Job Title: Senior Data Engineer Department: Product Development

About The Role

: Join our dynamic team of talented engineers with a proven track record in constructing data warehouses, lakes, and pipelines. We are on a mission to fuel Unite Us' ongoing expansion and enhance its positive influence on both the healthcare industry and individuals nationwide. As part of our team, your role will be instrumental in collecting, processing, and delivering data to both internal and external stakeholders.

This pivotal work empowers us to intelligently invest in emerging opportunities, quantifying the value and ROI that Unite Us networks bring to our customers. By leveraging your expertise, you will help establish Unite Us as a thought leader in the dynamic social care landscape. Become an integral part of our team and help us in shaping the future of healthcare and making a meaningful impact on the lives of people across the country.

What You'Ll Do

: Implement a data architecture and infrastructure that aligns with business objectives.

Requirements

Create ETL and data pipeline solutions for efficient loading of data into the warehouse along with their testing to ensure reliability and optimal performance Collect, validate, and provide high-quality data, ensuring data integrity Champion data democratization efforts, facilitating accessibility to data for relevant stakeholders Guide the team with regard to technical best practices and contribute substantially to the architecture of our systems Supporting operational work like onboarding new customers to our data products and participating in on-call for the team Engage with cross-functional teams, including Solutions Delivery, Business Intelligence, Predictive Analytics, and Enterprise Services, to address and support any data-related technical issues or

You’re a great fit for this role if : At least 6-8 years of experience in working with data warehouses, data lakes, and ETL pipelines Proven experience with building optimized data pipelines using Snowflake Expert in orchestrating data pipelines using Apache Airflow, including authoring, scheduling, and monitoring workflows Experience designing ETL/ELT data pipelines using data transformation tools like DBT Advanced SQL knowledge, with experience in pulling complex queries, query authoring, and strong familiarity with Snowflake or various relational databases like Redshift, Postgres, etc. Strong proficiency in Python for building, optimizing and maintaining data pipelines and services. Experience with CI/CD pipelines to automate testing, deployment and release of data engineering and analytics workflows using tools such as GitHub Actions, Jenkins etc.

Exposure to AWS and proficiency in cloud services such as ECS, S3, RDS, etc. Experience with tools like Kubernetes, Terraform, Docker, Kafka Experience in developing applications for large enterprise clients. Previous engagement with healthcare and/or social determinants of health data products.

Experience designing, building and maintaining data pipelines for healthcare claims and clinical data, ensuring data quality, scalability and compliance.