Data Engineer with Databricks, SQL
Tekwissen
Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer with Databricks, SQL Location: Bellevue, WA Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid Job Description ABOUT THE ROLE
Experience
Position: Data Engineer with Databricks, SQL Location: Bellevue, WA Duration: 6 Months Job Type: Temporary Assignment Work Type: Hybrid Job Description ABOUT THE ROLE
- 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.
- 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
Experience
- 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)
- 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)
- Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystem
- Product owner mindset: end-to-end accountability for what you build, not just the ticket in front of you
- Clear communicator: you can explain technical tradeoffs to non-technical partners without losing the substance
- Bias toward simplicity: you ask whether complexity is necessary before adding it
- Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalent
- Relevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalent
Vacancy posted 1 day ago
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