Data Engineer(Cloud/AWS, API, and ETL Pipeline Experience)

REQ#: RQ184518 Public Trust: None Requisition Type: Regular Your Impact

Own your opportunity to serve as a critical component of our nation's safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description
As a Data Engineer, you will be required to interpret business needs and select appropriate technologies and have experience in implementing data governance of shared and/or master sets of data. You will work with key business stakeholders, IT experts, and subject-matter experts to plan and deliver optimal data solutions. You will create, maintain, and optimize data pipelines as workloads move from development to production for specific use cases to ensure seamless data flow for the use case. You will perform technical and non-technical analyses on project issues and help to ensure technical implementations follow quality assurance metrics. You will analyze data and systems architecture, create designs, and implement information systems solutions.

Qualifications:

• Understanding of cloud architectures and enabling tools and technologies, such as, AWS Cloud (GovCloud/C2S).
• Familiar with Amazon Web Managed Services (AWS).
• Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar.
• Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML.
• Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis.
• Familiar with Linux/Unix server environments.
• Experience with Agile development methodology.
• Publishing and/or presenting design reports
• Coordinating with other team members to reach project milestones and deadlines
• Working knowledge with Collaboration tools, such as, Jira and Confluence.

Preferred Qualifications:

• Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
• Familiarity and experience with the Department of Homeland Security (DHS).
• Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).
• Experience with cloud message APIs and usage of push notifications.
• Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.
• Working knowledge with public keys and digital certificates.
• Experience with DevOps environments.
• Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications.
• Experience with cloud message APIs and usage of push notifications.
• Specialization in Object Oriented Programming languages, scripting, and databases.

Responsibilities:

• Define and communicate a clear product vision for our client's software products, aligning with user needs and business objectives.
• Create and manage product roadmaps that reflect both innovation and growth strategies.
• Partner with a government product owner and a product team of 7-8 FTEs.
• Develop and design data pipelines to support an end-to-end solution.
• Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).
• Integrate data pipelines with AWS cloud services to extract meaningful insights.
• Manage production data within multiple datasets ensuring fault tolerance and redundancy.
• Design and develop robust and functional dataflows to support raw data and expected data.
• Provide Tier 3 technical support for deployed applications and dataflows.
• Collaborate with the rest of data engineering team to design and launch new features.
• Coordinate and document dataflows, capabilities, etc.
• Occasionally (as needed) support to off-hours deployment such as evening or weekends.

• 5+ years of experience
• TS-SCI clearance required
• Bachelor's degree or equivalent practical experience.
• Master's degree or equivalent experience in a related field.

Skills:

• Stakeholder Management
• ETL
• Data Pipelines
• Effective Team Communication
• Product Management
• Data Engineering
• Data Management
• Master Data Management
• Agile
• Intelligence Community
• Client Engagement

GDIT IS YOUR PLACE:
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays

Work Requirements

Years of Experience

5 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $105,622 - $139,001. 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.
View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.