1

Contract Dataops Engineer Jobs (NOW HIRING)

Data Engineer

Quantico, VA · On-site

$123K - $148K/yr

Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with ... TS/SCI clearance required at contract start Preferred Qualifications: * Experience supporting ...

Cloud Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader ... Should you be awarded this contract, the state agency will provide the contractor information ...

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Senior AI Context Engineer

Atlanta, GA · On-site

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Senior AI Context Engineer

Wauwatosa, WI · Hybrid

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Experience in applying DataOps principles and implementing CI/CD and DevOps practices within data ...

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134K - $179K/yr

Develop and enforce data contracts, metadata standards, and semantic governance frameworks across ... Apply DataOps principles including CI/CD, automated testing, and deployment automation for data ...

Data Engineer

Quantico, VA · On-site

$121K - $145K/yr

Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines * Familiarity with ... TS/SCI clearance required at contract start Preferred Qualifications: * Experience supporting ...

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Denver, CO - Hybrid Duration: 12 Months Contract Senior Operations & Data Engineer (Informatica ... Implement and manage DataOps and CI/CD pipelines to automate deployments for the broader ...

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... modern DataOps practices. Technical Skills * Expert Data Modeling: Proficiency in designing ...

next page

Showing results 1-20

Contract Dataops Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do contract dataops engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for contract dataops engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Contract Dataops Engineer vs Data Engineer?

AspectContract Dataops EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, Azure), experience with cloud platformsSimilar certifications, strong SQL and programming skills
Work EnvironmentProject-based, contract roles, often in cloud or data pipeline projectsFull-time or contract, in data infrastructure teams
Industry UsageUsed across tech, finance, healthcare for data pipeline managementCommon in tech, finance, retail for building data systems
Comparison FocusFocuses on deployment, automation, and operational aspects of data pipelinesFocuses on data modeling, storage, and processing

The Contract Dataops Engineer primarily handles deployment, automation, and operational tasks for data pipelines, often in a contract setting. In contrast, Data Engineers focus on designing and building data infrastructure. Both roles require similar technical skills and certifications but differ in scope and project type.

More about Contract Dataops Engineer jobs
What cities are hiring for Contract Dataops Engineer jobs? Cities with the most Contract Dataops Engineer job openings:
What are the most commonly searched types of Dataops Engineer jobs? The most popular types of Dataops Engineer jobs are:
What states have the most Contract Dataops Engineer jobs? States with the most job openings for Contract Dataops Engineer jobs include:
Infographic showing various Contract Dataops Engineer job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 94% Full Time, 2% Part Time, and 2% Temporary. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.
Data Engineer

Data Engineer

RIVIDIUM

Quantico, VA • On-site

$123K - $148K/yr

Full-time

Posted 4 days ago


Job description

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines for structured and unstructured data
  • Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based solutions
  • Build and maintain data warehouse environments and support data modeling efforts
  • Ensure data quality, integrity, security, and compliance across all data systems
  • Collaborate with data scientists, data architects, and stakeholders to deliver data solutions
  • Support and operationalize machine learning models and analytics workflows
  • Develop and maintain APIs for data access and integration
  • Monitor and troubleshoot data infrastructure to ensure performance and reliability
  • Implement automation using metadata management and modern data engineering practices
  • Provide ad hoc data analysis and support self-service data access for stakeholders
  • Design and maintain reporting and dashboarding infrastructure
  • Promote best practices in data engineering, governance, and data lifecycle management
  • Support data tagging, metadata management, and enterprise data governance initiatives
  • Assist in developing data-related policies, documentation, and system requirements
  • Research and recommend improvements to modernize data architecture, including cloud adoption

Minimum Qualifications:

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Information Systems, or a related quantitative field
    • Equivalent work experience may be considered in lieu of a degree
  • Minimum of ten (10) years of IT experience, including at least six (6) years in data engineering or related disciplines
  • Strong experience designing and optimizing data pipelines and architectures
  • Expertise in ETL/ELT processes, data integration, and data warehousing concepts
  • Proficiency in SQL and programming languages such as Python, Java, R, or Scala
  • Experience working with large, complex, and heterogeneous datasets
  • Strong understanding of data modeling, schema design, and metadata management
  • Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments
  • Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines
  • Familiarity with message queuing, stream processing, and real-time data integration technologies
  • Strong analytical, problem-solving, and communication skills

Core Competencies:

  • Ability to design and optimize scalable, high-performance data systems
  • Strong collaboration skills across technical and business teams
  • Expertise in data governance, data quality, and data security practices
  • Ability to translate business requirements into technical data solutions
  • Adaptability in working with evolving technologies and complex environments

Clearance Requirement:

  • TS/SCI clearance required at contract start

Preferred Qualifications:

  • Experience supporting Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments
  • Familiarity with federal data governance and compliance requirements
  • Experience with data visualization tools such as Tableau, Power BI, or Qlik
  • Cloud certifications (AWS, Azure, or GCP)
  • Experience with NoSQL, Hadoop, or big data ecosystems
  • Experience collaborating with data science teams to operationalize machine learning models