Lead Data Engineer

• 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.

• 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.

Be an Early Applicant In-Office Denver, CO, USA 131K-220K Annually Entry level In-Office Denver, CO, USA 131K-220K Annually Entry level Leads a data engineering team that builds scalable big data applications and ETL workflows. Oversees data quality, security, privacy, architecture, documentation, and operational efficiency. Develops reusable Python and SQL code for data warehouses, distributed processing, cloud platforms, and data-driven solutions. Collaborates with application architects, development teams, project teams, and business stakeholders while supervising team activities and meeting project priorities. The summary above was generated by AI This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization.

Position Compensation Range: $131,000.00 - $220,000.00

Pay Rate Type: Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates., * Offer to selected candidate will be made contingent on the results of applicable background checks

• Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
• Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.