Data Engineer

Litera Corporation
Denver, CO, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$140,000.0 - $180,000.0
Working hours
Regular working hours
Job source

Tech stack

Business Analytics Applications Big Data Software as a Service Cloud Database Profiling Continuous Integration Information Engineering Data Infrastructure Data Systems Data Warehousing Python (Programming Language) Object-Oriented Software Development
+10 more
Performance Tuning Software Engineering SQL Databases Usage Analysis Enterprise Data Management Snowflake Git Data Management Software Version Control Data Pipelines

Job description

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.

We’re committed to creating an inclusive environment. If you need accommodations at any point in the process or in the role, we’re here to support you.

Requirements

  • 5+ years of experience designing, building, and operating production-grade data platforms, including scalable data pipelines and cloud data warehouses.
  • 2+ years of production experience using dbt to build scalable, well-tested data warehouse solutions.
  • 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.
  • Solid data engineering and software engineering fundamentals, including data modeling, version control (Git), testing, documentation, and collaboration with cross-functional stakeholders.

Nice-To-Haves:

  • Advanced Snowflake expertise, including performance tuning, query profiling, and warehouse optimization.
  • 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-environment deployments).

Benefits & conditions

  • A team that shows up. Work alongside people who collaborate, support one another, and lead with integrity.
  • Global Reach. Partner with teams around the world to solve complex challenges that matter.
  • Real opportunity for growth. Expand your impact through meaningful stretch opportunities, visibility and career development.
  • AI-driven innovation. Work at the intersection of legal technology, customer outcomes, and cutting-edge AI.

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 plan.

In 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.

LI-Hybrid

Litera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the company

At Litera, we don’t just build software, we transform how the world’s top law firms operate. 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.

Apply for this position

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