Key skills
AirflowPostgresPythonSQLData EngineeringData WarehousingBusiness IntelligenceSnowflakePostgreSQL
About this role
Role Overview
- Build, optimize, and maintain data pipelines that power our business
- Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
- Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
- Protect our users’ privacy and security through best practices
Requirements
- 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
- Expertise in SQL and Python
- Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
- Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
- Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
- Familiarity with healthcare or insurance
- Familiarity with data security and HIPPA compliance
- A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback.
Tech Stack
- Airflow
- Postgres
- Python
- SQL
Benefits
- flexible PTO
- Medical/Dental/Vision plan options
- 401(k) with company match
- flexible spending accounts
- Teladoc Health and more.