Data Engineer

Graham Technologies

  • Tampa, FL
  • 7 days ago
  • Full-time
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Skills

  • API Documentationunmatched
  • Agile Programming Methodologiesunmatched
  • Amazon Simple Storage Service (S3)unmatched
  • Amazon Web Services (AWS)unmatched
  • Analysis Skillsunmatched
  • Apacheunmatched
  • Apache Kafkaunmatched
  • Apache Sparkunmatched
  • Application Programming Interface (API)unmatched
  • Artificial Intelligence (AI)unmatched
  • Backlog Prioritizationunmatched
  • Business Intelligenceunmatched
  • Business Supportunmatched
  • Cloud Computingunmatched
  • Cloud Storageunmatched
  • Communication Skillsunmatched
  • CompTIA Security+unmatched
  • Computer Programmingunmatched
  • Computer Scienceunmatched
  • Consultingunmatched
  • Continuous Improvementunmatched
  • Cross-Functionalunmatched
  • Data Lakeunmatched
  • Data Managementunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Qualityunmatched
  • Data Scienceunmatched
  • Data Warehousingunmatched
  • Database Analysisunmatched
  • Database Extract Transform and Load (ETL)unmatched
  • DoD Directive 8140unmatched
  • DoD Directive 8570unmatched
  • Documentation Standardsunmatched
  • Engineeringunmatched
  • Enterprise Applicationsunmatched
  • Enterprise Data Integrationunmatched
  • Federal Governmentunmatched
  • Governmentunmatched
  • Identify Issuesunmatched
  • Information Technology & Information Systemsunmatched
  • Information/Data Security (InfoSec)unmatched
  • Insuranceunmatched
  • Internet Securityunmatched
  • Interoperabilityunmatched
  • Knowledge Transferunmatched
  • Logisticsunmatched
  • Machine Learningunmatched
  • Mathematicsunmatched
  • Metadataunmatched
  • Microsoft Certificationsunmatched
  • Microsoft Windows Azureunmatched
  • NoSQLunmatched
  • Power BIunmatched
  • Predictive Modelingunmatched
  • Presentation/Verbal Skillsunmatched
  • Problem Solving Skillsunmatched
  • Product Demonstrationunmatched
  • Python Programming/Scripting Languageunmatched
  • Qlikunmatched
  • Reporting Dashboardsunmatched
  • SQL (Structured Query Language)unmatched
  • SQL Databasesunmatched
  • Scalable System Developmentunmatched
  • Software Administrationunmatched
  • Software Developmentunmatched
  • Sprint Planningunmatched
  • Standard Operating Procedures (SOP)unmatched
  • Streaming Technologyunmatched
  • Structured Dataunmatched
  • Supply Chainunmatched
  • Systems Engineeringunmatched
  • Tableauunmatched
  • Team Buildingunmatched
  • Technical Writingunmatched
  • Top Secret Clearanceunmatched
  • Training Data Setsunmatched
  • Unstructured Dataunmatched
  • Writing Skillsunmatched

Description

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. The successful candidate will build secure, scalable cloud-based data pipelines, integrate data from multiple sources, and enable predictive analytics, artificial intelligence, and machine learning capabilities. This role also supports business intelligence initiatives by preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer.LocationTampa, FloridaResponsibilities Design, develop, and maintain scalable enterprise data pipelines supporting high-volume logistics data. Develop ETL/ELT processes that integrate data from multiple enterprise logistics systems into centralized cloud-based data repositories. Build and optimize data lake architectures supporting structured and unstructured data. Develop batch and streaming data pipelines utilizing technologies such as Apache Kafka, Apache Airflow, and Apache NiFi. Design and implement cloud-native storage and compute solutions within AWS or Azure environments. Develop secure data architectures that comply with Department of Defense cybersecurity requirements. Implement data governance, metadata management, data lineage, audit trails, and data quality controls. Develop and maintain SQL and NoSQL databases supporting enterprise analytics. Design and implement APIs supporting enterprise data integration and interoperability. Collaborate with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models. Develop reusable data models that support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar visualization platforms. Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure. Create technical documentation including architecture diagrams, data dictionaries, interface specifications, API documentation, and standard operating procedures. Participate in knowledge transfer activities and technical training sessions for Government personnel. Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews. Collaborate with cross-functional engineering teams to continuously improve enterprise data capabilities.Required QualificationsActive Top Secret with the ability to attain a SCI Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline. Minimum five (5) years of professional Data Engineering experience. Experience designing and implementing enterprise ETL/ELT data pipelines. Strong programming experience using Python. Advanced SQL development experience. Experience with NoSQL databases. Experience with Apache Kafka or similar streaming technologies. Experience with Apache Spark. Experience with Apache Airflow, Apache NiFi, or comparable orchestration tools. Experience designing and supporting cloud-based data solutions using AWS or Azure. Experience implementing enterprise data governance, metadata management, and data quality processes. Experience integrating data from multiple enterprise applications using APIs. Strong analytical, troubleshooting, and problem-solving skills. Excellent written and verbal communication skills.Preferred QualificationsExperience supporting Department of Defense or Federal Government programs.Experience supporting logistics, supply chain, sustainment, or operational data environments.Experience with AWS S3, Azure Blob Storage, AWS KMS, or Azure Key Vault.Experience developing enterprise data lakes or modern data warehouse solutions.Experience supporting business intelligence and dashboard development.Experience with containerized applications and DevSecOps pipelines.AWS or Microsoft Azure Cloud Certification.Security+ or other DoD 8570/8140 certification.CompensationAt Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.Here are just a few highlights of what we offer:Four Weeks of Accrued PTO in the First YearEleven Paid Federal HolidaysComprehensive Health, Dental, Vision, and Life Insurance401(k) Plan with Annual Employer ContributionsFlexible SchedulesReimbursements for Continued Education and TrainingWhy Graham Technologies?Our core values define who we are:Value our CustomersCare about our EmployeesPassionate about InnovationBelieve in a Strong Work EthicRely on TeamworkIntegrity MattersFounded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.

Numbers & Facts

LocationTampa, FL
Job TypeFull-time

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