Data Engineer

Data Engineer

Andromeda Systems Incorporated (ASI) provides tools and services to assist Physical Asset Owners, Fleet Managers, and Military Program Managers in gaining critical insights into their equipment's performance, identifying system improvements, optimizing operations and support, making better business decisions, and achieving measurable life-cycle cost savings.

ASI provides unparalleled expertise and capabilities in the Reliability, Maintenance, Supportability, and Logistics disciplines. Our staff of internationally recognized leaders are shaping the industry and developing revolutionary solutions in the military and commercial sectors. Clients leverage our experience and cutting-edge analytical tools to improve asset performance and reduce life-cycle costs. As a leading provider of professional and high technology services and solutions, ASI serves the Department of Defense, U.S. civilian agencies, and private industry.

ASI is seeking a highly-skilled Data Engineer to join the data engineering team in our Jacksonville, FL office. This role focuses on designing, architecting, and optimizing robust data pipelines and cloud-based data systems that support analytics, dashboards, operational software applications, and mission-critical customer deliverables.

As a Data Engineer, you will act as a technical leader within the data engineering group. You will work closely with customers, software developers, and cross-functional data professionals to translate complex requirements into scalable, production-ready data solutions.

Responsibilities:

• Architect, design, and implement scalable, secure data pipelines and ETL/ELT workflows to ingest data into AWS cloud environments
• Lead the development of data architectures supporting analytics, dashboards, and operational systems, ensuring reliability, performance, and maintainability
• Collaborate with software engineering teams to clean, migrate, and replicate data into and within SQL Server environments
• Engineer solutions to integrate, transform, and harmonize data from diverse structured and unstructured sources
• Optimize data storage systems, warehouse/lake environments, and relational database performance
• Serve as a senior technical resource to junior and mid-level data engineers, offering mentorship and guiding architectural decisions
• Work directly with customers to clarify requirements, present technical concepts, set expectations, and deliver actionable insights
• Uphold data governance and data quality processes to ensure trustworthiness and traceability
• Support development of customer-facing dashboards and analytics by providing high-quality, well-curated datasets
• Drive continuous improvement in pipeline automation, monitoring, and reliability

Required Qualifications:

• Bachelor's or Master's degree in computer science, information systems, data engineering, or related discipline
• 3+ years of experience building and delivering production-grade data pipelines using cloud, Python, and SQL technologies
• Demonstrated ability to design strong data pipeline architecture for scalable ingestion, transformation, and analytics
• Proficiency in Python, SQL, and modern cloud data flows (AWS preferred)
• Experience manipulating, cleansing, and replicating data within relational databases, including SQL Server
• Experience supporting data ingestion and transformation processes for analytics or dashboard development
• Ability to collaborate with cross-functional teams consisting of data engineers, analysts, software developers, and customers to deliver complete, high-quality products
• Strong communication and customer-facing skills; able to clearly articulate technical concepts and set realistic expectations
• Occasional evening or weekend work may be required to support critical deliverables

Preferred Qualifications:

• Prior military experience or experience supporting DoD systems
• AWS experience or certification (Solutions Architect, Data Engineer, or Developer)
• Experience with distributed data processing platforms (Spark, Databricks, or Hadoop)
• Experience with SQL and NoSQL systems
• Experience supporting or enabling dashboard or BI development using Qlik and Tableau
• Familiarity with data warehousing, metadata management, and real-time or batch streaming systems
• Knowledge of Evolve-based data migration processes, including planning, executing, and validating migrations using Evolve tools
• Experience working in highly collaborative, customer-focused technical environments

At ASI, we understand that everyone's journey is different. If you are not sure if your experience meets the requirements, we encourage you to apply. We are interested in what you have to offer.

Work Authorization/Security Clearance:

• Must be a U.S. Citizen
• Must be able to obtain a Secret Clearance

Benefits and Compensation:

• 401(k) plan with immediate 100% vesting and 4% discretionary match
• Paid leave including PTO, holiday, bereavement, and military
• Generous medical, dental, and vision insurance for employees and their families
• Health and dependent care FSA
• Company-provided life/AD&D, as well as supplemental life and disability insurance
• TRICARE Supplement
• Employee Assistance Program
• Tuition assistance and professional development
• Bonus programs

AAP/EEO Statement

Andromeda Systems Incorporated is an Equal Employment Opportunity employer. As such, 41 CFR 60-1.4(a), 41 CFR 60-300.5, 41 CFR 60-741.5 as well as 29 CFR Part 471, Appendix A to Subpart A are herein incorporated by reference, to the extent applicable.

This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.