Job Description
Job DescriptionDescriptionCompany 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 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
Skills, Knowledge and ExpertiseEducation:
- 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
Benefits
- 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