2

Data Engineer Remote Contract Jobs in Colorado (NOW HIRING)

Senior Data Platform Engineer

Littleton, CO ยท Remote

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team ... This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ...

Senior Software Engineer I

Denver, CO ยท On-site +1

$189K - $200K/yr

The Role: As our Senior Data Engineer focusing on data engineering, you will play a crucial role ... This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we ...

Senior Java Software Engineer

Louisville, CO ยท Remote

$140K - $152K/yr

Remote Senior Java Software Engineer Remote - USA candidates only - No visa sponsorship | No third ... Maintain a deep understanding of software subsystems, their components, interfaces, and data ...

Contracts Manager

Denver, CO ยท On-site +1

$99K - $135K/yr

... engineering services for the space industry. Headquartered in Durango, Colorado, with expanding ... Agile Space Industries is seeking an experienced remote Contracts Manager to oversee the full ...

Process Automation Developer

Denver, CO ยท Remote

$80 - $82/hr

Genesis10 is currently seeking an Process Automation Developer for a remote contract position with a Large Energy Company located in Denver, CO. This is a 12+ month contract opportunity. Pay range ...

New

next page

Showing results 1-20

Data Engineer Remote Contract information

What is a Data Engineer Remote Contract position?

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, and why are they important?

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 the most commonly searched types of Data Engineer Remote jobs in Colorado? The most popular types of Data Engineer Remote jobs in Colorado are:
What are popular job titles related to Data Engineer Remote Contract jobs in Colorado? For Data Engineer Remote Contract jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Remote Contract jobs in Colorado look for? The top searched job categories for Data Engineer Remote Contract jobs in Colorado are:
What cities in Colorado are hiring for Data Engineer Remote Contract jobs? Cities in Colorado with the most Data Engineer Remote Contract job openings:
Infographic showing various Data Engineer Remote Contract job openings in Colorado as of June 2026, with employment types broken down into 95% Full Time, 1% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Senior Data Platform Engineer

Senior Data Platform Engineer

UDR Inc

Littleton, CO โ€ข Remote

$130K - $170K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago


Job description

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team.

**This is a remote based position.**

GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDRโ€™s enterprise data platform in Snowflake, implementing scalable and reliable data solutions that serve operational, analytical, and AI use cases. Develop data pipelines using medallion architecture, create reusable data products, and implement best practices for data transformation, quality, and governance. Partner with cross-functional teams including business stakeholders, IT leadership, and the Snowflake Administrator to deliver data solutions that drive business value and enable self-service analytics across the organization.

SUPERVISION RECEIVED: Reports to the Director โ€“ IT Solution Delivery

SUPERVISION EXERCISED: N/A

ESSENTIAL FUNCTIONS:

1. Design and implement UDRโ€™s enterprise data platform in Snowflake, replacing on-premises SQL systems and decentralized data silos with a unified, governed data environment using medallion architecture (Bronze/Silver/Gold layers).

2. Build and maintain scalable data pipelines from source systems through transformation to analytical and operational targets, ensuring data quality, consistency, and reusability.

3. Develop well-defined, tested, documented, and code-reviewed datasets optimized for diverse business use cases including operational queries, business intelligence, self-service analytics, and AI/ML applications.

4. Create dimensional models, data architectures, and semantic layers using Snowflake Cortex to support analytics initiatives and enable consistent business logic and metrics across applications.

5. Design and maintain integration patterns between Snowflake and Power BI, optimizing for DirectQuery and Import modes to balance performance and user experience.

6. Implement data orchestration workflows using Apache Airflow to automate ingestion, transformation, scheduling, and quality validation processes.

7. Establish data quality testing frameworks and governance controls including validation rules, error-handling, monitoring, and data lineage documentation to maintain data integrity and support self-service analytics.

8. Prepare feature stores and training datasets for AI and machine learning applications, ensuring data is structured and documented for model development.

9. Troubleshoot and resolve production issues related to data platform performance, pipeline reliability, and data quality.

10. Integrate data from vendor systems and external sources using Snowflake ingestion methods including APIs, file-based loads, and data sharing.

11. Partner with the Snowflake Administrator on platform optimization, security, resource management, and cost efficiency, and collaborate with business stakeholders to translate analytics requirements into scalable data solutions.

12. Contribute to engineering design sessions, code reviews, and the development of best practices for platform configuration, observability, testing, and operational readiness.

13. Evaluate and adopt new technologies and tools that improve data platform capabilities and operational efficiency.

14. Perform other duties as assigned or as necessary.

EDUCATION AND EXPERIENCE:

1. Bachelorโ€™s degree in computer science, data science, data engineering, software engineering, information systems, or related field; or equivalent combination of education and experience required.

2. Minimum of five to seven years of experience in data engineering, analytics engineering, or similar role with demonstrated experience building enterprise data platforms.

3. Snowflake experience required. SnowPro Core Certification preferred.

4. Proven experience implementing data warehouses or data lakes in cloud environments.

5. Track record of building data pipelines that serve multiple consumption patterns including analytics, operations, and AI/ML applications.

6. Experience with dimensional modeling, ETL/ELT development, and data transformation at scale.

7. Experience with Snowflake Cortex for semantic layer development preferred.

8. Proficiency integrating Snowflake with Power BI including DirectQuery and Import mode optimization preferred.

9. Experience building feature stores or preparing datasets for machine learning applications preferred.

10. Knowledge of CI/CD practices for data pipelines and automated testing frameworks preferred.

11. Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing preferred.

Benefits Offered:

  • Medical, Dental, Vision Plans
  • Medical Flexible Spending Account
  • Dependent Care Spending Account
  • Lifestyle Spending Account
  • Supplemental Term Life Insurance
  • Critical Illness Plan
  • Supplemental Short-Term Disability Insurance / AD&D Insurance
  • Voluntary Long Term Care Insurance
  • 401(k) Plan with company match

Salary Range:
โ€ข $130,000.00/yr. โ€“ $170,000.00/yr., depends on experience

Bonus Potential:
โ€ข Eligible for 10% annual bonus potential, based on personal and company performance

Anticipated Close Date: June 30, 2026

UDR is proud to provide 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.

UDR is committed to providing and maintaining a diverse workforce and an inclusive work environment with equitable access and opportunity for associates to participate, grow, and reach their full potential.