Data Engineer

About this role

### Description

Company Overview

Established in 2006, LDSS is a Woman-Owned Small Business (WOSB) based in Dayton, Ohio, with 20 years of proven success delivering high-impact solutions and services to federal agencies. LDSS is unwavering in its commitment to quality, collaboration, and delivering measurable outcomes that foster long-term success. Our thriving culture is powered by our A.C.T.I.V.E. core values:

• **Attitude** – Optimistic, hopeful, and forward-thinking
• **Compassionate Teamwork** – Respectful collaboration through self-awareness and mutual understanding
• **Integrity** – Doing the right thing, in the right way, for the right reasons
• **Versatility** – Adaptive and anticipatory problem-solving
• **Excellence** – Dedicated to raising the bar of quality and performance

Summary
This is currently a remote position with participation twice year at an in-person workshop customer. We are seeking a skilled, customer-focused Data Engineer with experience in Databricks, Apache Spark, Python, AWS, Microsoft 365, and SharePoint. Ideal candidates will have a solid grasp of supply chain logistics and prior Department of Defense experience. This position supports the Air Force’s Maintenance, Repair, and Overhaul (MRO) program to streamline depot-level operations across the Air Force Sustainment Center. If you're passionate about data-driven transformation and ready to support mission-critical operations, we'd love to hear from you.

### Key Responsibilities

• Build and optimize ETL data pipelines using Databricks and Apache Spark
• Develop scalable data models leveraging Spark Data Frames and Spark SQL for efficient querying, aggregation, and integration against numerous diverse data sources
• Utilize Python and Regular Expressions for advanced text parsing, pattern matching, and data cleansing to prepare structured datasets for downstream [CM1] ingestion
• Use APIs for seamless data exchange and automation across systems
• Manage Share...