Lead I - Software Engineering

TekWissen LLC; Bellevue (WA); On-site; USD 90,000 - 130,000; Part time

Job summary

TekWissen Group in Bellevue, WA seeks a Lead I - Software Engineering to build data products in Care & Retail, on site for 6 months. You’ll own end-to-end data pipelines, support analytics, and use AI tools to improve throughput.

The role emphasizes system thinking, product-owner mindset, and collaboration with business teams to deliver reliable data solutions across Magenta & Metro.

Qualifications

• 2-4 years of data engineering experience.
• Experience designing and building data pipelines and data lakes in a cloud environment.
• Root-cause analysis across data and processes and action-oriented fixes.
• Ability to collaborate with business teams and manage stakeholders.

Responsibilities

• Design, build, and optimize data pipelines and structures for scalable data processing.
• Contribute to semantic analytics layer and dimensional modeling for Care & Retail reporting.
• Migrate pipelines to standardized ingestion patterns and layered data architecture.
• Engage business teams to understand problems and coordinate changes end-to-end.
• Perform impact analysis, diagnose issues, and validate outcomes.
• Conduct root-cause analysis on data/process issues and support ad hoc analyses.
• Identify opportunities to consolidate data objects and reduce support workload.
• Adopt AI tools and modern engineering practices to improve throughput.

Skills

SQL

Databricks

Azure Data Stack

Dimensional Modeling

Power BI

Python/Scala

AI Tools

OOP Principles

Education

Bachelor's degree

Tools

Microsoft Fabric

Azure Data Lake Storage

Power BI

Databricks

Job description

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

Lead I - Software Engineering

Location: Bellevue, WA, 98006

Duration: 6 Months

Job Type: Temporary Assignment

Work Type: Onsite

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.

WHAT YOU'LL 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 WE'RE LOOKING FOR:

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:

• 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

TekWissen Group is an equal opportunity employer supporting workforce diversity.