Data Engineer

Our stack: 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, and our security/compliance posture is at the highest standards of healthcare, including HIPAA, HITRUST, SOC 2, CCPA.

WHAT YOULL ACCOMPLISH
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

WHAT WE'RE LOOKING FOR
5+ years of software engineering experience, 6+ in data engineering
Mastery of SQL and Python
Solid background in processing and storing large scale data using distributed systems as well as a mastery of database designs and data warehousing
Good understanding of a broad spectrum of data stores like PostgreSQL, MySQL,
MongoDB, Redis, Snowflake and Redshift
Experience building data pipelines using Spark, Kafka, Airflow
Knowledge of software engineering best-practice development (e.g., linting, testing)
Ability to collaborate and problem-solve across teams
Excellent communication skills, both written and verbal
Bachelors degree in C.S. or equivalent experience

BONUS POINTS
Experience building data infrastructure on AWS
Prior DBA experience
Prior experience with healthcare data (PHI/PII/HIPAA)
Prior experience working with Kubernetes
Extensive NoSQL knowledge