Senior Data Engineer, Hinge Health

• Bachelor’s Degree (or equivalent) in Computer Science, Engineering or a related technical field
• 5+ years of data engineering experience
• 1+ years of experience in DBT
• 5+ years of experience in processing and storing large scale data using distributed systems as well as a mastery of database designs and data warehousing including star and snowflake schemas
• 4+ years of experience working with broad spectrum of data stores like PostgreSQL, MySQL, MongoDB, Redis, Snowflake and Redshift
• 4+ years of experience building data pipelines using Spark, Kafka, Airflow
• 4+ 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

Desirable

• Data Engineers at Hinge Health are software engineers with expertise in data pipelines, OLTP & data warehouse schema design, data governance, ETL, RDBMS and NoSQL systems
• Data Engineers are hands-on, building self-service tools and automation that enable application engineers and data analysts to manage, maintain, and secure their data systems with autonomy while adhering to best practices in a HIPAA environment
• Create compliance strategies (HIPAA, GDPR, CCPA), tooling, processes, and coaching that enables service and application teams to take full ownership of their data in a growing organization
• Architect and build data pipelines and data aggregation systems to deliver quality real-time and batch analytical reports
• Participate in hiring and mentoring of team members
• Assist and coach teams to optimize poorly performing data pipelines
• Work with the SRE team to establish best practices around database monitoring, alerting, and availability
• Our stack: DBT, Python, SQL, Airflow, PostgreSQL, MySQL, REST, Aptible, Docker, Tonic.ai, Terraform, Spark, Kafka, Fivetran, Databricks, AWS (S3, Lambda, Kinesis, RDS, Glue). Our workflow is trunk-based CI/CD