3 months ago
Base Salary
$140k - $180k/yr
Responsibilities
- Design, build, and maintain production-grade data pipelines and ELT workflows at scale.
- Develop and own a Snowflake-based data warehouse using dbt models, tests, documentation, and incremental strategies.
- Translate stakeholder requirements into reliable, well-modeled datasets for analytics and decision-making.
- Write and optimize complex SQL for large analytical datasets.
- Apply software engineering practices including version control, testing, and CI/CD to data engineering work.
- Integrate data from third-party SaaS platforms such as CRM, product analytics, and finance systems.
- Produce technical documentation including pipeline designs and data flow diagrams.
- Own data solutions end to end, ensuring quality, performance, and long-term maintainability.
Requirements
- At least 5 years of experience designing, building, and operating production-grade data platforms, scalable data pipelines, and cloud data warehouses.
- At least 2 years of production experience using dbt for scalable, well-tested data warehouse solutions.
- Strong SQL expertise, including complex analytical queries, performance optimization, and work with large datasets.
- Hands-on production experience with Snowflake or similar cloud data warehouses in an analytics environment.
- Strong proficiency in Python or another object-oriented language applied to data engineering, including maintainable and tested code.
- Solid data and software engineering fundamentals, including data modeling, version control with Git, testing, documentation, and cross-functional collaboration.
- Advanced Snowflake performance tuning, query profiling, and warehouse optimization experience is preferred.
- Experience with dimensional and enterprise data modeling methodologies such as Kimball or Inmon is preferred.
- Experience owning analytics solutions for Finance, Sales, or Marketing domains is preferred.
- Advanced Python experience or multiple mature production dbt implementations with testing, CI/CD, and multi-environment deployments is preferred.
Benefits
- Hybrid work arrangement in Denver, Colorado, with at least 3 days per week in the office.
- Base salary range of $140,000 to $180,000 for Colorado applicants.
- Eligibility to participate in a company bonus plan.
- Medical, dental, and vision coverage.
- 401(k) with company match.
- Incentive and recognition programs.
- Career development and meaningful stretch opportunities.
- Inclusive workplace with accommodation support during the hiring process and employment.
About Litera
Litera builds legal software and AI tools for law firms and corporate legal teams, spanning document drafting and comparison, contract review, knowledge management, and legal workflow. Its portfolio integrates with Microsoft 365 and Google Workspace and is sold as enterprise software subscriptions. Headquartered in Chicago and privately held, the company serves firms globally, including many Am Law 100 practices.