Garner HealthNew York, NYBuilds, optimizes, and maintains scalable data pipelines using Python, SQL, and modern data stack in AWS to support BI, marketing, and data science. Requires 2+ years experience, expertise in data modeling and orchestration tools like Airflow and Snowflake.
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (OpenSearch), OpenTelemetry, Looker
Target salary range: $125,000-$165,000. Eligible for equity incentive and competitive benefits including flexible PTO, Medical/Dental/Vision, 401(k) with company match, flexible spending accounts, Teladoc Health.
Own end-to-end data migrations for government agencies switching to GovWell's AI platform. Clean messy legacy data (SQL/Python), lead customer calls with non-technical staff, ensure high-quality production data, and drive process improvements.
As a Data Engineer, you will build and maintain data pipelines, dbt models, and infrastructure on AWS and Snowflake. You will partner with BI/Analytics Engineering, take operational responsibility, and mentor junior team members.
Software Engineer building data models, pipelines, and systems for measuring, monetizing, and optimizing customer lifecycle at an AI marketing platform.
Develops backend systems for MongoDB data migration and code generation tools using Java, Kafka, and Debezium. Requires 2+ years experience in distributed systems, streaming platforms, and strong CS fundamentals.
Builds and maintains ETL pipelines for clinical studies with biometric sensor data, validates hardware algorithms through statistical analysis, and develops tools for data visualization and cross-team collaboration at a sleep tech company.