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Engineering Technician 5
Silfex, Inc. - A Division of Lam Research Corporation
Posted: 10/19/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building large-scale data pipelines, with a strong focus on data engineering and product development. Proficient in integrating and managing client data while ensuring high performance and reliability in data processing.
Highest-signal resume keywords
Data EngineeringBig Data Pipeline DevelopmentPySpark, Scala, Python, SQL ProficiencyCloud Infrastructure ExperienceEntity Resolution and Data Quality Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design, build and operate large-scale data pipelines for ingesting, transforming, matching and syncing client data
- Build and improve the entity matching service and underlying schema
- Develop data asset management features such as scoring, status assignment and configurable intake
- Build APIs and backend services powering customer-facing UIs and internal tools
- Contribute to customer-facing and internal applications that help bring new products to market
- Build self-service internal tools for operations, customer success and other non-technical teams
- Debug messy enterprise client data end to end and improve ingestion reliability and repeatability
- Integrate clinical and provider data as new products and customers join the platform
- Work with product and design partners from customer problem through shipped product
- Improve pipeline performance, reliability, observability, testing and documentation
- Contribute to architecture decisions and design and code reviews
- Collaborate with adjacent teams owning feed delivery, access infrastructure, public-facing APIs and roster processing
- Report to the Director of Software Engineering, Health Plans
Requirements
What you’ll need- 8+ years of software engineering experience with a strong focus on data engineering and building data-driven products
- Deep experience designing, building and running production big data pipelines at scale (ETL/ELT, orchestration, scheduling, monitoring)
- Strong proficiency in PySpark, Scala, Python and SQL
- Solid experience with distributed data processing and performance tuning in Spark
- Experience building APIs or backend services that support customer-facing applications
- Working knowledge of cloud infrastructure (e.g., AWS, GCP or Azure)
- Hands-on experience with entity resolution, record matching or master data management
- Experience with data quality, scoring or validation frameworks
- Comfort working directly with client data, including messy source files, and onboarding enterprise customers
- Product-engineering mindset: you care about how customers use what you build
- Preferred: full-stack experience, or experience building web UIs with a modern framework (e.g., React)
- Preferred: experience building products that turn complex data into customer-facing features
- Preferred: experience building internal self-service tools
- Preferred: experience with healthcare data such as provider or HCP directories, rosters, credentialing, clinical trial or site feasibility data
- Preferred: experience with CTMS or other clinical systems data
Benefits
Comp & perks- Full suite of health insurance options
- Generous paid time off
- Pre-planned company-wide wellness holidays
- Retirement options
- Health & charitable donation stipends
- Impactful Business Resource Groups
- Equity in the form of Restricted Stock Units (RSU)
- Equal opportunity and inclusive workplace
- Reasonable accommodation for applicants with mental and/or physical disabilities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignETL/ELT ProcessesAPI DevelopmentDistributed Data ProcessingPerformance TuningData Quality FrameworksEntity MatchingData TransformationDebugging Client DataProduct Engineering Mindset
Soft Skills
CollaborationProblem-SolvingCustomer-Centric Approach
Tools & Technologies
AWSGCPAzureSparkReact
Industry Keywords
Healthcare DataMaster Data ManagementClinical Trial DataHCP DirectoriesCredentialing