Senior Database Engineer- Arlington, VA
Core
Design and build data models, pipelines, and cloud data architecture to power financial systems and analytics.
Role type
Senior hands-on data engineer (financial data)
Builds
Data platforms for financial operations, analytics, and new products
Domain
Real estate information, financial data, cloud data platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
dimensional modeling, ETL/ELT pipeline design, SQL Server tuning, Python/Scala/Java, Databricks/Spark, Apache Airflow/NiFi, data quality frameworks, SOX compliance
Preferred skills
Kafka/Spark Streaming, AWS/Azure/GCP, NoSQL (DynamoDB), containerization (Docker/Kubernetes), Elasticsearch, Power BI, AI-assisted development
Technologies
SQL Server, Databricks, Snowflake, Kafka, NiFi, Airflow, Elasticsearch, AWS, DynamoDB, S3, Docker, Kubernetes, Power BI
Responsibilities
Design and build data models, data pipelines, and cloud data architecture; Build and maintain high-volume ETL/ELT pipelines; Tune SQL Server workloads; Integrate data from internal and external sources; Build data quality, lineage, testing, monitoring, and observability frameworks; Optimize processing, storage, and query cost; Apply SOX and audit controls; Automate data infrastructure; Support production pipelines; Contribute to architecture decisions and mentor engineers