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Senior Dataops Engineer Jobs in Reston, VA (NOW HIRING)

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... This position requires mid to senior level of experience, a passion for mission support, and a ...

... with senior-level technical labor categories Education: * Bachelor's degree in Data Science ... Experience with DevOps/DataOps practices and CI/CD pipelines for data workflows. * Exposure to

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... This position requires mid to senior level of experience, a passion for mission support, and a ...

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... This position requires mid to senior level of experience, a passion for mission support, and a ...

Senior Data Analyst

Washington, DC ยท On-site

$113K - $188K/yr

... with senior-level technical labor categories Education: * Bachelor's degree in Data Science ... Experience with DevOps/DataOps practices and CI/CD pipelines for data workflows. * Exposure to

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... This position requires mid to senior level of experience, a passion for mission support, and a ...

Data Engineer - Mid

Reston, VA ยท On-site

$119K - $143K/yr

... network engineers, senior investigators, program managers, researchers, and data analysts to ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... This position requires mid to senior level of experience, a passion for mission support, and a ...

Engineering Team Leader

Bethesda, MD ยท On-site

$109K - $144K/yr

Maintain transparent communication with senior management, presenting technical status, risk, and ... Experience implementing DevOps and DataOps practices * Experience working on projects related to ...

Engineering Team Leader

Bethesda, MD ยท On-site +1

$109K - $144K/yr

Maintain transparent communication with senior management, presenting technical status, risk, and ... Experience implementing DevOps and DataOps practices * Experience working on projects related to ...

Python Developer

Herndon, VA ยท On-site +1

$51.75 - $71.25/hr

We follow SAFe agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first ... This position requires mid to senior level of experience, a passion for mission support, and a ...

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Showing results 1-20

Senior Dataops Engineer information

See Reston, VA salary details

$61.9K

$131.7K

$190.9K

How much do senior dataops engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for senior dataops engineer in Reston, VA is $131,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $149,300.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior DataOps Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, automation, and data pipeline management. High compensation often reflects leadership roles, specialized expertise, or working in competitive industries and organizations with large-scale data infrastructure.

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 engineers make $500,000?

Senior DataOps Engineers with extensive experience, advanced skills in automation, cloud platforms, and data pipeline management can reach or exceed $500,000 in total compensation, 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 delivering complex data solutions.

Is DataOps a good career?

A career as a Senior DataOps Engineer involves managing data pipelines, automation, and collaboration between data engineering and operations teams. It is a growing field with high demand for skills in cloud platforms, scripting, and data management tools, offering opportunities for advancement and specialization.

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 is the salary of DataOps Engineer II?

The salary of a DataOps Engineer II typically ranges from $80,000 to $120,000 annually, depending on experience, location, and company size. This role often requires proficiency with tools like Apache Spark, Kubernetes, and cloud platforms, and may include benefits such as health insurance and performance bonuses.
What are the most commonly searched types of Dataops Engineer jobs in Reston, VA? The most popular types of Dataops Engineer jobs in Reston, VA are:
What are popular job titles related to Senior Dataops Engineer jobs in Reston, VA? For Senior Dataops Engineer jobs in Reston, VA, the most frequently searched job titles are:
Infographic showing various Senior Dataops Engineer job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $131,664 per year, or $63.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

NT Concepts

Herndon, VA โ€ข On-site, Remote

Other

Posted 12 days ago


Job description

NTC OVERVIEW:ย  We are seeking a Machine Learning Engineer to join our team. Working at NT Concepts means that you are part of an innovative, agile company dedicated to solving the most critical challenges in National Security. We're looking for the best and the brightest to join us in supporting this mission. If meaningful work, initiative, creativity, and continuous self-improvement are important to your career, join our growing team and discover What's Next for you.

Mission Focus: As a Machine Learning Engineer, you will have the unique opportunity to support research, design, and implement cutting edge algorithms for a program focused on building robust computer vision algorithms. This requires coding in Python with PyTorch, implementing and maintaining development environments and supporting ML tools, such as Kubeflow and MLFlow. Additionally, you will contribute to the program's source code, implementing data science techniques.

Our delivery teams are driven to explore new ideas and technology, and care deeply about collaboration, feedback, and iteration. We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate-first", use modern tech stacks, and constantly challenge each other to grow and improve.ย 

If cutting edge data science projects resonate with you, and you care deeply about joining a mission-driven company with a strong growth direction and diverse culture, we'd love to learn more about you. Check out the details below, and let's connect.ย 

Technical membersย of our solutions teams require little guidance, but love to learn, collaborate, and problem solve. This position requires mid to seniorย level of experience, a passion forย mission support, and a strong desire to solve our customers' hardest technical and data challenges.ย 

Clearance: TS/SCI Clearance required.

Location/Flexibility: Vienna, VA and Chantilly, VA with remote flexibility

Responsibilities:ย 

As a Machine Learning Engineer, you'll be part of the Agile team delivering machine learning applications and software systems at scale. You'll implement computer vision machine learning applications using existing and emerging technology platforms to deliver business value to our clients. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and develop your technical knowledge and skills to keep our team at the cutting edge of technology.

  • Collaborate with a cross-functional team comprising other ML Engineers, Software Engineers, DevSecOps Engineers, and Data Scientists.
  • Develop machine learning models and pipelines that are integral to mission success within this computer vision platform.

Qualifications:

  • 4+ years of relevant hands-on experience developing and implementing ML algorithms
  • Practical experience training and deploying Machine Learning models. Ideal candidate would have experience with PyTorch, NumPy, TensorFlow, VS Code)
  • Understanding of machine learning techniques and algorithms, data mining, and statistical analysis.
  • Experience with cloud platform (AWS, Azure and GCP), AWS experience preferred
  • Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevSecOps specifically GitLab CI/CD
  • Experience building and maintaining machine learning pipelines
  • Experience with container applications such as Docker, Kubernetes, OpenShift. Kubernetes is preferred
  • Practical programming and scripting skills (Python preferred)
  • Understanding of data structures, data modeling and software architecture.
  • A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
  • Experience with synthetic data generation for training and evaluation of ML Models is a plus
  • Experience working with customers to better optimize their ML objectives
  • Fast learner, analytical thinker, creative, hands-on, strong communication skills
  • Able to work both independently and as part of a team
  • Excellent problem-solving skills and attention to detail
  • Experience working with LLMs for problem solving and code production in a safe and responsible manner

Physical Requirements:ย 

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 10-15 pounds at times.

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