Senior Data Engineer

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** Why this Role Matters
** We’re looking for a Senior Data Engineer to help design, build, and operate a scalable analytics data platform that supports key business domains. This role focuses on developing high‐quality data pipelines, a trusted Snowflake data warehouse, and well‐modeled datasets that power analytics and decision‐making across the organization.

You’ll work closely with analytics, engineering, and business stakeholders while owning data solutions end‐to‐end — from design through production.
** What You’ll Deliver
*** 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.
* Apply strong software engineering practices to data work, including version control, testing, and CI/CD.
* Integrate data from third‐party SaaS platforms such as CRM, product analytics, and finance systems.
* Produce clear technical documentation, including pipeline designs and data flow diagrams.
* Take end‐to‐end ownership of data solutions, ensuring quality, performance, and long‐term maintainability.

At Litera, we don’t just build software, we transform how the world’s top law firms operate. Every day, we Raise The Bar(TM) 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.
** Where You’ll Work
**** Hybrid:
** This is a hybrid role based in Denver, Colorado with the expectations to be in office at least 3 days a week for collaboration and connection.
5+ years of experience designing, building, and operating production2+ years of production experience using
** dbt
* * to build scalable, well experience with
** Snowflake** (or similar cloud data warehouses) in a production analytics environment.

Strong proficiency in
** Python** (or another object

Experience with dimensional and enterprise data modeling methodologies (e.g., Kimball, Inmon). Experience owning analytics solutions for business domains such as Finance, Sales, or Marketing. Advanced Python experience and/or multiple production dbt implementations with mature practices (testing, CI/CD, multi
** What You’ll Experience**
* *** Team.
*** A culture where people show up for each other and do the right thing
* *** Reach.
*** A truly global team solving complex, meaningful problems
* *** Opportunity.
*** Real growth opportunities, not just talk about them
* *** Technology.
*** Work at the intersection of legal expertise and cutting-edge AI
* *** Impact.
*** The chance to make an impact at scale, not just contribute
** Pay Transparency for Colorado Applicants
** The base salary range for this role is $140,000 to $180,000. Final compensation will be determined based on experience, skills, education, and other relevant qualifications. This role is also eligible to participate in a company bonus  addition to base salary, Litera offers a comprehensive benefits package, including medical, dental, and vision coverage, a 401(k) with company match, and incentive and recognition programs.

Benefits are subject to eligibility requirements.

Litera is a fast-growing software company and one of the leading legal technology suppliers in the world. Serving more than 90% of the world's largest law firms, our software is used by hundreds of thousands of lawyers every day. As a company recognized as one of the best places to work, we believe professional development, rewards programs, open communication, and transparent leadership all contribute to a unique and open work environment.

Our employees are driven, energetic, passionate, and have the ability to make a direct impact on the future of the company.
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