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10800 E Geddes Ave
Suite 200
Englewood, CO 80112, USA

Compensation

$130-160k

Key Responsibilities

• Lead the design, development, and maintenance of scalable data models and transformation workflows using dbt.
• Manage and mentor a distributed team of 7–8 data engineers and analysts.
• Oversee development and performance tuning of databases and data warehouses, ensuring efficiency and reliability.
• Collaborate closely with the Director – Servicing Analytics and cross-functional stakeholders to align data infrastructure with business goals.
• Ensure data accuracy, integrity, and governance across the servicing technology domain.
• Establish and enforce standards for data modeling, documentation, testing, and version control.
• Guide the team in implementing best practices for ELT pipelines and cloud-based data solutions.
• Support data integration and migration efforts between systems and platforms.
• Monitor system performance and proactively implement improvements to enhance scalability and reduce latency.
• Ensure programs to notify downstream users are in place and tested, proactively alerting end users of any issues or impacts.

Qualifications

• Bachelor’s or Master’s degree in computer science, Data Engineering, Information Systems, or a related field. Years of experience can be considered a replacement for an advanced degree.
• 5+ years of experience in data management or engineering roles, including team leadership.
• Proven experience managing a distributed team, including offshore resources.
• Hands‑on expertise with dbt and modern data transformation workflows.
• Strong proficiency in SQL and experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Deep understanding of data architecture, data modeling, and ETL pipelines. Preference for experience with dbt.
• Familiarity with version control tools like Git and workflow orchestration tools.
• Excellent organizational, communication, and people‑management skills.
• Experience with cloud platforms (AWS, GCP, or Azure). Preference for Azure experience.
• Familiarity with data governance, compliance standards, and security best practices.
• Knowledge of data cataloging and metadata management tools.

Benefits

• Competitive salary
• Medical, Dental, Vision
• Accidental Death
• Long‑Term Disability, Short‑Term Disability
• FSA, HSA
• 401K
• Basic Life, Voluntary Life
• Paid Parental Leave
• Performance‑based bonus based on position and department

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

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