American Family Mutual Insurance Company Looking for Data Engineering Manager at Madison, WI  / Seattle, WA  / Boston, MA  Full Time

Responsible for data engineering strategy, standards and practices to ensure consistent high-quality data solution delivery across product center of excellences and shared services at the enterprise level. Leads the enterprise data engineering center of excellence discipline to establish patterns on cutting edge technologies to evolve data and analytical capabilities. Aligns the data engineering execution roadmap with enterprise data initiatives.

Job Summary

Accountable for the translation and execution of the data strategy as the data engineering center of excellence for data ingestion and transformation, data integration and management, business analytics and other business intelligence solutions that support the company in improving its data driven decision making capabilities. Leads the development of data architecture to support the launch of cutting-edge products in tandem with product managers, data scientists, engineers and Business/IT leaders across the organization.

Compensation Minimum:

Compensation Maximum:

Compensation may vary based on the job level and your geographic work location.

Job Level Summary

• Manages professional employees and/or supervisors.
• Has accountability for the performance and results of a team within own area of specialty.
• Adapts departmental plans and priorities to address resource and operational challenges.
• Decisions and problem solving are guided by policies, procedures and department plan; receives guidance from manager.
• Provides technical guidance to employees, colleagues and/or customers.

Primary Accountabilities

• Lead architectural planning, design, development, deployment, and management of analytical environments capable of ingesting, processing, and analyzing large, diverse data sets containing structured and unstructured elements.
• Leads the facilitation, ingestion, transformation, and processing of data.
• Establishes and federates the standards and processes for the effective governance, quality, integrity, and timeliness of all data accessed, ingested and exported within the infrastructural systems.
• Accountable for the definition and planning of analytical projects to solve complex business problems as the key technical resource in the areas of data processing and scalable analytical and computational platforms.
• Maximize the predictability, efficiency, effectiveness, and maintainability of data science-related infrastructure elements with a focus on analytical compute environments.
• Develop and manage the processes, controls, and technical solutions necessary for an effective data engineering function.
• Collaborate with Data Science, Business Intelligence, Business and Technology teams to define success metrics and develop/refine the roadmap.
• Develop means for automating data- and analytics-related systems and processes, as appropriate, to support data science activities.
• Leads the development of policies, standards, and guidelines that direct the selection, development, implementation, and use of technologies within the unit.

Education and Licenses

• Bachelor’s degree in computer science or related field, or equivalent combination of education and experience.

Specialized Knowledge & Skills Requirements

• Demonstrated experience providing customer-driven solutions, support or service.
• 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.
• Applied knowledge of cloud computing (AWS, GCP, Azure).
• 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.

Travel Requirements

• This position requires travel up to 10% of the time.

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.