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
Position: Senior Data Engineer
Location: Bellevue, WA, 98008
Duration: 7 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description:
- We are seeking an experienced Senior Data Engineer to design, build, and optimize production-grade data solutions supporting Identity Resolution (IDR)and large-scale customer data initiatives.
- The ideal candidate will have proven experience delivering data solutions at billion-record scale, with strong expertise in Azure Databricks, PySpark, Python, Azure Data Factory, and distributed data processing.
- The role requires strong production-scale engineering judgment-the ability to identify technical and scalability constraints early, evaluate alternatives quickly, and deliver tested, scalable, and production-ready solutions.
- Experience with Identity Resolution or comparable high-throughput matching systems is highly preferred.
Key Responsibilities
- Design and optimize large-scale data processing solutions capable of operating at 1B+ record scale.
- Develop scalable data pipelines using Azure Databricks, PySpark, Python, and ADF.
- Optimize Spark workloads including large-scale joins, partitioning, shuffling, data skew, memory, and compute utilization.
- Design and improve solutions for Identity Resolution, Entity Resolution, Record Linkage, Deduplication, or similar high-volume matching problems.
- Evaluate technical approaches against production data volumes and infrastructure constraints.
- Identify and communicate scalability and environment constraints earlyand recommend viable alternatives.
- Perform performance and scalability testing using production-like workloads.
- Build reliable data pipelines with appropriate validation, error handling, monitoring, and recovery mechanisms.
- Collaborate with architects, engineers, data scientists, and stakeholders to deliver solutions from design through production.
Required Qualifications
- 7+ years of Data Engineering experience.
- Proven experience working with very large-scale datasets, preferably 1B+ records.
- Strong hands-on experience with Azure Databricks and PySpark.
Strong Python and SQLskills.
- Experience with Azure Data Factory (ADF) and Azure data services.
- Strong understanding of distributed processing and Spark performance optimization.
- Experience delivering production-grade, scalable data solutions.
- Ability to identify technical constraints early and make timely technical decisions.
- Strong problem-solving and communication skills.
Preferred Qualifications
- Experience with Identity Resolution / Entity Resolution / Record Linkage / Deduplication / Fuzzy Matching.
- Experience with Cosmos DB and low-latency APIs.
- Experience with Azure Functions or Azure Web Apps.
- Experience with Event Hub, Kafka, or Spark Structured Streaming.
- ML experience related to matching or customer data.
- Exposure to Generative AI, LLMs, RAG, or Agentic AI.
- Telecommunications or large-scale customer data experience.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
Numbers & Facts
| Location | Bellevue, WA |
| Industry | Computer/IT Services |
| Salary | $63.70 |
| Company Size | 100 to 499 employees |
| Year Founded | 2009 |
| Website | http://www.tekwissen.com/ |
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.Skills
- Apache Sparkunmatched
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Communication Skillsunmatched
- Customer/Client Researchunmatched
- Data Managementunmatched
- Data Processingunmatched
- Data Scienceunmatched
- Data Setsunmatched
- Diversityunmatched
- Engineeringunmatched
- Environmental Communicationsunmatched
- Error Handlingunmatched
- High Throughputunmatched
- Information Technology & Information Systemsunmatched
- Internet Applicationunmatched
- Memory Hardwareunmatched
- Microsoft Windows Azureunmatched
- Performance Testingunmatched
- Performance Tuning/Optimizationunmatched
- Problem Solving Skillsunmatched
- Process Capabilityunmatched
- Production Volumeunmatched
- Python Programming/Scripting Languageunmatched
- Scalability Testingunmatched
- Scalable System Developmentunmatched
- Technical Analysisunmatched
- Telecommunicationsunmatched
- Time Managementunmatched
- Workforce Managementunmatched
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