Data Engineer - ANA

About the role

We’re looking for a Data Engineer who gets excited about turning raw data across multiple sources into clean, trusted, analytics-ready data assets. In joining the Amway North America (ANA) Data & Analytics crew — the team that helps transform business questions into reliable insights, dashboards, models, and decision support, you’ll serve as the functional data engineering partner who helps make sure the right data is in the right place, with the right structure, quality, and business meaning for the people who depend on it. If analysts and business partners are building the “aha!” moments, you’re helping build the launchpad. You’ll partner with Technology, Analytics, Data Science, and business stakeholders to design, validate, document, and maintain data flows that connect enterprise and market-specific sources to the ANA analytics data layer. You’ll improve data accessibility, lineage, governance, scalability, and quality so teams can move faster, trust what they’re using, and spend more time answering questions like what changed, why it matters, and where we go next.

Responsibilities

• Monitor and maintain data pipelines to ensure accurate, reliable, and high-quality data.
• Investigate and resolve data quality issues, system failures, and data synchronization challenges.
• Partner with analysts and technical teams to productionize and scale data solutions.
• Review, optimize, and maintain code to support performance, scalability, and cost efficiency.
• Manage version control processes and evaluate the impact of data and code changes before deployment.
• Help define and uphold data governance standards and engineering best practices.
• Transform complex, raw data into trusted datasets that enable business insights.

Qualifications

• Minimum 3 - 5 years’ experience with database management or data operations
• Experience with data engineering or a related field
• Demonstrated experience translating business and technical requirements into data structures, data flows, or reusable analytics-ready datasets
• BA/BS degree in Computer Science, Information Technology, Data Analytics, Statistics, Business, or a related field

Skills

• Strong working knowledge of SQL, relational data structures, data modeling concepts, data validation, and business intelligence data needs
• Experience cleansing, standardizing, transforming, and structuring data into governed, reusable data assets for analytics
• Ability to collaborate with Technology partners on ingestion, raw data layers, source-system availability, access patterns, and scalable data solutions
• Understanding of data governance, data quality controls, lineage, documentation, access standards, and repeatable processes that support trusted enterprise use
• Consultative mindset to clarify requirements, challenge assumptions, and translate business questions into fit-for-purpose data products that analysts and stakeholders can use consistently

Pay

Salary range: $96,081 - $106,195 + Bonus. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications, and specific office location. Internal candidate offers are subject to the guidelines in the U.S. Pay Policies. Pay ranges may differ in other locations due to cost of labor considerations.

Schedule

Ada, MI (M-Th in Office, WFH Fri)