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 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 Expertise 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 ### 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