Senior Data Engineer

About the Role

We're looking for a Senior Data Engineer to help us expand and modernize our data architecture. This role offers a unique opportunity to shape new data storage, pipelining, and analytics solutions from the ground up alongside a collaborative, mission-driven team. You’ll work across engineering, product, design, and CX to make data more accessible, actionable, and impactful.

You should possess high attention to detail, have excellent communication skills, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Above all you should be passionate about working with large data sets and love turning messy data into trusted, high-quality assets to answer business questions and drive change.

What you will achieve

• Build robust, scalable pipelines to ingest structured and unstructured data from internal and third-party sources

• Design and maintain data lakes, warehouses, and data marts to support analytics and ML use cases

• Build and maintain APIs and data services to make curated datasets easily accessible across the organization

• Collaborate with product managers, application engineers, data scientists, and customer experience teams to deliver reliable, usable data products

• Define and enforce data quality standards, testing strategies, and validation frameworks

• Work with the Infrastructure team to optimize data infrastructure for cost, security, and performance

• Own documentation and development best practices that support collaboration and long-term maintainability

• Help define Thalamus's evolving data engineering model and drive continuous improvements to our stack

You should have ...

• 7-10+ years of experience in data engineering or a closely related role

• Strong proficiency in Python, with a focus on data engineering applications

• Deep experience with relational and distributed databases, with strong SQL skills for data modeling, transformation, and analysis across platforms like Postgres, Snowflake, or Databricks

• Hands-on experience building and managing data pipelines for both batch and streaming workloads, working with structured and unstructured data

• Familiarity with diverse data formats and ingestion methods, including JSON, XML, YAML, log files, and APIs

• Experience developing data services and APIs using Python web frameworks such as Flask, Django, or FastAPI

• Proven ability to design and deploy data infrastructure on cloud platforms such as Azure or AWS, including storage, compute, and orchestration tools

Bonus

• Experience supporting ML pipelines and integrating with data science workflows

• Familiarity with dbt or similar modern data transformation tools

• Prior experience in healthcare or regulated data environments

The salary range for this position is $180,000 - $220,000 and a grant of stock options. Final compensation will be determined based on experience, skills, and geographic location.