Data Engineer

We're looking for a Data Engineer who is a hands-on builder with a drive for excellence and a pragmatic, problem-solving mindset. The role is best suited to an engineer with solid data engineering fundamentals who is excited to build, operate, and improve production data systems, while continuing to grow in streaming, platform reliability, and cloud-native data engineering practices.

Requirements

• Hands-on experience building and maintaining production data pipelines
• Strong SQL and data modeling fundamentals
• Experience with at least one distributed data processing framework such as Apache Beam, Spark, or Flink
• Experience with at least one cloud data warehouse such as BigQuery, Snowflake, Redshift, Databricks SQL, or Synapse
• Familiarity with pipeline orchestration using frameworks such as Airflow, Composer, Prefect, or equivalent
• Exposure to streaming platforms such as Kafka and an understanding of core streaming concepts
• Understanding of data quality and observability basics
• Prior experience with at least one major cloud data platform such as Google Cloud, AWS, or Azure
• Prior exposure to fintech, payments, lending, or broader financial services domains
• Experience with automation tools for reporting workflows

Benefits

• Competitive salary
• Health insurance
• Paid time off
• Retirement plan