Data/ETL Engineer (Senior)

Qualifications

Required Qualifications

The following must-have qualifications are drawn from the supplied position requirements

• Active Secret clearance or higher.
• Minimum of eight years of relevant professional experience.
• Bachelor’s degree in computer science, information systems, or a related field, or a permitted equivalent.
• Experience maintaining and supporting SQL Server Integration Services (SSIS).
• Strong SQL and Python skills.
• Experience building or supporting API integrations.
• Experience implementing incremental data loads.
• Experience performing data reconciliation and managing schema changes.
• Experience documenting and maintaining data lineage.
• Experience troubleshooting complex data pipelines.
• Ability to implement raw, standardized, and curated data layers.
• CompTIA Security+ CE or another approved IAT Level II certification when applicable to assigned duties.

• Sustain, troubleshoot, and optimize SSIS packages, configurations, schedules, and dependencies.
• Develop and maintain approved integrations between source systems, databases, APIs, analytical environments, and reporting platforms.
• Write SQL queries, stored procedures, transformations, and reconciliation routines.
• Develop Python scripts for data ingestion, processing, validation, orchestration, and operational automation.
• Implement raw, standardized, and curated data layers with documented transformation rules.
• Build and maintain incremental loads, including checkpoints and tracking of previously processed data.
• Implement API authentication, pagination, retry handling, logging, and error processing.
• Reconcile source and target data using record counts, totals, completeness checks, and business rules.
• Manage schema changes and assess their effects on pipelines, datasets, integrations, and reporting outputs.
• Maintain source-to-target mappings, identifier mappings, metadata, and data lineage.
• Implement controls for duplicate, missing, invalid, or failed records and support controlled reprocessing.
• Monitor pipeline execution, data freshness, processing performance, and operational errors.
• Investigate complex failures involving SSIS, SQL, APIs, source data, transformations, and downstream dependencies.
• Implement approved corrections and validate successful processing and reconciliation.
• Coordinate changes with database, application, governance, AI/ML, BI, and testing teams.
• Support automated regression testing, data-quality checks, defect resolution, and release validation.
• Maintain version-controlled code, deployment instructions, rollback procedures, and operational runbooks.
• Provide technical status, troubleshooting findings, risks, and improvement recommendations to the technical lead and Government stakeholders.

• Relevant data engineering or cloud platform certification.
• Experience supporting federal or Department of Defense data environments.
• Experience with enterprise data warehouses, analytical datasets, BI platforms, or AI-ready data.
• Experience modernizing SSIS packages or migrating integrations to approved cloud services.
• Familiarity with data governance, metadata repositories, common identifiers, and authoritative sources.
• Experience developing automated reconciliation tests, data-quality checks, and pipeline regression tests.
• Experience with CI/CD, version control, automated deployment, and rollback processes.
• Familiarity with secure service accounts, secrets management, encryption, and audit logging.
• Strong troubleshooting, documentation, communication, and cross-team coordination skills.

• 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.