Senior Data Engineer
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: Senior Data Engineer Location: Bellevue, WA, 98008 Duration: 7 Months Job Type: Temporary Assignment Work Type: Onsite Job Description:
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.
- 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.
- 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.
- 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.
- 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.
Vacancy posted 3 hours ago
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