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Data Engineer Contract Jobs in Colorado (NOW HIRING)

Symhas

GCP DATA ENGINEER

Denver, CO · On-site

$117K - $141K/yr

GCP DATA ENGINEER Contract • Denver, Colorado • On-site / Hybrid Position Type Contract (1099 / C2C) Duration 6-12 Months (with extension potential) Location Denver, Colorado --5 days on-site ...

Ibotta

Data Engineer

Denver, CO

$117K - $141K/yr

You'll work on the data contract and metadata standards that underpin everything the squad builds ... Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site

$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 ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site

$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 ...

Trilyon, Inc.

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

Colorado (Remote with Occasional Onsite - Preferably Denver Metropolitan Area) Duration: 1 Year Contract We are seeking a highly specialized Senior Operations & Data Engineer to serve as the primary ...

Ibotta

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Data Contract and Metadata Standards: Lead the design and rollout of data contract standards that codify table ownership, schema expectations, and quality thresholds; enforce standards through ...

Terumo BCT, Inc.

AI Data Engineer

Lakewood, CO · On-site

$115K - $138K/yr

Work closely with agent and platform engineers to define data contracts between AI systems and downstream services. * Balance completeness, latency, cost, and interpretability when designing data ...

eFulgent

Lead Data Engineer

Englewood, CO · On-site

$101K - $133K/yr

Job Summary (Lead Data Engineer - Englewood, CO) - Lead the design, development, and maintenance of ... Onsite in Englewood, CO; 12-month contract; visa-independent candidates only.

Allegion

Lead Platform Data Engineer

Golden, CO · On-site

Architect cross-application data models and Data Contracts (OpenAPI/AsyncAPI) to standardize ... Platform Engineering & Integration * System Interoperability: Lead the integration of platform ...

Aegon

Senior Data Engineer

Denver, CO · Hybrid

$95K - $115K/yr

Summary The Senior Data Engineer will support creation of the Book of Record by building AWS-based ... This is not a contract of employment nor for any specific job responsibilities. The Company may ...

Lorven technologies

Data Ops Informatica

Denver, CO · On-site

$70 - $80/hr

Denver, CO - Hybrid Duration: 12 Months Contract Senior Operations & Data Engineer (Informatica Specialist); Cloud Engineer Position Objective: The Client seeking a highly specialized Senior ...

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All JobsData Engineer Contract JobsData Engineer Contract Jobs in Colorado

Data Engineer Contract information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do data engineer contract jobs pay per year?

As of Jun 14, 2026, the average yearly pay for data engineer contract in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the most commonly searched types of Data Engineer jobs in Colorado? The most popular types of Data Engineer jobs in Colorado are:
What are popular job titles related to Data Engineer Contract jobs in Colorado? For Data Engineer Contract jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Colorado look for? The top searched job categories for Data Engineer Contract jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Contract jobs? Cities in Colorado with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Colorado as of June 2026, with employment types broken down into 13% Internship, 49% Full Time, and 38% Contract. Highlights an 100% In-person job distribution, with an average salary of $136,399 per year, or $65.6 per hour.

GCP DATA ENGINEER

Symhas

Denver, CO • On-site

$117K - $141K/yr

Other

Posted 4 days ago

Job description

GCP DATA ENGINEER

Contract • Denver, Colorado • On-site / Hybrid

Position Type

Contract (1099 / C2C)

Duration

6–12 Months (with extension potential)

Location

Denver, Colorado —5 days on-site

Start Date

Immediate / ASAP

Industry

Technology / Data Engineering

POSITION OVERVIEW

We are seeking an experienced GCP Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will have deep expertise in Google Cloud Platform services, Java-based pipeline development, and enterprise ETL frameworks. You will design and implement scalable data pipelines, work with large distributed datasets, and collaborate with cross-functional teams to deliver high-quality data solutions.

KEY RESPONSIBILITIES

▸ Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform using Java and cloud-native services

▸ Build and optimize data workflows using GCP tools such as Dataflow (Apache Beam), Dataproc, BigQuery, Cloud Composer (Airflow), and Pub/Sub

▸ Develop Java-based data ingestion and transformation applications to move data across structured and unstructured sources

▸ Collaborate with data architects and analysts to translate business requirements into scalable technical data solutions

▸ Monitor, troubleshoot, and tune pipeline performance, data quality, and reliability in production environments

▸ Implement data governance and security best practices including IAM policies, encryption, and access controls

▸ Work with Cloud Storage, Cloud SQL, Spanner, and Bigtable to manage and persist data assets

▸ Participate in code reviews, technical design discussions, and agile ceremonies

▸ Write technical documentation for pipelines, schemas, and data flows

▸ Support data migration efforts and legacy system integration with modern cloud infrastructure

REQUIRED QUALIFICATIONS

Core GCP Skills

▸ 5+ years of experience in data engineering with at least 3 years on Google Cloud Platform

▸ Hands-on expertise with BigQuery (table design, partitioning, clustering, cost optimization)

▸ Proficiency with Cloud Dataflow (Apache Beam pipelines — batch and streaming)

▸ Experience with Cloud Composer / Apache Airflow for workflow orchestration

▸ Familiarity with Pub/Sub for real-time event streaming and messaging

▸ Working knowledge of Cloud Storage, Dataproc (Spark/Hadoop), and GCP networking basics

Java & ETL

▸ Strong proficiency in Java (8+) for building data pipelines and backend services

▸ Experience designing and building ETL/ELT pipelines at scale (batch and streaming)

▸ Knowledge of SQL and experience writing complex queries for BigQuery or similar warehouses

▸ Familiarity with data transformation patterns: slowly changing dimensions, CDC, data normalization

▸ Experience integrating APIs, JDBC/ODBC connectors, and file-based data sources

General

▸ Solid understanding of distributed systems, data warehousing concepts, and data lake architecture

▸ Proficiency with version control (Git) and CI/CD practices

▸ Excellent problem-solving skills and ability to work independently in a contract environment

▸ Strong communication skills for collaborating with remote and on-site stakeholders

PREFERRED / NICE-TO-HAVE

▸ Google Cloud Professional Data Engineer certification

▸ Experience with dbt (data build tool) for data transformation

▸ Familiarity with Terraform or Deployment Manager for infrastructure-as-code on GCP

▸ Experience with Kafka or other streaming platforms alongside Pub/Sub

▸ Knowledge of Python for scripting and data manipulation tasks

▸ Exposure to data quality frameworks (Great Expectations, Deequ)

▸ Experience with Looker, Data Studio, or other BI tools connected to BigQuery

TECHNICAL SKILLS SUMMARY

Category

Technologies & Tools

Cloud Platform

Google Cloud Platform (GCP)

GCP Services

BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, Cloud Storage, Cloud SQL, Spanner, Bigtable

Programming

Java (primary), SQL, Python (preferred)

ETL / Pipeline

Apache Beam, Apache Spark, Apache Airflow, dbt

DevOps / IaC

Git, CI/CD pipelines, Terraform (preferred)

Data Formats

Avro, Parquet, JSON, CSV, ORC

Methodologies

Agile / Scrum, Data Mesh, Data Lakehouse

ABOUT THE ENGAGEMENT

This is a contract role embedded within an established data engineering team. You will have direct impact on mission-critical data pipelines that serve business intelligence, analytics, and operational systems. The team follows agile practices with two-week sprints, daily standups, and collaborative design sessions. The role is hybrid with approximately three days on-site in Denver, CO.