Senior Data Engineer - Portland - WellRithms, Inc.

    WellRithms, Inc.
    WellRithms, Inc. Portland

    22 hours ago

    Healthcare
    Description

    Our Ideal Candidate

    We are looking for a Senior Data Engineer who is a self-starter and detail-oriented with a strong blend of technical expertise and business acumen. The ideal candidate has a strong foundation in data engineering, experience working with healthcare data, and the ability to build scalable data-driven solutions. You are a proactive problem-solver who takes ownership of your work, continuously seeks to improve data quality and accessibility, and is committed to delivering high-quality data solutions.

    Responsibilities

    • Lead data modeling efforts to create optimized data structures for reporting and analytical purposes.
    • Design, develop, and maintain end-to-end data pipelines that transform raw source data into high-quality, actionable datasets.
    • Build the company's data infrastructure and data catalog, from data ingestion through the semantic layer, ensuring a robust, scalable architecture on AWS.
    • Collaborate with cross-functional teams (product, technology, operations, etc.) to understand data needs, align them with business goals, and translate them into technical solutions.

    Qualifications

    • Bachelor's or Master's (preferred) degree in Computer Science, Engineering, or a related quantitative field (Data Science).
    • 5+ years of experience as a Data Engineer, Analytics Engineer, or similar role, with a strong focus on the development of end-to-end data solutions and products.
    • 5+ years of hands-on experience with AWS cloud technologies is required, including designing, building, and maintaining cloud-based data infrastructure and infrastructure as a Code (IaC), such as CDK or Terraform.
    • Proficiency in building and managing data infrastructure and ETL pipelines within AWS, leveraging services like AWS Glue, Athena, Redshift, Aurora, RDS, DynamoDB, EMR, Lambda, IAM, S3, EC2, CLI.
    • Demonstrated experience in designing and implementing robust data models for analytical purposes.
    • Strong proficiency in SQL and experience with various database systems (e.g., MySQL, NoSQL, Snowflake, Vector Databases).
    • Strong proficiency in Python for data engineering and analytics, and extensive experience with data pipeline development and orchestration tools (e.g., Airflow, dbt).
    • Experience with Power BI or Tableau for data reporting and dashboard development.
    • Experience shipping data products to production and understanding software development lifecycle best practices.
    • Strong problem-solving skills, the ability to work independently, and good communication and collaboration skills.
    • Ability to learn new technologies and adapt to a fast-paced environment.
    • Awareness of HIPAA, PHI, and other healthcare-specific regulations related to data and AI.

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