Senior Data Engineer
Core
Building next-generation data warehousing pipelines and ecosystem for a finance tech organization, focusing on data migration, transformation, and standardization for enterprise contracting and billing systems.
Role type
Senior Data Engineer (Finance Tech)
Builds
Scalable data pipelines, data platforms, and ETL/ELT processes for financial data across systems and acquisitions.
Domain
Finance technology, Real estate data infrastructure
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
Data pipeline design, ETL/ELT development, SQL, Python/Scala/Java/C#, Distributed processing engines, Cloud data warehouses/lakehouses, Data modeling, Data quality controls, CI/CD, Agentic engineering with AI tools
Preferred skills
Databricks (Delta Lake, Unity Catalog), Modular transformation frameworks (dbt, SQLMesh), Managed ingestion and streaming tooling, Data observability and governance, Master data management, AWS data services, Terraform, AI/ML feature engineering pipelines
Technologies
Databricks, Snowflake, BigQuery, Redshift, Spark, Airflow, dbt, Kafka, AWS, Azure, GCP, Terraform, C#/.NET
Responsibilities
Design and maintain scalable data pipelines; Develop and optimize ETL/ELT processes for large datasets; Collaborate with engineering, product, DevOps, and DBA teams; Contribute to technical design decisions and mentor engineers
Seniority
Senior, hands-on IC with technical leadership
