Senior Data Engineer

🚨 Immediate Need — 6-Month Hybrid Engagement | Lead Data Engineer | Bellevue, WA Strictly W2 Only - No C2C Job Title: Lead Data Engineer Location: Bellevue, WA - Locals Preferred | Hybrid Duration: 6-Month Contract Rate: $61.52/he on W2 Only US Citizens and Independent Visa holders - NO OPT, CPT and H1's ⚠️ SUBMISSION NOTES: W2 engagement only — No C2C or 1099 | Local Washington State candidates preferred | Please include availability for prescreen when submitting. 📞 30-Min Prescreen Required — Please share 2–3 available time slots when applying. WHAT YOU WILL DO → Design and implement end-to-end data platform architecture — ingestion, processing, storage, and serving — with near real-time delivery at a 15-minute SLA → Build scalable pipelines using Databricks/Spark for large-scale processing, Delta Lake for ACID-compliant storage, and Snowflake for data warehousing and analytics → Design and implement real-time pipelines using Kafka/Azure Event Hubs — enabling incremental processing and efficient data updates → Implement ETL/ELT pipelines with strong data modeling practices across batch and streaming workloads → Establish data quality frameworks including validation, completeness, and consistency checks — implementing monitoring, alerting, and data observability → Define and enforce data governance, lineage, and metadata standards across the platform → Design semantic models and curated data layers for Power BI/Microsoft Fabric dashboards — ensuring consistent, accurate, and high-performance reporting → Optimize pipelines and storage for large-scale datasets (TB/PB) — implementing partitioning, indexing, caching, and performance tuning strategies → Lead and mentor a team of data engineers — driving best practices in coding, architecture, and delivery → Collaborate with Technical Product Managers, BI teams, and business stakeholders — managing technical risks, dependencies, and roadmap execution MUST HAVE ✅ • Strong data engineering and platform architecture experience at Lead level • Databricks, Apache Spark, and Delta Lake — deep hands-on expertise • Snowflake or equivalent cloud data warehouse — production-scale experience • Streaming technologies — Kafka and/or Azure Event Hubs — hands-on • Data modeling, ETL/ELT design, and pipeline architecture • Data quality frameworks — validation, monitoring, and observability tools • Power BI and/or Microsoft Fabric — familiarity with semantic model design and dashboard enablement • Strong Python and SQL programming skills • Technical leadership — ability to lead and mentor data engineering teams • Azure ecosystem experience — ADF, ADLS, AKS preferred NICE TO HAVE ⭐ • Real-time analytics platform experience • Data governance and MDM framework exposure • CI/CD and DevOps practices for data platforms • Microsoft Fabric advanced semantic layer design • Experience delivering near real-time SLA-driven data products (sub-15-minute latency) EDUCATION Required • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or related field • Demonstrated Lead-level data engineering and platform architecture experience Preferred • Azure Data Engineer or Databricks certifications • Microsoft Fabric Analytics Engineer certification • Experience with TB/PB scale data platform delivery