General Dynamics Information Technology
Senior Data Engineer/ Developer
General Dynamics Information Technology, Myrtle Point, Oregon, United States, 97458
Type of Requisition: Pipeline
Clearance Level Must Currently Possess: None
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: BI Full 6C (T4)
Job Family: Data Science and Data Engineering
Job Qualifications:
Skills: AWS Big Data, Data Analytics, ETL Tools
Certifications: None
Experience: 7 + years of related experience
US Citizenship Required: No
Job Description Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.
GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Senior Data Engineer/ Developer will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives.
The Senior Data Engineer/ Developer is responsible for designing, building, testing, and maintaining scalable data engineering components and platform services that power the EDW. This role delivers high-quality, secure, and performant data pipelines, transformations, and integrations aligned with federal standards and EDW SOW objectives for modernization, analytics, and operational excellence.
Responsibilities
Develop a solution to integrate case management business data from the case management system into Snowflake EDW on a near real-time basis
Produce and maintain dimensional data models that form the basis for the data marts to satisfy the requirements of the data products
Develop and maintain downstream data marts and their corresponding ETL/ELT processes (on a near real-time basis or overnight batch depending on the individual uses case requirements) and their associated reports and dashboards
Develop and maintain comprehensive documentation including the STTMs, data models (logical and physical), design documents, testing documents and other related documents
Develop, deploy and maintain the data presentation and data reports for each of the data products using SAP Business Objects, Tableau, and/or other presentation tool(s) selected by the customer
Design and develop
data ingestion, ETL/ELT pipelines , and transformation logic for near–real-time and batch workloads
Implement
robust, reusable data services
supporting analytics, reporting, and downstream data marts
Collaborate with architects to implement
logical and physical data models
in Snowflake
Develop and maintain
high-quality, testable code
using secure coding standards and best practices
Integrate data pipelines with
cloud services, messaging, and storage
components
Implement
data quality checks, validations, and error-handling mechanisms .
Optimize pipeline performance, scalability, and cost efficiency
Support
CI/CD-enabled deployments , including automated testing and promotion across environments
Participate in
code reviews, design reviews, and sprint ceremonies
Support
incident resolution and root cause analysis
for data pipeline failures
Produce and maintain
technical documentation, runbooks, and workflows .
Ensure deliverables meet
federal security, governance, and audit requirements
Operates within an
Agile federal delivery environment
across multiple scrum teams
Collaborates closely with architects, DBAs, business analysts, and QA personnel
Accountable for
code quality, performance, and delivery timelines
Expected to maintain
audit-ready documentation and technical artifacts
Required Experience & Qualifications
Bachelor's degree in Computer Science, Computer Programming, Computer Engineering or relevant computer-based major, strongly preferred
8 years of IT related experience with 7+ years’ experience specifically in developing IT and cloud infrastructures
Experience in software engineering and design architectures
Experience and understanding of best practices regarding system security measures
Experience with building and migration software and IT services to align to strategic business needs and goals
Experience in conducting research for advanced technologies to determining how IT can support business needs leveraging software, hardware, or infrastructure
Experience with AWS data and compute services
Experience with Airflow or equivalent orchestration tools
Knowledge of cloud messaging and storage services
Proven track record in software and data engineering roles
Hands‑on experience building
enterprise‑scale data pipelines
Strong proficiency with
SQL
and data transformation techniques
Experience developing in
cloud‑based data platforms
Familiarity with
Agile/Scrum delivery environments
Experience working in
regulated or compliance‑driven environments
Experience supporting
federal EDW or analytics programs
Hands‑on experience with
Snowflake
Proficiency with
ETL/ELT frameworks
Experience with
streaming or near–real‑time data ingestion
Familiarity with
data governance, metadata, and classification standards
Experience mentoring junior developers
Certifications (Preferred)
Snowflake SnowPro Core
AWS Certified Data Analytics – Specialty
Relevant programming or data engineering certifications
Communication & Organizational
Excellent presentation and communication (oral and written) skills
Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship
Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies
Strong analytical skills and problem‑solving skills with the ability to formulate and communicate recommendations for improvement
Demonstrated ability to work effectively, independently, and as part of a team
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
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 $128,039 - $173,229. 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: 40
Travel Required: Less than 10%
Telecommuting Options: Remote
Work Location: Any Location / Remote
Additional Work Locations:
Total Rewards at GDIT: Our benefits package for all US‑based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post‑tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long‑term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. 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 50 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. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
#J-18808-Ljbffr
Clearance Level Must Currently Possess: None
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: BI Full 6C (T4)
Job Family: Data Science and Data Engineering
Job Qualifications:
Skills: AWS Big Data, Data Analytics, ETL Tools
Certifications: None
Experience: 7 + years of related experience
US Citizenship Required: No
Job Description Seize your opportunity to make a personal impact supporting the Case Management Modernization (CMM) Program. The CMM program is an initiative to support the Administrative Office of the US Courts (AO) in developing a modern cloud-based solution to support all 204+ federal courts across the United States.
GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The Senior Data Engineer/ Developer will work as part of the CMM Enterprise Data Warehouse (EDW) team to deploy a secured cloud-native EDW platform and support the statutory and operational reporting, data cataloging, and other analytical objectives.
The Senior Data Engineer/ Developer is responsible for designing, building, testing, and maintaining scalable data engineering components and platform services that power the EDW. This role delivers high-quality, secure, and performant data pipelines, transformations, and integrations aligned with federal standards and EDW SOW objectives for modernization, analytics, and operational excellence.
Responsibilities
Develop a solution to integrate case management business data from the case management system into Snowflake EDW on a near real-time basis
Produce and maintain dimensional data models that form the basis for the data marts to satisfy the requirements of the data products
Develop and maintain downstream data marts and their corresponding ETL/ELT processes (on a near real-time basis or overnight batch depending on the individual uses case requirements) and their associated reports and dashboards
Develop and maintain comprehensive documentation including the STTMs, data models (logical and physical), design documents, testing documents and other related documents
Develop, deploy and maintain the data presentation and data reports for each of the data products using SAP Business Objects, Tableau, and/or other presentation tool(s) selected by the customer
Design and develop
data ingestion, ETL/ELT pipelines , and transformation logic for near–real-time and batch workloads
Implement
robust, reusable data services
supporting analytics, reporting, and downstream data marts
Collaborate with architects to implement
logical and physical data models
in Snowflake
Develop and maintain
high-quality, testable code
using secure coding standards and best practices
Integrate data pipelines with
cloud services, messaging, and storage
components
Implement
data quality checks, validations, and error-handling mechanisms .
Optimize pipeline performance, scalability, and cost efficiency
Support
CI/CD-enabled deployments , including automated testing and promotion across environments
Participate in
code reviews, design reviews, and sprint ceremonies
Support
incident resolution and root cause analysis
for data pipeline failures
Produce and maintain
technical documentation, runbooks, and workflows .
Ensure deliverables meet
federal security, governance, and audit requirements
Operates within an
Agile federal delivery environment
across multiple scrum teams
Collaborates closely with architects, DBAs, business analysts, and QA personnel
Accountable for
code quality, performance, and delivery timelines
Expected to maintain
audit-ready documentation and technical artifacts
Required Experience & Qualifications
Bachelor's degree in Computer Science, Computer Programming, Computer Engineering or relevant computer-based major, strongly preferred
8 years of IT related experience with 7+ years’ experience specifically in developing IT and cloud infrastructures
Experience in software engineering and design architectures
Experience and understanding of best practices regarding system security measures
Experience with building and migration software and IT services to align to strategic business needs and goals
Experience in conducting research for advanced technologies to determining how IT can support business needs leveraging software, hardware, or infrastructure
Experience with AWS data and compute services
Experience with Airflow or equivalent orchestration tools
Knowledge of cloud messaging and storage services
Proven track record in software and data engineering roles
Hands‑on experience building
enterprise‑scale data pipelines
Strong proficiency with
SQL
and data transformation techniques
Experience developing in
cloud‑based data platforms
Familiarity with
Agile/Scrum delivery environments
Experience working in
regulated or compliance‑driven environments
Experience supporting
federal EDW or analytics programs
Hands‑on experience with
Snowflake
Proficiency with
ETL/ELT frameworks
Experience with
streaming or near–real‑time data ingestion
Familiarity with
data governance, metadata, and classification standards
Experience mentoring junior developers
Certifications (Preferred)
Snowflake SnowPro Core
AWS Certified Data Analytics – Specialty
Relevant programming or data engineering certifications
Communication & Organizational
Excellent presentation and communication (oral and written) skills
Consultant mindset with the ability to work with high level customer stakeholders and build excellent customer relationship
Experience identifying and applying industry tools, solutions, methods best practices, and emerging technologies
Strong analytical skills and problem‑solving skills with the ability to formulate and communicate recommendations for improvement
Demonstrated ability to work effectively, independently, and as part of a team
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
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 $128,039 - $173,229. 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: 40
Travel Required: Less than 10%
Telecommuting Options: Remote
Work Location: Any Location / Remote
Additional Work Locations:
Total Rewards at GDIT: Our benefits package for all US‑based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post‑tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long‑term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. 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 50 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. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
#J-18808-Ljbffr