Charlotte NC Onsite
Contract
Sr Data Engineer
- Design and build end-to-end data pipelines (ETL/ELT) for structured and unstructured data
- Develop scalable data platforms handling terabytes of data with high reliability and low latency
- Strong expertise in data modeling, warehousing, and lakehouse architectures
- Own data quality, lineage, governance, and observability frameworks
- Hands-on experience with Spark, Hadoop, Kafka, Flink (batch + real-time processing)
- Build and optimize high-throughput, distributed data systems
- Experience in streaming + event-driven architectures for large-scale financial data
- Deep expertise in GCP (Data Lakes, Warehouses, Compute, Storage)
- Tools: Databricks, Snowflake, Redshift, Synapse, BigQuery
- Pipeline orchestration using Airflow, Prefect, or similar frameworks
- Strong coding in Python, SQL, Scala/Java
- Focus on performance optimization, reliability, and production-grade systems
- Experience with CI/CD, DevOps, and infrastructure-as-code
- Ability to design architectures and make technology decisions at scale
- Strong understanding of:
- Trade lifecycle, transactions, risk, compliance, regulatory reporting
- Customer 360, payments, lending, capital markets data and Wealth Management Business
- GenAI / LLM integration (RAG, embeddings, vector stores)
- Lead legacy-to-cloud data platform migrations
- Drive data re-engineering, system decomposition, and modernization initiatives
- Drive resilience, failover, and incident response frameworks
- Work across engineering, data science, risk, compliance, and product teams
- Ability to translate business needs (risk, reporting, revenue) into data solutions
- Mentor engineers and drive engineering best practices and standards
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