Technical Lead Leidos
Kirkland, WA30+ days ago
- $131,300–$237,350
Highlights
Our client provider of digital technology and transformation, information technology and services Position: 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. Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide.
Numbers & Facts
| Location | Bellevue, WA |
| Industry | Computer/IT Services |
| Salary | $54.29 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
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
Position: 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.
About Company
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.Similar Jobs
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