Own pipeline and infrastructure work from intake through production
Build and maintain ingestion and transformation pipelines from operational systems, third-party APIs, and event streams into the warehouse
Turn product and business requirements into specifications and well-modeled datasets
Write and maintain Terraform for the AWS resources your pipelines run on
Use CI/CD to ship pipeline and infrastructure changes safely and often
Build data quality checks, unit tests, and integration tests for the pipelines you own
Use modern tooling, including AI assistants, to move faster on development, testing, and documentation
Build datasets and reporting layers for product features, BI, and operational reporting
Work with Product, Engineering, Operations, Sales, and Compliance so data solutions actually fit the downstream use case
Write the runbooks and documentation that on-call teammates and stakeholders will rely on
Watch your pipelines in production and fix issues before someone has to ask
Keep up with what is changing in data engineering, cloud infrastructure, and fintech compliance

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field
3-5 years of professional data or backend engineering experience with a clear data focus
Hands-on experience building batch and/or streaming pipelines that run in production
Working knowledge of AWS data services (S3, RDS, Lambda, Glue, ECS, EventBridge, IAM)
Familiarity with Terraform for managing AWS infrastructure
Experience with CI/CD for data and application deployments
Strong SQL and at least one general-purpose language (Python preferred)
Experience with a modern data warehouse such as Snowflake, Redshift, BigQuery, or Databricks
Working understanding of dimensional modeling, ELT, and data quality basics
Clear writing for runbooks, design notes, and PR or Slack communication
Ability to manage multiple priorities and work with non-engineering partners
Interest in fintech and the data-handling rules that come with it (preferred)

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