Job title: Data Engineer Department / Division: Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we’re looking for: We are seeking an experienced Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP). This is a hands‑on, individual contributor role focused on building scalable, reliable data pipelines that power analytics, reporting, and data products across the organization. In this role, you’ll work across the full data lifecycle—from ingestion and transformation to governance and consumption—while partnering closely with supply chain, analytics, and global market teams. The work blends project‑based cloud migration with operational data ingestion support, offering both ownership and variety. What your day-to-day may include: <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Designing, building, and maintaining ETL/ELT data pipelines using Python and SQL</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Migrating legacy on‑premise data warehouses and BI datasets to cloud platforms</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Supporting BI and data warehouse migration initiatives, including large-scale supply chain data</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Responding to and resolving data ingestion tickets from global markets</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Collaborating with analysts, data scientists, and business partners to understand data requirements</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Implementing data quality, monitoring, and reliability practices</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Leveraging modern developer tools, including AI‑assisted coding tools, to improve efficiency</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Contributing to governance activities such as metadata management, tagging, and lineage tracking</li> </ul> This role balances heads‑down engineering work with collaboration and cross‑functional problem solving. Required Qualifications: <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">2+ years of hands‑on experience as a Data Engineer or similar role</li> <li>Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or 5+ years of equivalent experience) </li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Advanced proficiency in SQL, including query optimization and data modeling</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Strong programming experience in Python for data pipelines and automation</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Experience designing and building ETL/ELT pipelines for enterprise data platforms</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Hands‑on experience with at least one cloud platform (GCP preferred; AWS or Azure acceptable)</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Experience with distributed or big‑data processing frameworks (e.g., Spark, Beam, Hadoop)</li> </ul> Skills to Be Successful in the Role: <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Familiarity with Google Cloud Platform services such as BigQuery, Dataflow, or Dataplex.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Experience with modern data warehousing concepts (partitioning, clustering, performance tuning).</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Exposure to orchestration tools (Airflow / Cloud Composer or similar).</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Understanding of streaming or event‑driven data architectures (Pub/Sub, Kafka)</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Knowledge of data governance practices including metadata, lineage, and quality checks.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Experience working in Agile/Scrum environments.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Strong communication skills and ability to collaborate with technical and non‑technical partners.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Comfort navigating ambiguity and learning complex enterprise data ecosystems quickly.</li> </ul> Amway does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Amway immigration sponsorship (e.g., H-1B, STEM OPT, TN, etc.) now or in the future. What’s Special About This Team The Data Engineering team is leading the transformation of our global data platform, moving from fragmented, localized, on‑premise systems to a unified, cloud‑native ecosystem on Google Cloud Platform. Our platform serves as a single source of truth for enterprise data, delivering governed, reliable, and high‑quality datasets that power: <ul style="margin-top:0.0in;margin-bottom:0.0in"> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Operational and executive reporting</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Advanced analytics and data science initiatives</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;Times New Roman', serif">Analytical products used across global markets</li> </ul> The team partners closely with center‑led functional groups (ABO, Customer, Product) and Market Analytics teams worldwide. You’ll join a collaborative group of experienced engineers working on high‑impact modernization efforts, with opportunities to influence platform standards, tooling, and best practices while continuing to grow your technical skills.

Associate Cloud Data Engineer II (Ada, MI, United States, 49355) @ Amway Inc. Alticor Inc.

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