We’re looking for a Data Engineer to design, build, and maintain reliable data infrastructure that powers analytics, financial models, and AI-driven products.

This role is ideal for someone who enjoys working close to the data, cares about data quality and performance, and can translate messy real-world inputs into clean, trustworthy pipelines.

What You’ll Do

Design and build scalable data pipelines using Python

Ingest, transform, and validate data from multiple internal and external sources

Work with AWS services to store, process, and orchestrate data workflows

Ensure data quality, consistency, and observability across pipelines

Optimize performance, cost, and reliability of data infrastructure

Collaborate with backend, AI/ML, and product teams to support analytics and modeling needs

Maintain clear documentation and data contracts

What We’re Looking For

Must-Have

Strong Python skills (data processing, ETL/ELT, scripting)

Hands-on experience with AWS, such as:

S3, Lambda, EC2, or similar

GCP Experience

Experience building and maintaining production-grade data pipelines

Solid understanding of data modeling, schemas, and transformations

Familiarity with SQL and relational databases

Attention to data correctness, edge cases, and failure modes

Nice-to-Have

Experience with financial data, market data, or time-series datasets

Exposure to AI / ML workflows (feature pipelines, training data prep)

Experience with orchestration tools (Airflow, Step Functions, Prefect, etc.)

Streaming or near–real-time data (Kafka, Kinesis, etc.)

Infrastructure-as-code (Terraform, CloudFormation)

Experience working in startup or fast-moving product teams

How We Work

Data quality over data volume

Simple, observable systems over over-engineering

Strong ownership and accountability

Close collaboration with product, engineering, and AI teams

Bonus Points

You think about data as a product

You proactively surface data issues before they become problems

You enjoy improving pipelines that already “work” but could work better