Position Details

Salary $105K – $115K USD / year

Type Full-Time

Experience mid

Exp. Years 2+ years

Education Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field

Category Data & Analytics

About this role

This role involves designing and maintaining scalable data platforms and pipelines to support analytics, machine learning, and operational systems in a healthcare SaaS environment.

Key Responsibilities

Design data platforms
Develop ELT workflows
Implement data quality measures
Optimize data pipelines
Collaborate with cross-functional teams

Technical Overview

Focuses on data pipeline development using Python, SQL, cloud data services, and containerization technologies, ensuring data quality and performance.

Ideal Candidate

The ideal candidate is a data engineer with 2+ years experience designing scalable data platforms, proficient in Python, SQL, and cloud data tools like Snowflake and Airflow. They should be detail-oriented, collaborative, and capable of optimizing data pipelines.

Must-Have Skills

Data engineeringDistributed data processingCloud data technologiesPythonSQLData qualityData governance

Nice-to-Have Skills

Machine learningRegulatory reportingData modelingContainerizationKubernetesData observability

Tools & Platforms

SnowflakeTableauPower BIAWS data servicesDockerKubernetesAirflowdbt

Required Skills

Data engineeringELT workflowsPythonSQLSnowflakeAirflowKubernetesData qualityData governance

Hard Skills

Data engineeringData platformsELT workflowsPythonSQLdbtAirflowSnowflakeTableauPower BIAWS data servicesDockerKubernetesCloud-native toolsData qualityData governanceData lineagePerformance optimization

Soft Skills

CollaborationProblem-solvingAnalytical thinkingAttention to detailCommunication

Industry & Role

Industry Healthcare IT, SaaS, Data Science

Job Function Data platform development and data pipeline engineering

Keywords for Your Resume

Data EngineerData platformsELT workflowsPythonSQLdbtAirflowSnowflakeTableauPower BIAWS data servicesDockerKubernetesCloud-native toolsData qualityData governance

Deal Breakers

Lack of experience with cloud data tools, No proficiency in Python or SQL, Inability to work in a remote environment, Lack of experience with data governance

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