Data Engineer III
Build and optimize scalable data pipelines, reusable datasets, and federated data quality systems for healthcare analytics. The role requires at least 2 years of data or software engineering experience and strong Python, SQL, AWS, orchestration, database, and warehouse expertise.
About the job
Responsibilities
- Build, optimize, and maintain data pipelines that power the business.
- Define and build reusable, abstracted datasets for Business Intelligence, Marketing, and Data Science Research.
- Design, build, and promote a federated data validation framework to monitor potential data inconsistencies.
- Protect user privacy and security through best practices.
Requirements
- 2+ years of software or data engineering experience, including distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality.
- Expertise in SQL and Python.
- Expertise in scalable data pipelines, query optimization, data modeling, and reusable dataset design.
- Experience with orchestration tools, especially Airflow; databases, especially PostgreSQL; and data warehouses, especially Snowflake.
- Familiarity with SQL tuning, medallion and event-driven architectures, and telemetry.
- Familiarity with healthcare or insurance.
- Familiarity with data security and HIPAA compliance.
Technologies
- AWS
- Terraform
- Argo
- Spark
- DuckDB
- Iceberg
- Airbyte
- dbt
- Elasticsearch/OpenSearch
- OpenTelemetry
- Looker
Compensation and Benefits
- Target salary range: $166,000–$205,000.
- Eligible for equity incentives and benefits including flexible PTO, medical, dental and vision plans, 401(k) with company match, flexible spending accounts, and Teladoc Health.
Skills
Python, SQL, AWS, Airflow, Postgres, Snowflake, Terraform, Spark, Duckdb, Apache Iceberg, Airbyte, dbt, OpenTelemetry, Looker, Data Modeling
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