Senior Data Science Engineer Jobs in Colorado

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’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 – IT Solution Delivery

SUPERVISION EXERCISED: N/A

ESSENTIAL FUNCTIONS:

1. Design and implement UDR’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. Bachelor’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:

• $130,000.00/yr. – $170,000.00/yr., depends on experience

Bonus Potential:

• 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.

Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.