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Data Engineer Remote Contract Jobs in Denver, CO

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247098 Location: Aurora,CO,US Share job via: Share Data Engineer, Mid ... as well as contract-specific affordability and organizational requirements. The projected ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$85 - $95/hr

Duration: 6-month contract-to-hire * Location: Hybrid or Remote, however must reside in the ... Act as a technical thought leader, advocating for modern data engineering patterns, tools, and ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$60 - $70/hr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Duration: 6-month contract-to-hire * Location: Hybrid or Remote, however must reside in the ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

We are partnering with a leading enterprise client to hire a Senior Data Engineer for a contract opportunity supporting a large-scale mobile data platform. This role sits within a data architecture ...

Eliassen Group

Data Engineer IV

Greenwood Village, CO · Remote

$65 - $75/hr

Hybrid 3 days onsite / 2 remote in Greenwood Village, CO Our client is seeking a Data Engineer IV for the Infrastructure Intelligence and Analytics team to design, build, and maintain scalable ETL ...

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All JobsData Engineer Contract JobsData Engineer Remote Contract JobsData Engineer Remote Contract Jobs in Denver, CO

Data Engineer Remote Contract information

See Denver, CO salary details

$45.8K

$133.5K

$182.7K

How much do data engineer remote contract jobs pay per year?

As of Aug 27, 2026, the average yearly pay for data engineer remote contract in Denver, CO is $133,514.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,900.00 and $141,500.00 per year, depending on experience, location, and employer.

What is a data engineer remote contract?

A Data Engineer Remote Contract position involves building and maintaining the infrastructure and systems that enable organizations to collect, store, and analyze large amounts of data, all while working remotely. As a contractor, you are typically hired for a specific project or period and are not a permanent employee. This role often includes tasks like designing data pipelines, optimizing database performance, ensuring data quality, and collaborating with data scientists and analysts. Working remotely provides flexibility in location, but contractors are expected to communicate regularly with teams and meet project deadlines.

What are the key skills and qualifications needed to thrive as a data engineer in a remote contract role?

To thrive as a Data Engineer in a remote contract position, you need strong programming skills (such as Python or Java), deep knowledge of database systems, and a background in computer science or a related field. Proficiency with data pipeline tools (like Apache Airflow), cloud platforms (such as AWS or Azure), and ETL processes, along with relevant certifications, is highly valued. Excellent problem-solving abilities, clear communication, and self-motivation are key soft skills, especially when working independently or with distributed teams. These skills ensure the reliable design, development, and maintenance of scalable data systems, which are critical for organizations to leverage data effectively.

What are some common challenges faced by data engineers working remotely on contract assignments?

Data Engineers working remotely on contract assignments often navigate challenges such as aligning with distributed teams across different time zones, ensuring secure access to sensitive data, and maintaining clear communication with stakeholders. Since contractors may work with diverse tech stacks across projects, adapting quickly to new tools and company-specific data infrastructures is essential. Additionally, balancing multiple deliverables and onboarding efficiently without in-person support requires strong self-management and proactive collaboration skills.

What is the difference between Data Engineer Remote Contract vs Data Analyst Remote Contract?

AspectData Engineer Remote ContractData Analyst Remote Contract
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentRemote, collaborative teams, cloud platformsRemote, reporting and visualization tools
Employer & Industry UsageTech, finance, healthcareMarketing, retail, consulting
Common Search & ComparisonYesYes

The main difference between Data Engineer Remote Contract and Data Analyst Remote Contract lies in their focus and skill sets. Data Engineers build and maintain data pipelines and infrastructure, requiring technical skills in cloud platforms and programming. Data Analysts interpret data, create reports, and visualize insights. Both roles are remote and industry-specific, but they serve different functions within organizations.

What are popular job titles related to Data Engineer Remote Contract jobs in Denver, CO?

For Data Engineer Remote Contract jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Data Engineer Remote Contract jobs in Denver, CO look for?

The top searched job categories for Data Engineer Remote Contract jobs in Denver, CO are:

What cities near Denver, CO are hiring for Data Engineer Remote Contract jobs?

Cities near Denver, CO with the most Data Engineer Remote Contract job openings:

Data Engineer Remote Contract jobs near you
Infographic showing various Data Engineer Remote Contract job openings in Denver, CO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,514 per year, or $64.2 per hour.

DATA ENGINEER

Boulder, CO • Remote

Fluid Consulting Services
11 - 50 employees
Learn more about Fluid Consulting Servicesexternal

$130K/yr

Full-time

Re-posted 11 days ago

Job description

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability, and building scalable pipelines.

Key Responsibilities

  • Develop and maintain data ingestion pipelines feeding into BigQuery
  • Replace outdated ETL/ELT processes with modern solutions
  • Set up monitoring, alerting, and workflow visibility
  • Contribute to orchestration design and implementation (Airflow, Dagster, Prefect)
  • Support DBT development and CI/CD practices
  • Tune BigQuery performance and manage access/security controls
  • Maintain documentation, data flow diagrams, and catalogs

Required Experience

  • 3+ years in data engineering
  • Strong SQL skills with BigQuery, Snowflake, or Redshift
  • Hands-on work with orchestration tools
  • Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)
  • Experience with DBT, Docker, CI/CD pipelines
  • Ingestion tooling experience (e.g., Fivetran)
  • Knowledge of data governance or SOC 2 standards

Tech Stack Snapshot

BigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog

Compensation

Starting around $130K OTE, adjusted for experience and location.

Location

U.S. remote (limited state availability).

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