Data & Software Engineer: Scalable Pipelines & Cloud Apps

Hoplite Solutions LLC

McLean (VA)

On-site

USD 120,000 - 170,000

Full time

22 hours ago
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Job summary

Hoplite Solutions LLC seeks a Data and Software Engineer to build complex data flows for a custom application in McLean, VA. The role focuses on advanced Python programming, Spark/PySpark, and deploying data pipelines in cloud environments.

You will work with a small team to implement ETL workflows at scale, containerize apps, and integrate AI/ML services while ensuring data security and governance. This position requires 5+ years of hands-on data engineering experience and strong collaboration

Qualifications

  • Minimum of 5 years' experience with Apache Spark & PySpark and advanced Python skills (Pandas/NumPy).
  • Experience containerizing applications with Docker/Podman and deploying in AWS environments.
  • Proficient in SQL (Trino) and NoSQL (DynamoDB) with data modeling and performance tuning.
  • Familiar with data catalogs, data lineage, and geospatial data processing.
  • Experience with ETL, data pipelines, and orchestration (Airflow, OpenLineage).
  • Infrastructure as code experience with Terraform or CloudFormation.

Responsibilities

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

Skills

Python
PySpark
SQL
NoSQL (DynamoDB)
Bash scripting
Pandas
NumPy
Spark
Geospatial data handling

Tools

Docker
Podman
AWS S3
Lambda
Step Functions
Apache Iceberg
Airflow
Trino
PostgreSQL
NoSQL DynamoDB
Unity Catalog OSS
Apache Polaris
Apache Superset
Terraform
CloudFormation
OpenLineage
H3
PostGIS

Job description

Hoplite Solutions LLC seeks a Data and Software Engineer to build complex data flows for a custom application in McLean, VA. The role focuses on advanced Python programming, Spark/PySpark, and deploying data pipelines in cloud environments.

You will work with a small team to implement ETL workflows at scale, containerize apps, and integrate AI/ML services while ensuring data security and governance. This position requires 5+ years of hands-on data engineering experience and strong collaboration

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