Data Engineer
Indexed description
Location
Tampa, Florida
Responsibilities
- 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.
- Active 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.
- Experience 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.
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 Year
- Eleven Paid Federal Holidays
- Comprehensive Health, Dental, Vision, and Life Insurance
- 401(k) Plan with Annual Employer Contributions
- Flexible Schedules
- Reimbursements for Continued Education and Training
Our Core Values Define Who We Are
- Value our Customers
- Care about our Employees
- Passionate about Innovation
- Believe in a Strong Work Ethic
- Rely on Teamwork
- Integrity Matters
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.
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