Lead I Software Engineering
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Job Location:
Overland Park, KS - USA
Monthly Salary:
Not Disclosed
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
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: Lead I - Software Engineering
Location: Bellevue WA/ Frisco TX / Overland Park KS
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.
- Were looking for engineers who operate as product owners.
- Youll 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 youll fit here.
WHAT YOULL DO
- 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 WERE LOOKING FOR
Experience
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
Technical Skills
- 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)
How You Work
- 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
EDUCATION
- Bachelors 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
TekWissen Group is an equal opportunity employer supporting workforce diversity.
