Decision Point
Data Engineer
ID
2025-3047
Job Locations
US
Category
Information Technology
Type
Regular Full-Time
Overview
DecisionPoint seeks a
Data Engineer
to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative. The Data Engineer will ensure accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. This position plays a critical role in enabling interoperability, analytics, and automation across AWS GovCloud IL2-IL5 environments through the use of scalable data engineering practices and secure DevSecOps integration. This position is fully remote. Note:
By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities
The
Data Engineer
will: Design, implement, and maintain
data pipelines and ETL processes
supporting ingestion, transformation, and validation of mission data.
Develop and optimize
data models and schemas
across relational and non-relational databases to support system integrations and analytics. Collaborate with system architects, integration developers, and data analysts to ensure
data consistency, security, and integrity
across cloud environments. Implement
data migration and synchronization
between legacy systems, applications, and modern cloud platforms. Utilize
AWS services
(Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure. Support
data validation and reconciliation , performing quality checks and developing reports to ensure accuracy. Integrate data from APIs, streaming sources, and file-based systems into centralized repositories or data lakes. Automate data workflows using infrastructure-as-code and CI/CD principles to ensure repeatability and efficiency. Monitor and troubleshoot
data pipeline performance , ensuring adherence to SLAs and operational reliability. Implement data encryption, masking, and access controls in compliance with
DoD cybersecurity policies and RMF requirements. Support development of
dashboards and analytics products , enabling data-driven insights for mission stakeholders. Maintain
documentation and metadata repositories , including data dictionaries, lineage, and technical specifications. Participate in
Agile sprints , contributing to backlog refinement, testing, and cross-functional collaboration. Qualifications
Clearance Requirement: Must hold an active
Top
Secret clearance. Education: Bachelor's degree in Computer Science, Information Systems, or a related technical field. Experience: Minimum
5 years of experience
in data engineering, integration, or analytics enablement. Experience building and optimizing
data pipelines
in enterprise or federal environments. Familiarity with
Agile software development
and DevSecOps delivery frameworks. Technical Knowledge: Proficiency with
Python, SQL, and ETL frameworks
(e.g., Apache NiFi, Talend, or AWS Glue). Experience with
cloud data services , preferably AWS GovCloud (RDS, S3, Lambda, Glue, Redshift). Knowledge of
database management systems
(PostgreSQL, SQL Server, DynamoDB, MongoDB). Familiarity with
RESTful API integration
and data exchange standards (JSON, XML, CSV). Understanding of
DoD data security and compliance standards , including encryption, RMF, and STIG adherence. Experience developing and maintaining
data validation, profiling, and transformation scripts . Exposure to
data visualization and analytics tools
(Power BI, Tableau, QuickSight). Certifications (Preferred): AWS Certified Data Engineer - Associate or AWS Certified Developer. CompTIA Security+ CE or equivalent DoD 8570 certification. Certified Data Management Professional (CDMP) or equivalent. Skills: Strong analytical and problem-solving skills for data integration and performance tuning. Excellent communication and collaboration across technical and functional teams. Attention to detail with focus on data accuracy and consistency. Ability to balance data governance, security, and performance objectives. Commitment to continuous improvement and mission impact through data-driven decision-making.
Our Equal Employment Opportunity Policy
EEO and Affirmative Action Policy:
DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. Pay Transparency Policy:
In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Authorization to Share Resume and Personal Information:
By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.
ID
2025-3047
Job Locations
US
Category
Information Technology
Type
Regular Full-Time
Overview
DecisionPoint seeks a
Data Engineer
to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative. The Data Engineer will ensure accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. This position plays a critical role in enabling interoperability, analytics, and automation across AWS GovCloud IL2-IL5 environments through the use of scalable data engineering practices and secure DevSecOps integration. This position is fully remote. Note:
By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities
The
Data Engineer
will: Design, implement, and maintain
data pipelines and ETL processes
supporting ingestion, transformation, and validation of mission data.
Develop and optimize
data models and schemas
across relational and non-relational databases to support system integrations and analytics. Collaborate with system architects, integration developers, and data analysts to ensure
data consistency, security, and integrity
across cloud environments. Implement
data migration and synchronization
between legacy systems, applications, and modern cloud platforms. Utilize
AWS services
(Glue, Lambda, S3, RDS, Redshift, Kinesis) to build and sustain scalable and fault-tolerant data infrastructure. Support
data validation and reconciliation , performing quality checks and developing reports to ensure accuracy. Integrate data from APIs, streaming sources, and file-based systems into centralized repositories or data lakes. Automate data workflows using infrastructure-as-code and CI/CD principles to ensure repeatability and efficiency. Monitor and troubleshoot
data pipeline performance , ensuring adherence to SLAs and operational reliability. Implement data encryption, masking, and access controls in compliance with
DoD cybersecurity policies and RMF requirements. Support development of
dashboards and analytics products , enabling data-driven insights for mission stakeholders. Maintain
documentation and metadata repositories , including data dictionaries, lineage, and technical specifications. Participate in
Agile sprints , contributing to backlog refinement, testing, and cross-functional collaboration. Qualifications
Clearance Requirement: Must hold an active
Top
Secret clearance. Education: Bachelor's degree in Computer Science, Information Systems, or a related technical field. Experience: Minimum
5 years of experience
in data engineering, integration, or analytics enablement. Experience building and optimizing
data pipelines
in enterprise or federal environments. Familiarity with
Agile software development
and DevSecOps delivery frameworks. Technical Knowledge: Proficiency with
Python, SQL, and ETL frameworks
(e.g., Apache NiFi, Talend, or AWS Glue). Experience with
cloud data services , preferably AWS GovCloud (RDS, S3, Lambda, Glue, Redshift). Knowledge of
database management systems
(PostgreSQL, SQL Server, DynamoDB, MongoDB). Familiarity with
RESTful API integration
and data exchange standards (JSON, XML, CSV). Understanding of
DoD data security and compliance standards , including encryption, RMF, and STIG adherence. Experience developing and maintaining
data validation, profiling, and transformation scripts . Exposure to
data visualization and analytics tools
(Power BI, Tableau, QuickSight). Certifications (Preferred): AWS Certified Data Engineer - Associate or AWS Certified Developer. CompTIA Security+ CE or equivalent DoD 8570 certification. Certified Data Management Professional (CDMP) or equivalent. Skills: Strong analytical and problem-solving skills for data integration and performance tuning. Excellent communication and collaboration across technical and functional teams. Attention to detail with focus on data accuracy and consistency. Ability to balance data governance, security, and performance objectives. Commitment to continuous improvement and mission impact through data-driven decision-making.
Our Equal Employment Opportunity Policy
EEO and Affirmative Action Policy:
DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. Pay Transparency Policy:
In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. Authorization to Share Resume and Personal Information:
By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.