Data Engineer

Centurion Consulting Group.; United States; Remote; USD 110,000 - 150,000; Full time

Job summary

Centurion Consulting Group is seeking a Data Engineer to design, build, and maintain Python- and SQL-based data pipelines and ETL workflows in a remote environment in the United States.

You will leverage AWS Lambda, Glue, and S3 to enable secure data integration, modeling, and processing while supporting government-grade compliance standards. Strong coding, documentation, and collaboration with engineers and leadership are required.

Qualifications

• Bachelor's degree or equivalent in a technical field.
• Experience translating business requirements into scalable data solutions.
• Strong problem solving and communication skills.

Responsibilities

• Build, test, and maintain Python- and SQL-based data pipelines and ETL workflows.
• Work with AWS services such as Lambda, Glue, and S3 to support data integration and processing.
• Develop and optimize database schemas, queries, and data models.
• Participate in Agile ceremonies and manage Jira tasks.
• Write technical documentation and data flow diagrams.
• Collaborate with engineers and program stakeholders to ensure secure, compliant delivery.

Skills

Agile requirements gathering

DoD experience

Government/compliance environments

Jira

Git

CI/CD

Automated testing

Data quality monitoring

Cloud-native application development

Education

Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field

Tools

Jira

Git

CI/CD

Automated testing

AWS Lambda

AWS Glue

Amazon S3

Job description

Data Engineer
Remote
Open to US Citizens only
Develop, test, and maintain Python- and SQL-based data pipelines and ETL workflows.
Support data integration solutions using AWS Lambda, AWS Glue, Amazon S3, and related services. Assist with database design, schema development, data modeling, normalization, query optimization, and data integrity controls.
Translate business and technical requirements into well-documented technical solutions.
Troubleshoot data quality, integration, and performance issues with guidance from senior team members.
Create and maintain technical artifacts, including solution documentation, interface specifications, data flow diagrams, and operational procedures.
Participate in Agile delivery activities, including backlog refinement, sprint planning, Jira tracking, testing, and issue resolution.
Contribute to code reviews and apply established development, security, testing, and documentation standards.
Collaborate with developers, architects, analysts, and program leadership to support successful delivery outcomes.
Follow applicable security, compliance, and engineering practices for government and mission-focused environments.

Preferred Skills:
Agile Requirement Gathering: Intermediate
Experience supporting Department of Defense.
Experience working in secure, compliance-driven, or government environments. Familiarity with Jira, Git, automated testing, and CI/CD practices.
Exposure to data quality monitoring, operational support, or cloud-native application development."

Day-to-day Responsibilities:
Build, test, and maintain Python- and SQL-based data pipelines and ETL workflows.
Work with AWS services such as Lambda, Glue, and S3 to support data integration and processing.
Develop and optimize database schemas, queries, and data models. Investigate and resolve data quality, integration, and performance issues.
Participate in Agile ceremonies, manage assigned Jira tasks, and provide status updates.
Write technical documentation, data flow diagrams, interface specifications, and operating procedures.
Participate in code reviews, testing, and defect resolution.
Collaborate with senior engineers, architects, analysts, and program stakeholders.
Follow established security, compliance, coding, and documentation standards.
Support delivery as an individual contributor without managing teams or owning overall technical leadership.

Expected Deliverables:
Supporting development of a modernized CaseTRAC system through technical design and development activities

Education:
Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field.
Equivalent combination of education, technical training, and relevant professional experience may be considered.
Coursework or practical training in Python, SQL, database systems, cloud computing, data engineering, or ETL development is preferred.
AWS certifications or relevant cloud training are a plus but not required. Strong problem solving and design skills
Strong communication and presentation skills
Experience with software delivery methodologies such as agile/scrum