Charlie Health · 4 days ago

Senior Data Engineer

New York, NY

Full-time

Onsite

Senior Level

8+ years exp

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Responsibilities

Develop, release, and maintain high-quality data pipelines using Python, FiveTran, DBT, and Snowflake

Own and guide the development of data infrastructure

Develop custom integrations using Dagster

Configure reverse ETL integrations using Hightouch

Identify bottlenecks and implement improvements to data engineering processes, tools, and procedures

Collaborate with data architects and feature development teams to produce db designs suitable for analytics use cases

Promote a culture of collaboration and learning across engineering, product, and design team via mentoring, documentation, presentations, or other knowledge-sharing methods

Ensure data availability by participating in the on-call rotation

Qualification

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SQLPythonData EngineeringCTEsAggregation FunctionsWindow FunctionsPartitioningClusteringPandasNumpyGreat ExpectationsModern Data StackFiveTranSnowflakeDBTDagsterHightouchTableauDatabase DesignData ExplorationData ProfilingData GovernanceData VisualizationSensitive Data HandlingRegulatory ComplianceProblem-SolvingAdaptabilityNYC office commuting distance healthcareHard Working

Required

Bachelor's degree in Information Systems, Computer Science, Data Science, Analytics, Mathematics, or equivalent practical experience

8+ years experience as a software engineer, with at least 4 years of experience in a data engineering role

Deep expertise in SQL. You understand CTEs, aggregation functions, window functions, partitioning and clustering approaches to run correct and highly-performant queries

High proficiency in Python and experience using common data engineering libraries such as Pandas, Numpy, and Great Expectations

Experience with a modern data stack. Experience with our tools - FiveTran, Snowflake, DBT, Dagster, Hightouch, and Tableau - is a big plus

Proficiency in database design; both warehouse (Kimball, Inman), and transactional systems (3NF)

Experience with data exploration, profiling, governance, visualization, and activation

Proven ability to thrive in an ambiguous and rapidly changing environment

Experience working with sensitive data in a regulated environment