Data Engineer with Databricks, SQL

TekWissen • Overland Park, KS

1d • Hybrid

About The Position

Our team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro. We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.

Requirements

• 2-4 years of data engineering experience
• Experience designing & building data pipelines and data lakes in a cloud environment
• Experience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into action
• Comfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipeline
• Experience managing stakeholder expectations across technical & business teams
• Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)

Nice To Haves

• Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)
• Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)
• Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)
• Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)
• Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)
• Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)
• Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)

Responsibilities

• Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale
• Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting
• Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture
• Engage business teams to understand their problem space and coordinate technical changes end-to-end
• Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes
• Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast
• Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability
• Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead

What This Job Offers

• Career Level: Mid Level