Data Engineer

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Overview

DecisionPoint Corporation is actively seeking a Data Engineer to play a crucial role in designing, developing, and maintaining secure data pipelines that are essential to support enterprise systems within a vital Department of Defense (DoD) modernization initiative. Given the sensitive nature of this project, candidates will need to have an active Top Secret clearance. This position exemplifies the convergence of data engineering with advanced technologies, aimed at enhancing various operational facets of federal environments.

Key Responsibilities

The Data Engineer will be expected to fulfill a variety of critical duties, which include:

• Designing, implementing, and maintaining data pipelines and ETL processes that manage the ingestion, transformation, and validation of mission-critical data.

• Developing and optimizing data models and schemas leveraged across relational and non-relational databases, which are indispensable for effective system integrations and analytics.

• Collaborating closely with system architects, integration developers, and data analysts to guarantee data consistency, security, and integrity across multiple cloud environments, thereby allowing for smoother interoperability.

• Supporting data migration and synchronization efforts, which involve transitioning legacy systems and applications to modern cloud platforms.

• Utilizing AWS services, such as Glue, Lambda, S3, RDS, and Redshift, to establish and maintain scalable, fault-tolerant data infrastructures.

• Engaging in both data validation and reconciliation, conducting thorough quality checks while developing comprehensive reports to ensure data accuracy.

• Integrating data from various sources, including APIs, streaming inputs, and file-based systems into centralized repositories or data lakes.

• Automating data workflows through the application of infrastructure-as-code and CI/CD principles to maintain efficiency and repeatability in processes.

• Monitoring and troubleshooting the performance of data pipelines to ensure they comply with SLAs and uphold operational reliability.

• Implementing data encryption, masking, and access controls in strict accordance with DoD cybersecurity policies and RMF requirements.

• Supporting the development of dashboards and analytics products, enabling data-driven insights critical for mission stakeholders.

• Maintaining documentation for all processes and updates carried out, including data dictionaries, lineage, and essential technical specifications.

• Actively participating in Agile sprints and contributing to backlog refinement, testing, and cross-functional collaboration with other departments.

Qualifications

Several qualifications must be met for the Data Engineer position:

Clearance Requirement

• Must hold an active Top Secret clearance to be eligible for this role.

Education

• A Bachelor’s degree in Computer Science, Information Systems, or a related technical field is mandatory.

Experience

• A minimum of 5 years of experience in data engineering, system integrations, or analytics enablement is required.
• Proven experience in building and optimizing data pipelines, preferably in enterprise or federal environments.
• Familiarity with Agile software development and DevSecOps delivery frameworks.

Technical Knowledge

• Proficiency in programming languages such as Python and SQL, along with familiarity in using ETL frameworks (e.g., Apache NiFi, Talend, or AWS Glue).
• Experience with cloud data services, chiefly AWS GovCloud options like RDS, S3, Lambda, and others.
• An understanding of various database management systems like PostgreSQL, SQL Server, DynamoDB, and MongoDB.
• Familiarity with RESTful API integrations and data exchange formats (JSON, XML, CSV) is preferred.
• Knowledge about DoD data security and compliance standards, specifically regarding encryption, RMF, and STIG adherence.
• Skills in developing and maintaining data validation, profiling, and transformation scripts are beneficial. Experience in data visualization and analytics tools (Power BI, Tableau, QuickSight) is also a plus.

Certifications (Preferred)

• AWS Certified Data Engineer – Associate or AWS Certified Developer.
• CompTIA Security+ CE or an equivalent DoD 8570 certification may be essential.
• Certified Data Management Professional (CDMP) or similar qualifications would be advantageous.

Skills

• The ideal candidate should possess strong analytical and problem-solving skills with an emphasis on data integration and performance tuning.
• Excellent communication and collaboration skills are fundamental for coordination across technical and functional teams.
• Attention to detail is critical for ensuring data accuracy and consistency, making it essential for the applicant to balance data governance, security, and performance objectives effectively.
• A commitment to continuous improvement driven by data-oriented decision-making is encouraged.

Company Culture and Values

As part of its commitment to fair employment practices, DecisionPoint Corporation maintains a strong Equal Employment Opportunity and Affirmative Action policy. This assures that they comply fully with all applicable laws while providing an equitable workplace for all employees and applicants. Furthermore, under the Pay Transparency Policy, they uphold a transparent approach regarding pay discussions and non-discrimination against employees who inquire about compensation.

Why This Position is Unique

This role is unique due to its emphasis on supporting defense modernization initiatives. The Data Engineer's work will significantly influence how data flows across various critical applications, and the insights derived from this data are imperative for national security efforts. This makes the position not just a job but a vital contribution to the operational effectiveness of defense operations.

This job offer was originally published on himalayas.app