Type of Requisition:
RegularClearance Level Must Currently Possess:
NoneClearance Level Must Be Able to Obtain:
NonePublic Trust/Other Required:
NACI (T1)Job Family:
Cyber and IT Risk ManagementJob Qualifications:
Skills:
ETL, MongoDB, Pentaho, SQL Database QueriesCertifications:
NoneExperience:
8 + years of related experienceUS Citizenship Required:
YesJob Description:
We’re seeking a Data Engineer Senior to join our Scientific Modeling, Application, Visualization, Computational Science, Software, and Statistical Support (SMAVCS4) team to support the Environmental Protection Agency. Office of Chemical Safety and Pollution Prevention (OCSPP), a scientific organization working to support Agency decisions by providing solutions-driven research to rapidly evaluate the potential human health and environmental risks due to exposures to environmental chemicals and ensure the integrity of the freshwater environment and its capacity to support human well-being.
MEANINGFUL WORK AND PERSONAL IMPACT
The Data Engineer requires in-depth knowledge of developing and managing data analysis pipelines, including database development and statistical software programming for analyzing complex data. The successful candidate will administer and manage MySQL, PostgreSQL, and MongoDB databases to maintain optimal performance and data integrity. They will collaborate with backend teams and application development teams to design and implement ETL/ELT processes and optimize them to support EPA data needs. They will be responsible for designing and implementing highly optimized data models to ensure efficient data processing and retrieval.
WHAT YOU’LL NEED TO SUCCEED
Bring your expertise and drive for innovation to GDIT. The Data Engineer Senior must have:
● Education: Bachelor of Science
- Experience: 8+ years of related experience
● Technical skills: ETL/ELT, Python
● Security clearance level: must be able to obtain EPA Public Trust Level 4
● US citizenship required
● Role requirements: Structured Query Language (SQL), Not only SQL (NoSQL), agile methodologies; ETL platform such as Pentaho and Informatica; Data Management & Data Modeling
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
● Growth: AI-powered career tool that identifies career steps and learning opportunities
● Support: An internal mobility team focused on helping you achieve your career goals
● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
● Flexibility: Full-flex work week to own your priorities at work and at home
● Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
The likely salary range for this position is $112,840 - $145,130. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.Scheduled Weekly Hours:
40Travel Required:
Less than 10%Telecommuting Options:
RemoteWork Location:
Any Location / RemoteAdditional Work Locations:
