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Data & Software Engineer with Security Clearance

Hoplite Solutions LLCMcLean, VA🇺🇸United States

Why this role stands out

This hybrid role at Hoplite Solutions offers a fantastic opportunity to leverage your advanced Python and data pipeline expertise to build impactful solutions in a secure environment, with excellent potential for professional growth. You'll thrive here if you're a mid-senior engineer who enjoys complex data challenges and collaborating within a reputable technology firm.

Quick overview

SeniorityMid Senior
Employment typeEmployee
Work modeHybrid
LocationMcLean, VA, United States
DockerDynamoDBMySQLSQLGitApache SparkAWSETLNumPyAirflowApacheBashCloudFormationJavaPandasPythonTerraformUnityPostgreSQL

Job description

Job Description Hoplite Solutions is seeking a Data and Software Engineer to join our team at McLean, VA. 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.

Required Skills: 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

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