Data Engineer - Austin - IQ Clarity, LLC

    IQ Clarity, LLC
    IQ Clarity, LLC Austin

    14 hours ago

    Healthcare
    Description

    IQ Clarity's client is seeking a Data Engineer to design, build, and maintain scalable, cloud-based data platforms and pipelines. This role partners closely with engineering, analytics, and business stakeholders to ensure high-quality, reliable data is available for analytics, reporting, and advanced data use cases.

    Responsibilities:

    • Design, build, and maintain scalable, reliable data pipelines using modern cloud-based orchestration frameworks
    • Develop, test, and optimize analytics-ready data models using dbt and analytics engineering best practices
    • Architect and maintain modern data lake and lakehouse storage patterns to support batch and streaming workloads
    • Build and support batch and near–real-time data processing workflows using distributed processing frameworks
    • Manage and optimize cloud data storage and compute services to ensure performance, scalability, and cost efficiency
    • Establish and enforce data quality, testing, and governance standards, including dbt tests and documentation
    • Collaborate with analytics, data science, application, and business teams to translate requirements into scalable data solutions
    • Monitor data pipelines, troubleshoot data quality or performance issues, and improve system reliability
    • Support CI/CD pipelines and infrastructure automation for data workflows and platforms
    • Ensure data security, access controls, and governance best practices are followed
    • Contribute to engineering best practices, documentation, and code reviews
    • Evaluate and integrate tools and technologies that improve platform scalability, developer experience, and operational efficiency

    Requirements:

    • 5+ years of experience in data engineering or analytics engineering roles
    • Strong proficiency in Python and SQL
    • Hands-on experience designing and building data pipelines on AWS
    • Experience with AWS data services such as S3, Glue, Redshift, RDS, Lambda, Athena, and related analytics tooling
    • Strong experience with dbt for data transformations, testing, and analytics engineering workflows
    • Experience with workflow orchestration frameworks (e.g., Airflow or similar tools)
    • Experience working with distributed data processing technologies (e.g., Spark or similar)
    • Experience designing or supporting modern data lake or lakehouse architectures
    • Familiarity with streaming or messaging platforms (e.g., Kafka or cloud-native equivalents)
    • Experience with infrastructure-as-code and containerization tools (e.g., Terraform, CloudFormation, Docker)
    • Solid understanding of CI/CD concepts as applied to data systems
    • Ability to communicate effectively with both technical and non-technical stakeholders

    Nice to Have:

    • Experience with streaming data platforms (e.g., Kinesis, Kafka)
    • Exposure to analytics, BI, or visualization tools
    • Experience in regulated or compliance-focused data environments
    • Exposure to ML or AI-related data pipelines and feature generation use cases
    • Experience supporting self-service analytics at scale
    • Prior mentoring or informal technical leadership experience
    • AWS certifications

    IQ Clarity, LLC is an Equal Opportunity Employer.

    No C2C or third-party candidates


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