Sr. Data Engineer

Sr. Data Engineer
Duration: 6+ Months
Location: Atlanta GA, Frisco TX and Bellevue , Seattle WA – Local only

Education and Work Experience

•        Bachelor's or Master's degree in Computer Science, Engineering, or related field
•        6+ years of experience in data engineering and distributed data systems
•        Proven experience designing and implementing enterprise-scale data platforms serving high-volume, high-reliability use cases
•        Strong experience in cloud-native architectures (Azure preferred)
Technical Skills
•        Advanced programming: Python, Spark (PySpark/Scala), SQL
•        Azure ecosystem: ADF, ADLS, Databricks
•        Data platforms: Snowflake, Cosmos DB, SQL Server
•        Strong expertise in ETL/ELT design, streaming architectures, and data modeling for customer-centric data domains
•        Experience with API integrations and event-driven architectures at scale
•        Hands-on experience with data quality frameworks, reconciliation techniques, and monitoring — with a focus on trust and accuracy
•        Familiarity with data support for AI/ML use cases (e.g., feature pipelines, data preparation, metadata management for identity resolution)
•        Basic understanding of RAG, vector search, and LLM-driven applications (supporting role, not primary ownership)
•        Experience implementing data governance, lineage, and access controls in regulated environments
•        Expertise in performance tuning and cost optimization for population-scale data processing
Knowledge, Skills, and Abilities
•        Strong system design and architectural thinking for data platforms that must be both authoritative and performant
•        Ability to handle large-scale, complex data ecosystems spanning hundreds of source systems