jobs? Cities in Virginia with the most Data Ops Manager job openings:

$113K - $136K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Design, develop, and maintain efficient, scalable data pipelines that align with business requirements.

  • Implement ETL processes and data conversions using industry-standard tools and best practices.

  • Develop and manage data access APIs interfaced by various internal and external services.


Job description

Are you a skilled data professional who thrives on turning complex data into business-driving insights? Join Kinsale Insurance, a leading excess and surplus (E&S) lines carrier headquartered in Richmond, VA. We're known for our innovative, data-driven approach and high-touch solutions that help clients navigate complex risks. At Kinsale, technology isn't just support — it's a strategic advantage, and our Data Engineers are central to that mission.

About the Role

As a Data Engineer on Kinsale's Technology team, you'll be at the heart of building, testing, and deploying the data pipelines that fuel our company's decision-making. You'll collaborate closely with Data Architects, Data Analysts, and our Data Ops Manager to design scalable solutions, develop data access APIs, and evolve our analytics platform. This role is ideal for someone who is equally passionate about clean architecture and practical results — and who is excited to incorporate AI tools to work smarter and faster.

What You'll Do
  • Designing, developing, and maintaining efficient, scalable data pipelines that align with business requirements.
  • Implementing ETL processes and data conversions using industry-standard tools and best practices.
  • Conducting complex data analysis and generating comprehensive reports to support strategic initiatives.
  • Developing and managing data access APIs interfaced by various internal and external services.
  • Monitoring system performance and proposing improvements to enhance data reliability, efficiency, and quality.
  • Diagnosing and resolving root-cause issues related to database platforms and their integrations.
  • Leveraging Generative AI tools (e.g., Claude Code, ChatGPT) to accelerate code generation, documentation, and development workflows — while applying sound judgment around data sensitivity and AI usage boundaries.
  • Creating and maintaining documentation for databases and data processes to ensure team continuity and knowledge sharing.
What You Bring
  • Bachelor's degree in Computer Science, Technology, or a related field — or equivalent hands-on experience.
  • Advanced SQL knowledge and experience with relational databases, query authoring, and database object creation.
  • Strong proficiency in Python for data engineering and automation tasks.
  • Proven experience building data transformation processes, managing data structures, and handling workload dependencies.
  • Experience with public cloud database architecture and implementing database technologies at scale.
  • Analytical problem-solving mindset with the ability to identify and resolve issues efficiently while keeping solutions simple.
  • Ability to manage multiple initiatives independently and collaborate effectively across cross-functional teams.
  • AWS Associate-level certification, CI/CD pipeline experience (Liquibase, Redgate), or familiarity with BI tools such as Qlik Sense/Qlik View are a plus.
  • Knowledge of dimensional modeling, data warehouses, data vaults, or machine learning tools is a welcome bonus.
Why You'll Love Working at Kinsale
  • Competitive Pay & Bonus Opportunities – Rewarding performance and initiative with a strong base salary and performance-based bonuses.
  • Comprehensive Benefits – Health, dental, and vision insurance with up to $3,600 (individual) or $6,800 (family) in HSA contributions per year.
  • Work-Life Balance – Generous paid time off including 22 days of PTO and 10 paid company holidays.
  • Career Growth – Clear promotion paths, mentorship, and ongoing professional development in a high-performing environment.
  • Retirement & Security – Up to 6% matching 401(k) contributions on base salary and bonus, plus standard life insurance and disability coverage.
  • Continuous Learning – Annual $3,000 reimbursement for educational training and certifications to keep your skills cutting-edge.
Integrity & Responsibility

Kinsale values strong financial responsibility. A credit check will be conducted as part of the selection process for roles that require sound judgment, trustworthiness, or access to sensitive information.

Ready to Apply?

If you're passionate about data, eager to build solutions that matter, and ready to grow with a company that rewards excellence and collaboration, we want to hear from you. Join Kinsale Insurance and help shape the data infrastructure behind one of the industry's top performers.

Apply today and start building your future with us!