Sr. Data Engineer
Core
Build and maintain data lake and data warehousing solutions for a B2B multi-tenant SaaS platform serving U.S. banks and credit unions.
Role type
Senior Data Engineer (SaaS)
Builds
Data lakes, data warehouses, and end-to-end data pipelines for a multi-tenant SaaS solution.
Domain
Fintech / B2B SaaS
Deliverable
production ML models | infrastructure
Required skills
Modern data architecture design, AWS big data technologies (EMR, Glue, S3, EKS, Lambda, Athena, RDS, Kafka, Kinesis), ETL development, SQL, Python, DevOps (CI/CD, Kubernetes, IaC), relational and NoSQL databases (PostgreSQL, Cassandra, DynamoDB, MongoDB), data modeling, test automation, legacy data warehouse optimization, mentoring.
Preferred skills
Multi-tenant B2B2C SaaS experience, FinTech industry experience, AWS CloudFormation/Terraform, MPP Data Warehouse (Redshift, Greenplum).
Technologies
AWS (EMR, Glue, S3, EKS, Lambda, Athena, RDS, Kafka, Kinesis), PostgreSQL, Cassandra, DynamoDB, MongoDB, Kubernetes, Terraform, CloudFormation, Redshift, Greenplum
Responsibilities
Design and develop data pipelines and infrastructure as code; lead code and design reviews; monitor and troubleshoot performance, scalability, and security; evaluate new technologies; participate in data governance; optimize legacy ETL pipelines; mentor junior developers.
Seniority
Senior, hands-on IC with mentorship responsibilities