Data & Software Engineer - End-to-End Pipelines (Python,AWS)

Hoplite Solutions LLC

McLean (VA)

Vor Ort

USD 140.000 - 190.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Hoplite Solutions LLC in McLean, VA is seeking a Data and Software Engineer to join our team. The role focuses on building complex data flows for a custom application, leveraging Python and Spark in production pipelines.

Cloud, SQL/NoSQL, and data governance experience are essential. The candidate will work with a small team to design, deploy, and optimize data solutions, including ETL workflows, data lineage, and geospatial data handling.

Qualifikationen

  • Minimum of 5 years of experience in data engineering or software engineering roles.
  • Strong Python experience with Pandas/NumPy for data processing.
  • Hands-on with Spark ecosystems, ETL, and data pipelines.
  • Experience with cloud deployments, containers, and CI/CD workflows.

Aufgaben

  • Design and implement end-to-end data pipelines for complex analytical workloads.
  • Optimize pipelines for quality, reliability, and scale with minimal oversight.
  • Collaborate with stakeholders to translate data needs into robust solutions.
  • Document patterns, best practices, and data governance considerations.

Kenntnisse

Advanced Python
Data engineering
Problem solving

Tools

Apache Spark
PySpark
Docker
Podman
AWS S3
Lambda
Step Functions
Apache Iceberg
Airflow
SQL
Trino
NoSQL
DynamoDB
UnityCatalog OSS
Apache Polaris
Apache Superset
Terraform
CloudFormation
OpenLineage
H3
PostGIS

Jobbeschreibung

Hoplite Solutions LLC in McLean, VA is seeking a Data and Software Engineer to join our team. The role focuses on building complex data flows for a custom application, leveraging Python and Spark in production pipelines.

Cloud, SQL/NoSQL, and data governance experience are essential. The candidate will work with a small team to design, deploy, and optimize data solutions, including ETL workflows, data lineage, and geospatial data handling.

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