Data Engineer - DoD/Army, Databricks & Palantir

SMX; Salem (OR); On-site; USD 85,000 - 125,000; Full time

Job summary

SMX is seeking a Data Science Consultant to support our Army Client in Salem, Oregon. You will design data solutions using Databricks (SQL, Python, PySpark) and Palantir Foundry to meet business requirements and deliver capabilities.

Responsibilities include modifying data models, defining test cases, building data models and reports from ERP datasets, and coordinating with stakeholders to translate requirements into technical specs. A Secret clearance is required.

Qualifications

• 2+ years hands on development experience.
• Proficiency in SQL, Python and PySpark.
• Experience in data engineering, data science and data analytics.
• Familiarity with Databricks and Palantir Foundry.
• Familiarity with cloud architectures (AWS/Azure).
• Ability to work cross-functionally and participate in discussions.
• Knowledge of software engineering tools and processes (estimation, issue tracking, version control, debugging).
• Proven ability to work independently and document work clearly.
• Active Secret Clearance.

Responsibilities

• Design new solutions using Databricks (SQL, Python, PySpark) and Palantir Foundry to meet business requirements.
• Modify existing data model solutions as needed.
• Define test cases and verify results to ensure correct operation.
• Build data models and reports using ERP and legacy datasets.
• Coordinate with stakeholders to translate business requirements into technical specs.

Skills

SQL

Python

PySpark

Data engineering

Data analytics

Databricks

Cross-functional collaboration

Independent work

Documentation

Active Secret Clearance

Education

Bachelor's degree in computer science or related field

Tools

Palantir Foundry

AWS

Azure

Job description

SMX is seeking a Data Science Consultant to support our Army Client in Salem, Oregon. You will design data solutions using Databricks (SQL, Python, PySpark) and Palantir Foundry to meet business requirements and deliver capabilities.

Responsibilities include modifying data models, defining test cases, building data models and reports from ERP datasets, and coordinating with stakeholders to translate requirements into technical specs. A Secret clearance is required.