Data Engineer Jobs in Finance

Data Engineering in Finance

Data engineers in financial services build the infrastructure that stores, processes, and delivers the massive volumes of data that modern finance depends on. From market data feeds and transaction records to alternative datasets and regulatory reports, data engineers ensure data quality, availability, and performance.

The role requires expertise in distributed computing frameworks (Spark, Flink), streaming platforms (Kafka, Kinesis), data warehousing solutions (Snowflake, BigQuery, Redshift), and orchestration tools (Airflow, Dagster). SQL, Python, and Scala are the primary programming languages.

Career Opportunities

Data engineering roles exist at investment banks, hedge funds, asset managers, exchanges, financial data providers, and fintech companies. Compensation ranges from $120,000 to $220,000 for mid-level data engineers, with staff and principal engineers earning $220,000 to $350,000 at top firms.

The growing importance of alternative data, real-time analytics, and AI/ML infrastructure in finance is driving strong demand for data engineers who can build scalable, reliable data platforms that meet the performance and regulatory requirements of financial services.

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