Data & Software Engineer

Avalore

  • Chantilly, Virginia
  • 30+ days ago
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    Skills

    • AWS Lambdaunmatched
    • Amazon Simple Storage Service (S3)unmatched
    • Analysis Skillsunmatched
    • Apacheunmatched
    • Apache Sparkunmatched
    • Bash Scriptingunmatched
    • Best Practicesunmatched
    • Cisco Unityunmatched
    • Computer Programmingunmatched
    • Data Analysisunmatched
    • Data Formatsunmatched
    • Data Managementunmatched
    • Data Migrationunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Database Designunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Debugging Skillsunmatched
    • Design Patterns Programming Methodologiesunmatched
    • Dockerunmatched
    • Documentationunmatched
    • Employee Assistance Planunmatched
    • Feasibility Analysisunmatched
    • Gitunmatched
    • Health Planunmatched
    • Industry Standardsunmatched
    • Information/Data Security (InfoSec)unmatched
    • Javaunmatched
    • MySQLunmatched
    • NoSQLunmatched
    • Operational Support Systems (OSS)unmatched
    • Performance Tuning/Optimizationunmatched
    • PostgreSQLunmatched
    • Privacy Controlsunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • Query Optimizationunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • Scripting (Scripting Languages)unmatched
    • Software Engineeringunmatched
    • Team Playerunmatched

    Description

    Description

    The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience:

    • Building end-to-end data pipelines leveraging Python
    • Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs
    • Containerizing and deploying applications in cloud environments like AWS.
    • Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. 
    • Leveraging industry standard tools for code control (Git, IaaC control, etc.)
    • Working with data catalogs, tracking data lineage  and handling a variety of data formats, including Geospatial.
    • Using Bash scripting for automation and data processing tasks
    • Integrating Al/ML services and models

     

    Responsibilities:

    • Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight
    • Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks
    • Leverage a background in large-scale data migration or platform modernization efforts
    • Contribute to data engineering documentation, best practices, and design patterns.


    Requirements

    Minimum of 5 years' experience with: 

    • Apache Spark & PySpark
    • Advanced Python skills (including Pandas & NumPy)
    • Docker, Podman
    • AWS S3, Lambda & Step functions
    • Apache Iceberg, Airflow, etc.
    • SQL (with Trino)
    • NoSQL, DynamoDB
    • Unity Catalog OSS, Apache Polaris
    • Apache Superset
    • Terraform or CloudFormation
    • OpenLineage
    • H3, PostGIS


    Benefits

    Eligibility requirements apply.

    • Employer-Paid Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA) with a generous matching program
    • Life Insurance (Basic, Voluntary & AD&D)
    • Paid Time Off (Vacation, Sick & Public Holidays)
    • Short Term & Long Term Disability
    • Training & Development
    • Employee Assistance Program

    Numbers & Facts

    LocationChantilly, Virginia

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