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Data Engineer C2C Jobs in Colorado (NOW HIRING)

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 ...

W2 Contract (C2C is not available) Duration: 6 months, potential extension Benefits: Dental, Health ... In this role, you will partner with engineering, operations, and leadership teams to deliver ...

Systems Engineer

Colorado Springs, CO · On-site

$80K - $115K/yr

Interface and data architectures * Maintenance, sustainment, and update to existing documentation ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Systems Engineer

Colorado Springs, CO · Hybrid

$80K - $115K/yr

Interface and data architectures * Maintenance, sustainment, and update to existing documentation ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

Systems Engineer

Colorado Springs, CO · Hybrid

$80K - $115K/yr

Interface and data architectures * Maintenance, sustainment, and update to existing documentation ... We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this ...

NodeJS Developer

Greenwood Village, CO · On-site

$50.50 - $65.50/hr

W2 candidates Only No C2C/Third Party Vendors As a Node.js Software Developer IV for the ... data relationships. * Stay abreast of the latest trends in software development, network ...

Not eligible for C2C. * Pay Rate: $85-$95/hr * Duration: 6-month contract-to-hire * Location ... Incorporate AI capabilities and real-time data streaming into the platform. * Work within Azure ...

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Data Engineer C2C information

What is a Data Engineer C2C job?

A Data Engineer C2C (Corp-to-Corp) job refers to a contract position where a data engineer is hired through a third-party consulting firm or their own incorporated business. In this arrangement, the engineer provides services to a client company on a contractual basis, rather than being a direct employee. Data engineers in C2C roles focus on designing, building, and optimizing data pipelines, databases, and big data solutions. These roles often require expertise in SQL, Python, ETL tools, cloud platforms, and data modeling. C2C jobs are common in IT staffing, offering flexibility but requiring independent tax management and business structuring.

What does a typical workday look like for a Data Engineer C2C, and how does the contract-to-contract structure affect day-to-day responsibilities?

As a Data Engineer C2C, your typical workday involves designing, building, and optimizing data pipelines, collaborating with data scientists and analysts, and ensuring data quality and integrity. Since C2C refers to a contract-based engagement, you may work on multiple short- or long-term projects with different clients, requiring adaptability and strong project management skills. You’ll often attend virtual meetings, troubleshoot data issues, and deliver solutions on tight timelines. The contract structure allows for diverse experience and the opportunity to expand your professional network, but it also means staying proactive about seeking new projects and continuously updating your technical skills.

What are the key skills and qualifications needed to thrive in the Data Engineer C2C position, and why are they important?

To thrive as a Data Engineer C2C, you need strong skills in data modeling, ETL processes, database architecture, and proficiency in languages such as SQL, Python, or Scala, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud data services (e.g., AWS, Google Cloud, Azure), and certifications like AWS Certified Data Analytics are highly beneficial. Excellent problem-solving, teamwork, and communication skills set standout candidates apart, enabling effective cross-functional collaboration. These skills are crucial for designing reliable data pipelines, ensuring data quality, and supporting the decision-making needs of organizations in a contract-to-contract (C2C) work environment.

What are the most commonly searched types of Data Engineer C2C jobs in Colorado? The most popular types of Data Engineer C2C jobs in Colorado are:
What are popular job titles related to Data Engineer C2C jobs in Colorado? For Data Engineer C2C jobs in Colorado, the most frequently searched job titles are:

GCP DATA ENGINEER

Symhas

Denver, CO • On-site

$117K - $141K/yr

Other

Re-posted 3 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.