Lead Data Engineer

$90,400 - $151,500/Yr

Af - Group - Kalamazoo, MI

Full-time - Mid Level

Kalamazoo, MI

Religious, Grantmaking, Civic, Professional, and Similar Organizations

About the position

The Lead Data Engineer at AF Group is responsible for constructing data pipelines and tools that facilitate trusted access to data, enabling effective data-driven decisions across the enterprise. This role requires strong analytical skills and a deep understanding of business context to engineer reliable data and analytics solutions. The Lead Data Engineer will design, build, and deploy data solutions that support business intelligence, AI, and ML applications, while also providing technical leadership and mentoring to team members.

Responsibilities

• Design complex data solutions.
• Act as a subject matter expert within the functional area and educate consumers on data solutions.
• Build and operationalize complex, highly trusted, and utilized data solutions.
• Develop unit, functional, integrated, and regression tests to ensure quality.
• Design and develop code, scripts, and data pipelines that leverage structured and unstructured data from multiple sources.
• Develop product deliverable documentation.
• Collaborate with agile team members to meet deadlines.
• Incorporate core architectural, data management, governance, security, and quality practices and standards.
• Mentor, develop, and grow talent.

Requirements

• Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or related field; OR equivalent training with data technology, processes, or solutions.
• 4 years of data engineering or equivalent experience.
• Intermediate knowledge of SQL.
• Intermediate knowledge of relational database systems (Oracle or SQL).
• Intermediate knowledge of ETL tools and processes.
• Strong working knowledge of DevOps fundamentals (build, release, test, monitor).
• Proficient knowledge of BI/Dashboards tools such as PowerBI.
• Strong project management experience.

Nice-to-haves

• Working with data in an insurance environment is preferred.
• Intermediate knowledge of R, Python, and SSRS preferred.
• Intermediate knowledge of Big Data platforms such as Hadoop and DataBricks preferred.
• Familiarity or exposure to Java and .Net preferred.
• Intermediate knowledge of Cloud Data Platforms such as Snowflake preferred.
• Agile experience preferred.

Benefits

• Competitive salary range between $90,400 and $151,500 based on experience and skills.
• Equal Opportunity Employer with a commitment to diversity and inclusion.