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

Lancesoft

Senior Full Stack Engineer

Reston, VA · On-site +1

$75 - $85/hr

Senior Full Stack Software Engineer Mode: Temp to Hire Location: Remote (need to work in core EST ... Experience setting up a DataOps Meet Your Recruiter Chahat Mehta

Leidos

Data Engineer - Senior

Reston, VA · On-site

$110K - $149K/yr

Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ... Engineering, Information Systems, or related technical discipline and 5 years of related senior ...

NT Concepts

Senior Software Engineer

Reston, VA · On-site +1

$127K - $168K/yr

We are seeking a Senior Software Engineer to join our team. Working at NT Concepts means that you ... We follow lean agile practices, embrace the Ops (DataOps/DevSecOps/MLOps) to "automate-first", use ...

Leidos

Senior Data Engineer

Alexandria, VA · On-site

$113K - $154K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Data Engineer to support the ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

Leidos

Senior Data Engineer

Gaithersburg, MD

$114K - $155K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Data Engineer to support the ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

Leidos

Senior Data Engineer

Alexandria, VA

$113K - $154K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Data Engineer to support the ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

Leidos

Senior Data Engineer Lead

Alexandria, VA · On-site

$113K - $154K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Data Engineer Lead to support ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

Leidos

Senior Data Engineer Lead

Alexandria, VA

$113K - $154K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Data Engineer Lead to support ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

Leidos

Senior Data Engineer Lead

Gaithersburg, MD

$114K - $155K/yr

Leidos Digital Modernization sector is seeking an experienced Senior Data Engineer Lead to support ... Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ...

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All JobsSenior Dataops Engineer JobsSenior Dataops Engineer Jobs in Reston, VA

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 18, 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:
What job categories do people searching Senior Dataops Engineer jobs in Reston, VA look for? The top searched job categories for Senior Dataops Engineer jobs in Reston, VA are:
Senior Dataops Engineer jobs near you
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.

Senior Platform Engineer (DataOps)

Black Canyon Consulting

Bethesda, MD • On-site

$111K - $153K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Black Canyon Consulting (BCC) is searching for Senior Platform Engineer (DataOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
This is a great opportunity to work on challenging problems as part of a new DataOps Platform team at NCBI. Developing an enterprise-wide DataOps platform is a new initiative at NCBI. Stepping on decades of experience in dealing with some of industry's most vital data-intensive applications, NCBI approaches solving the problems at enterprise scale using modern technologies such as Kubernetes, GitOps and containerization
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, flexible work schedule and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Duties & Responsibilities
The DataOps Platforms team:
  • Develops and continuously improves DataOps platform.
  • Develops and maintains common tools and libraries.
  • Evaluates new technologies and practices.
  • Helps NCBI developers with adoption of platform.
  • Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
  • Embraces agile development and continuous improvement
  • Encourages growth mindset and offers leadership opportunities at any level

Required Skills:
  • 7+ years of experience is the field
  • Strong coding skills in at least one programing language are required (Python, C++, ...)
  • Kubernetes, containerization
  • Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure or equivalent cloud services
  • Apache Kafka, Google Cloud Pub/Sub or equivalent
  • Apache AirFlow or equivalent
  • Experience with data processing applications and modern cloud-based data processing infrastructure
  • Linux command-line skills

Bonus Skills:
  • Google Anthos
  • Docker
  • GitOps tools: ArgoCD or equivalent
  • Infrastructure as code tools: Terraform or equivalent
  • GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management
  • Modern observability and logging tools: Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor),
  • DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty, Splunk, or equivalent
  • Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent
  • Data transfer tools: AWS DataSync, Aspera, MinIO, CloudSoda or equivalent
  • Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
  • Experience with best-practice design patterns in coding and architecture
  • Experience working in Agile environment
Educational Requirements
  • B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.

Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

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