> Markdown version of [/jobs/ext/2981846-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/2981846-lead-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).

---

# Lead Data Engineer

- **Company:** American Family Insurance
- **Location:** Denver, CO, United States
- **Experience:** Expert
- **Salary:** $131,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Code Reuse, Databases, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Data Stores, Relational Databases, Software Design Patterns, Dimensional Modeling, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Open Source Technology, Standard Sql, Software Engineering, Web Services, Data Logging, Apache Spark, Git, Cloudformation, Scikit Learn, Data Analytics, Terraform, Docker, Jenkins
- **Published:** September 18, 2026
- **Apply:** https://www.builtincolorado.com/job/lead-data-engineer/11144228?handler=ApplyRedirect

## About the Role

* Demonstrated experience providing customer-driven solutions, support or service.
 * Must have GCP experience for this positon.
 * In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)
 * Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.
 * Able to employ design patterns and generalize code to address common use cases.
 * Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries.
 * Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.
 * Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.
 * Solid data understanding and business acumen in the data rich industries like insurance or financial
 * Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).
 * Strong understanding of database internals, such as indexes, binary logging, and transactions.
 * Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)
 * Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).
 * Practical experience authoring and consuming web services.

## Description

* Leads an engineering team to meet project deadlines and priorities.
 * Supervises assigned data engineering team members & activities.
 * Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.
 * Documents critical workflows and operational support aspects of team's responsibilities
 * Develops deep understanding of data sources, granularity, availability, and limitations.
 * Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.
 * Creates maintainable, scalable code to load and manipulate data in the data warehouse.
 * Facilitates communication upward and across project teams and business stakeholders., *Not Applicable.
Travel Requirements
*Up to 10%.
Physical Requirements
*Work that primarily involves sitting/standing.


## Related Videos

- [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)
- [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)
- [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)