Data Integration / ETL Engineer

Overview DecisionPoint seeks a Data Integration / ETL Engineer to support secure enterprise data flows across a federal and DoD-aligned mission environment. This role is responsible for building, maintaining, and optimizing ETL pipelines, data ingestion processes, transformation routines, metadata handling, and data quality assurance in support of analytics, reporting, and mission-critical applications. The Data Integration / ETL Engineer ensures secure, efficient, and reliable data movement across cloud and on-premise systems while supporting the analytics team with well-structured, clean, and validated datasets. This role plays a key part in enabling data-driven decision-making across the enterprise. This position is fully remote. Duties & Responsibilities The Data Integration / ETL Engineer will: Design, build, and maintain ETL pipelines to support secure and efficient data ingestion, transformation, and delivery. Develop and optimize data workflows supporting analytics, dashboards, reporting, and enterprise applications. Implement data cleansing, validation, deduplication, error handling, and enrichment logic. Manage data migrations, schema mapping, and data integration across cloud and on-prem systems. Apply secure data handling, encryption, and IL5-compliant data flow controls. Perform root cause analysis for data pipeline failures, bottlenecks, and data quality issues. Collaborate with the analytics team to structure data models and optimize datasets for analysis. Maintain metadata, data dictionaries, and documentation supporting data governance activities. Support DevSecOps workflows with automated data processes and version-controlled transformations. Monitor pipeline performance, storage utilization, and processing efficiency. Coordinate with cybersecurity teams to ensure audit trails, logging, and compliance with RMF data-related controls. Support the development and maintenance of dashboards and analytics environments with curated datasets. Qualifications Clearance Requirement Must hold an active Top Secret clearance, supported by a Tier 5 background investigation. Education (Required) Bachelor’s degree in Data Engineering, Computer Science, Information Technology, Information Systems, or a related field. Experience (Required) Minimum 5 years of experience in ETL engineering, data integration, or data engineering. Experience building and maintaining ETL pipelines and data ingestion workflows. Experience performing data cleansing, validation, transformation, and quality assurance. Experience working in secure federal or DoD environments, or similar high-security data settings. Experience troubleshooting ETL failures, performance issues, and schema mismatches. Technical Knowledge (Required) Proficiency with ETL platforms, scripting languages, and data pipeline frameworks (Python, SQL, ETL tools, etc.). Strong SQL skills including complex queries, joins, aggregates, and transformations. Knowledge of cloud-based data pipelines and storage solutions (AWS preferred). Understanding of data governance, metadata management, and secure data handling practices. Familiarity with RMF, IL5 data security requirements, and audit log standards. Technical Knowledge (Preferred) Experience with data warehouse platforms, big data systems, or streaming ingestion. Experience with DevSecOps pipelines, Git-based version control, and CI/CD integrations. Familiarity with business intelligence tools and analytics environments. Certifications Required: CompTIA Security+ Preferred: AWS Data Analytics or AWS Database certifications CISSP or CCSP Skills Strong analytical and data problem solving abilities. Excellent attention to detail and data accuracy. Ability to design efficient, scalable data workflows. Clear communication skills for collaborating with analytics, development, and cybersecurity teams. Ability to manage multiple pipelines and priorities in a fast-paced mission environment. 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.