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Contract Dataops Engineer Jobs (NOW HIRING)

Contract Duration: 12-15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced DataOps Engineer to ...

Contract Duration: 12 15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced DataOps Engineer to ...

DataOps Engineer

Montpelier, VT · On-site

$115.80K - $139K/yr

Contract Duration: 12-15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced DataOps Engineer to ...

Contract Duration: 12 15 months (with potential for extension) Work Location: Remote (U.S.-based) Work Hours: Standard business hours Job Overview We are seeking an experienced DataOps Engineer to ...

DataOps Engineer

Melbourne, FL · On-site

$62K - $141K/yr

DataOps Engineer The Opportunity: As a DataOps Engineer, your role will be central in enhancing ... as well as contract-specific affordability and organizational requirements. The projected ...

DataOps Engineer

Mclean, VA · On-site

$62K - $141K/yr

DataOps Engineer The Opportunity: As a DataOps Engineer, your role will be central in enhancing ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Role: DataOps Engineer Location; Hybrid work Dearborn, MI (starting September 1st, will be moving to 4 days a week onsite). Duration: 12 month contract. Additional Information: Hybrid Position ...

Data Engineer

Orlando, FL · On-site

$107K - $128.50K/yr

... data contracts, runbooks, and data catalog metadata in Unity Catalog * Follow DataOps best ... Programming & Languages: * Strong proficiency in Python (PySpark, pandas) and SQL (complex queries ...

Drive data governance. (quality, lineage, security, access, SLAs, data contracts) * Ensure ... Implement DataOps practices. (CI/CD, testing, observability, incident response) * Lead and develop ...

New

AI Engineer in ML Data

San Francisco, CA · On-site

$134.90K - $162K/yr

... contract VMs. We've won a well-known formal verification benchmark called PutnamBench, which ... Familiarity with Azure/AWS/GCP cloud products for MLOps and DataOps pipelines * Proficiency with ...

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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.
DataOps Engineer

DataOps Engineer

Trioptus

Montpelier, VT • On-site

Contractor

Posted 29 days ago


Job description

Job Title: DataOps Engineer

Job Type: Contract

Duration: 12–15 months (with potential for extension)

Work Location: Remote (U.S.-based)

Work Hours: Standard business hours

Job Overview

We are seeking an experienced DataOps Engineer to support a large‑scale healthcare data modernization initiative. This role focuses on building and operationalizing modern data quality, governance, analytics, and performance monitoring capabilities within an enterprise data environment.

The ideal candidate will combine strong technical expertise with the ability to collaborate closely with internal teams through hands‑on delivery, documentation, and knowledge transfer. The engagement emphasizes long‑term sustainability, staff enablement, and repeatable best practices rather than one‑time development.

Key Responsibilities

DataOps & Data Quality

  • Develop and maintain data quality rules, validation frameworks, and monitoring processes
  • Implement statistical process control (SPC) and anomaly detection to ensure data reliability
  • Support incident logging, triage, root‑cause analysis, and continuous improvement efforts

Data Governance & Metadata

  • Define and maintain metadata standards, data glossary entries, and end‑to‑end data lineage
  • Establish governance procedures, SOPs, and disclosure/suppression rules
  • Translate downstream analytics and governance requirements into clear upstream data specifications

Analytics & Business Intelligence

  • Design and support governed semantic data models
  • Assist with the development and validation of standardized dashboards and reports
  • Ensure data accuracy, refresh reliability, and compliance with governance standards

Platforms & Tools

  • Work within platforms such as Azure DevOps, cloud‑based data lakes, and BI tools
  • Maintain operational dashboards, KPIs, and performance metrics
  • Support agile workflows, documentation repositories, and collaboration tools

Enablement & Collaboration

  • Partner with internal teams through hands‑on co‑development sessions
  • Create and maintain Wikis, runbooks, and playbooks for long‑term ownership
  • Deliver role‑based training and support organizational readiness initiatives

Required Qualifications

  • Proven experience as a DataOps Engineer, Data Engineer, Analytics Engineer, or similar role
  • Strong background in data quality engineering, governance, and analytics enablement
  • Experience with:
    • Azure DevOps or similar workflow tools
    • Business intelligence platforms (e.g., Power BI or equivalent)
    • Cloud data platforms (Azure, AWS, or similar)
  • Experience working in Agile or iterative delivery environments
  • Strong documentation, communication, and stakeholder collaboration skills
  • Ability to work independently in a remote environment

Preferred Qualifications

  • Certifications such as:
    • Azure Data Engineer
    • Power BI Data Analyst
    • Databricks Data Engineer
    • Data Governance or Data Management certifications
  • Experience in healthcare, public sector, or highly regulated data environments
  • Familiarity with change management and operational enablement practices
     

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