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 organizationArchitect and build data pipelines and data aggregation systems to deliver quality real-time and batch analytical reportsParticipate in hiring and mentoring of team membersAssist and coach teams to optimize poorly performing data pipelinesWork 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 engineeringMastery of SQL and PythonSolid background in processing and storing large scale data using distributed systems as well as a mastery of database designs and data warehousingGood understanding of a broad spectrum of data stores like PostgreSQL, MySQL,MongoDB, Redis, Snowflake and RedshiftExperience building data pipelines using Spark, Kafka, AirflowKnowledge of software engineering best-practice development (e.g., linting, testing)Ability to collaborate and problem-solve across teamsExcellent communication skills, both written and verbalBachelors degree in C.S. or equivalent experience

BONUS POINTS
Experience building data infrastructure on AWSPrior DBA experiencePrior experience with healthcare data (PHI/PII/HIPAA)Prior experience working with KubernetesExtensive NoSQL knowledge