Litera

Litera

Senior Data Engineer

Denver, CO · Senior

Sponsorship not specified$140k-$180kDetected 29 days ago
PythonGitSQLSnowflakeCI/CDdbtData EngineeringCRMCollaboration

About the role

  • Job Description Ready to Help Shape the Future of Legal Tech?!
  • Every day, we Raise The Bar™️ for what's possible through AI, innovation, and solutions that power millions of legal professionals worldwide.
  • If you're energized by scale, real impact, and meaningful challenges, you'll feel right at home here.

Responsibilities

  • Design, build, and maintain production‑grade data pipelines and ELT workflows at scale.
  • Develop and own a Snowflake‑based data warehouse using dbt best practices (models, tests, documentation, incremental strategies).
  • Partner with analytics and business stakeholders to translate requirements into well‑modeled, reliable datasets.
  • Write and optimize complex SQL for large analytical datasets, ensuring performance and accuracy.
  • Produce clear technical documentation, including pipeline designs and data flow diagrams.
  • Work alongside people who collaborate, support one another, and lead with integrity.
  • Partner with teams around the world to solve complex challenges that matter.

Requirements

  • 5+ years of experience designing, building, and operating production‑grade data platforms, including scalable data pipelines and cloud data warehouses.
  • Strong SQL expertise, including complex analytical queries, performance optimization, and working with large datasets.
  • Hands‑on experience with Snowflake (or similar cloud data warehouses) in a production analytics environment.
  • Strong proficiency in Python (or another object‑oriented language) applied to data engineering, including writing maintainable, tested code.
  • Experience with dimensional and enterprise data modeling methodologies (e.g., Kimball, Inmon).

Compensation

  • The base salary range for this role is $140,000 to $180,000.

Equal opportunity

  • equal opportunity employer.

This listing is sourced directly from Litera's careers page and normalized into a canonical job model.