> Markdown version of [/jobs/ext/672779-data-engineer](https://www.wearedevelopers.com/jobs/ext/672779-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer

- **Company:** Litera Corporation
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** 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, Performance Tuning, Software Engineering, SQL Databases, Usage Analysis, Enterprise Data Management, Snowflake, Git, Data Management, Software Version Control, Data Pipelines
- **Published:** June 27, 2026
- **Apply:** https://www.dice.com/job-detail/07cdc6c4-efb1-499b-aad1-e81693c5765e

## About the Role

* 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).

## 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.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94)
- [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire)
- [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)

## Related Articles

- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)