Data & Software Engineer

Hoplite Solutions LLC; McLean (VA); Vor Ort; USD 140.000 - 190.000; Vollzeit

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 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:

• ApacheSpark & PySpark
• AdvancedPython skills (including Pandas & NumPy)
• Docker, Podman
• AWSS3, Lambda & Step functions
• ApacheIceberg, Airflow, etc.
• SQL(with Trino)
• NoSQL, DynamoDB
• UnityCatalog OSS, Apache Polaris
• ApacheSuperset
• Terraformor CloudFormation
• OpenLineage
• H3, PostGIS