Data/Technology Enablement – Data Engineer – USTRANSCOM JFOSS
- Scott AFB, IL, United States
Full-time
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Job details
- Job type
- Full-time
- Posting language
- English
- Posted
Original job description
Summary Location: Scott AFB, Illinois Work Type: On-site Job Type: Full-time, permanent Job Title: Data/Technology Enablement – Data Engineer Experience: Data engineering, scalable pipelines, cloud and distributed systems, and production data environments. Security Clearance: Interim Secret security clearance or higher Program Name: USTRANSCOM JFOSS Agency Name: U.S. Transportation Command (USTRANSCOM) BizFirst is assisting our client with recruiting for the Data/Technology Enablement – Data Engineer role supporting USTRANSCOM JFOSS. Our client is a boutique consulting firm that employs consultants and professionals with unique skill sets to support the federal government with strategic execution, financial process enablement, IT systems, and Enterprise Resource Planning (ERP) software implementation. What will you do Design, build, and optimize data solutions from initial design through delivery. Develop pipelines and analytics tools, review code, and support production data environments.
Responsibilities
Rapidly architect, design, prototype, implement, and optimize software systems to address data access, data management, and data science needs. Develop modular code to solve real-world problems following industry best practices. Be a core player in the technical process from ideation to delivery. Research, experiment with, and utilize leading data platforms and container methodologies to migrate and/or scale cloud data solutions. Build pipelines and scalable analytic tools using leading technologies (for example, Hadoop, Spark, Kafka, Kubernetes, Terraform, Airflow, AWS, Azure, and GCP). Regularly conduct peer code reviews to ensure code quality, provide expert documentation, and provide operating guidance for users of all levels. Champion high-quality software using test-driven development (TDD) and other quality control approaches. Stay current on industry needs and technology trends by growing and participating in cross-disciplinary communities. Develop engineering designs that impact business performance. Translate between business and technical stakeholders. Leverage a technical background to lead technical work and build client relationships.
Requirements
Bachelor’s degree. Interim Secret security clearance or higher. Experience with programming languages and the ability to learn new languages and technologies quickly. Ability to rapidly ingest, transform, engineer, and visualize data for both ad hoc and product-level automated data and analytics solutions. Understanding of cloud and distributed systems principles, including load balancing, networks, scaling, and in-memory versus disk processing. Experience with large-scale big data methods, including the Hadoop stack, cloud, and Kubernetes. Comfort working in a Unix terminal and maintaining a production data environment, including database migrations, artifact infrastructure, and code deployment. Ability to design and implement data pipelines and scalable analytics tools, conduct peer code reviews, and apply test-driven development and other quality control approaches. Ability to produce technical documentation and user guidance, communicate with business and technical stakeholders, and lead technical work. Desired Skills Python and Scala experience preferred. Benefits provided by our client Family Health Care (54% cost covered for the entire family) Family Dental (54% cost covered for the entire family) Family Vision (54% cost covered for the entire family) Flexible Spending Account Overutilization bonuses for Time and Materials (T&M) contracts Lifetime Event Bonuses (e.g., child, marriage) Profit-sharing arrangement for any work brought into the company Unlimited Leave with Approval 401k 100% employer match on first 4% invested $1,000 training budget
More about this job
Skills
- Data engineering
- Apache Hadoop
- Apache Spark
- Apache Kafka
- Kubernetes
- IBM Terraform
- Apache Airflow
- AWS
- Microsoft Azure
- Google Cloud
- Programming languages
- UNIX
- Quality control
- Documentation
- Python
- Scala