Data Engineer

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan, that offers strategic talent solutions to clients worldwide. They are seeking a Data Engineer to build and maintain scalable data pipelines and analytics solutions across cloud and Microsoft platforms, focusing on designing ELT/ETL processes and delivering dashboards and applications.

Responsibilities:

• Architect and build Power Apps (canvas and model-driven) for business workflows
• Design and delivery of Power BI solutions
• Build and optimize advanced SQL queries, stored procedures, and BigQuery performance tuning (partitioning, clustering, query cost optimization)
• Design, implement, and maintain scalable ETL/ELT pipelines using BigQuery, Microsoft Fabric dataflows, and other tooling
• Integrate with external and internal APIs (REST, OAuth, rate-limiting handling), transform and load data into BigQuery and Fabric OneLake
• Develop reusable data models and curated datasets for analytics and reporting
• Use R and/or Python for data processing, statistical analysis, and building reproducible data workflows
• Collaborate with data scientists, analysts, and product owners to translate business requirements into technical solutions
• Proactively anticipate future data and reporting needs, propose practical improvements, and lead their implementation to keep analytics and apps scalable and business-ready
• Thrives in fast-paced environments, managing multiple concurrent projects with strong prioritization, clear communication, and disciplined execution

Requirements:

• Power Apps (canvas & model driven) 2 years
• Power BI (end to end, DAX, tuning) 3+ years
• Advanced SQL, stored procedures, BigQuery tuning (partitioning/clustering) 4+ years
• ETL/ELT (BigQuery, Fabric dataflows) 2+ years
• API integrations (REST/OAuth, rate limit/retries) 2+ years
• reusable data models/curated datasets 3+ years
• R/Python for data workflows 2+ years
• Proven ability to translate requirements, lead scalable analytics improvements, and manage multiple projects with clear communication and strong prioritization