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Contract Dataops Engineer Jobs (NOW HIRING)

Senior AI Context Engineer

Atlanta, GA · Hybrid

$134.25K - $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

$134.25K - $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

Grand Rapids, MI · Hybrid

$134.25K - $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

$134.25K - $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

$134.25K - $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

$134.25K - $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

$121.30K - $145.60K/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 Engineering Team Lead (Hybrid) Location - Short Hills, New Jersey Duration: 8+ month contract ... DataOps or other automation frameworks. Preferred: SAFe agile work experience or similar agile ...

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 ...

Data Engineer - Senior

Reston, VA · On-site

$110.30K - $149.80K/yr

Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ... Due to the nature of the government contracts we support, US Citizenship is required. * Proven ...

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

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

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

Data Engineer - Mid

Reston, VA · On-site

$119.10K - $143K/yr

Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time ... Due to the nature of the government contracts we support, US Citizenship is required. * Experience ...

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Contract Dataops Engineer information

See salary details

$38K

$115.9K

$191.5K

How much do contract dataops engineer jobs pay per year?

As of May 31, 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 May 2026, with employment types broken down into 1% Internship, 5% As Needed, 9% Part Time, 1% Temporary, 82% Contract, and 2% Nights. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Senior AI Context Engineer

Kiongroup

Atlanta, GA • Hybrid

$134.25K - $179K/yr

Other

Posted 9 days ago


Job description

We are seeking a highly experienced Semantic Context Data & AI Engineer to help evolve our Enterprise Data Platform into an AI-native, context-aware ecosystem. This role focuses on engineering semantic layers, certified KPI frameworks, metadata systems, and AI-ready data abstractions that enable trusted analytics and reliable AI consumption.
This is a hands-on senior/principal-level engineering role requiring deep expertise in cloud data engineering, semantic modeling, and AI-oriented data platform design. The ideal candidate combines strong technical execution skills with architectural thinking and cross-functional collaboration.We offer:
  • Career Development
  • Competitive Compensation and Benefits
  • Pay Transparency
  • Global Opportunities

Learn More Here:https://www.dematic.com/en-us/about/careers/what-we-offer

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The base pay range for this role is estimated to be $134,250.00 - $179,000.00 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge and skills.

Tasks and Qualifications:

This is What You Will do in This Role:

  • Design and implement enterprise semantic models and certified KPI layers to ensure trusted, reusable business metrics.
  • Build AI-safe data abstraction layers that prevent metric recomputation and ensure consistency across analytics and AI use cases.
  • Develop and enforce data contracts, metadata standards, and semantic governance frameworks across domains.
  • Engineer scalable batch and real-time streaming data pipelines in a modern cloud environment (GCP preferred).
  • Collaborate with AI/ML teams to design reliable grounding strategies for AI applications and agents.
  • Implement metadata management capabilities including cataloging, lineage, observability, and automated data quality checks.
  • Apply DataOps principles including CI/CD, automated testing, and deployment automation for data products.
  • Support domain-oriented and microservices-based data architecture patterns.
  • Mentor engineers and promote best practices in semantic modeling, governance, and AI-ready platform design.

What We are Looking For:

  • 10-15+ years of experience in enterprise-scale cloud data engineering and distributed systems.
  • Strong hands-on experience building modern data platforms in GCP (BigQuery, Dataform, Pub/Sub, Composer/Airflow, Cloud Run).
  • Deep expertise in SQL, Python, and data modeling (dimensional modeling, lakehouse architectures).
  • Experience with open-source tech stack such as Iceberg, Trino, Kubernetes, Docker etc.
  • Hands-on experience with metadata management, lineage tracking, observability, and data quality frameworks.
  • Experience building both batch and real-time streaming data systems.
  • Strong understanding of semantic modeling, business metric governance, and AI consumption patterns.

What Will Set You Apart:

  • Experience with Data Mesh or domain-driven data architecture.
  • Exposure to AI/LLM integration patterns including Retrieval-Augmented Generation (RAG).
  • Supply chain background

Location & Authorization:This is a hybrid role requiring proximity to one of our U.S. offices (Atlanta GA, Grand Rapids MI, Milwaukee WI).Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

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