Data Engineer - Hybrid
Posted Updated 5
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Summary
Hybrid Data Engineer at LDSS (a federal services contractor) supporting the Air Force's Maintenance, Repair, and Overhaul program at Wright-Patterson AFB. Day to day, the role builds ETL pipelines and data models with Databricks, Apache Spark, and Python, works with AWS (S3), manages SharePoint data via Microsoft Graph, and collaborates with SMEs on legacy-to-modern data transformations.
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 – Acting ethically and transparently while honoring commitments
- Versatility – Adaptive and anticipatory problem-solving
- Excellence – Dedicated to raising the bar of quality and performance
Summary
This is currently a hybrid position that includes participation at an in-person workshop. 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.
This is currently a hybrid position that includes participation at an in-person workshop. 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.
- 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 SharePoint data (lists, libraries, files, metadata) programmatically using Python and Microsoft Graph API[CM2]
- Leverage Microsoft 365 tools for documentation and collaboration
- Develop and maintain Amazon Web Services (AWS) including S3
- Fully utilize the Microsoft 365 environment for cross-functional data sharing and productivity
- Use Jira to track and manage issues, tasks, and project workflows
- Collaborate with cross-functional teams and technical stakeholders to define data transformations of legacy systems to modern schemas
- Leverage SME collaboration to interpret business rules and build business logic into data extracts and transformation processes
- Build and maintain strong working relationships with SME’s, helping to identify requirements for data transformations based upon iterative product feedback
Employment Eligibility Requirements:
- U.S. citizenship and eligibility to obtain and maintain a U.S. Government Secret security clearance are required.
Education:
- Bachelor’s degree in computer science, engineering, or a related field
Technical skills, hands-on experience and proficiency with:
- Databricks, Apache Spark, and cloud-based data engineering and modeling (2-3 years preferred)
- SQL for querying and managing relational data (4 years preferred)
- AWS cloud services, including S3 (3 years preferred)
- Python for data analysis, cleansing, and visualization (4 years preferred)
- SharePoint lists, document libraries, and Microsoft Graph
- Microsoft 365 apps and integration workflows
- Developing and consuming APIs for data exchange between different systems
- Jira or other agile workflow management systems for issue and project tracking
Relationship Management and Teamwork:
- Proven ability to build trust and maintain strong partnerships with customers and stakeholders
- Takes initiative and drives projects forward with minimal supervision, anticipating challenges before they arise
- Meticulous in managing complex tasks and deadlines, ensuring accuracy and consistency across deliverables
- Thrives in cross-functional environments, fostering open communication and teamwork across diverse groups
- Rapidly assimilates new technologies and processes, adapting to evolving requirements in dynamic settings
- Ability to work collaboratively with a diverse team of contractors and government personnel
- Ability to work collaboratively with a diverse team of contractors, government personnel, and stakeholders from multiple organizations
- Skilled in building strong customer relationships and engaging with Subject Matter Experts (SMEs) to derive business logic for data transformation methods and rules
Preferred Licenses/Certifications:
- AWS Certified Solutions Architect
- Databricks Certified Data Engineer
- U.S federal government security clearance
- 401(k)
- 401(k) matching
- Dental insurance
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Referral program
- Tuition reimbursement
- Vision insurance