Data Engineer II

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Skills you'll use

What you'll do

• Build and maintain batch and streaming data pipelines that deliver correct, on-time data to analytics and product teams.
• Implement dimensional data models and dbt transformations from a design that you and a senior engineer agree on.
• Add data quality tests, monitors, and alerts to the pipelines that you own. Respond when they fire.
• Apply the team's HIPAA and PII patterns when you handle member data. This includes access control, tagging, and audit trails.
• Diagnose and tune slow or expensive pipelines and queries. Report the cause and the measured improvement.
• Support business stakeholders and data scientists who use first-party and third-party data. Answer questions about the models that you build.
• Turn a business requirement into a technical design for one pipeline or one data model. Write it down before you build.
• Take part in on-call rotation for the data platform. Write and improve runbooks for the failures that you fix.

Who can apply

• Time zones: San Francisco is in the Pacific Time Zone, which is 12 hours and 30 minutes behind India Standard Time (e.g., 8am in San Francisco is 8:30pm in Bengaluru).
• Hours: Applicants should be open to meetings in the late evening following India Standard Time to align with San Francisco working hours (8am - 6pm PT).
• Bachelor’s Degree in Computer Science or related technical degree
• 3+ years of data engineering experience
• 2+ years of experience in processing and storing large scale data using distributed systems as well as working knowledge of database designs and data warehousing including star and snowflake schemas.
• 2+ years of experience working with broad spectrum of OLTP data stores like PostgreSQL,MySQL, MongoDB, Redis and OLAP stores like Databricks,Snowflake, Redshift
• 1+ years of experience building data pipelines using Spark, Kafka, Airflow
• 1+ years of experience designing and implementing data warehouse models (e.g., STAR, Snowflake), as well as developing ELT and ETL pipelines within data lake ecosystems

About hinge-health

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