Data Engineer

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INflow Federal

51 - 200 employees

Founded 2013

🤖 Artificial Intelligence

🔒 Cybersecurity

🏛️ Government

Artificial Intelligence • Cybersecurity • Government

INflow Federal is a company that specializes in securing and modernizing warfighter missions through advanced analytics, secure networks, automated operations, and open-source artificial intelligence. They focus heavily on software engineering, digital infrastructure, and cyber operations. INflow Federal is dedicated to maintaining the Department of Defense's dominance by offering a secure, augmented, and automated enterprise. They prioritize a dynamic culture and value employee contributions, particularly focusing on veteran transition programs and innovative research. With operations in over 20 states, INflow Federal also serves as an AWS Marketplace CPPO Consulting Partner, facilitating the procurement of cloud products and services.

📋 Description

• 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

🎯 Requirements

• 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) • Familiarity with Agile software development and DevSecOps delivery frameworks • 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 • Preferred certifications: AWS Certified Data Engineer – Associate or AWS Certified Developer, CompTIA Security+ CE (DoD 8570), Certified Data Management Professional (CDMP) or equivalent

🏖️ Benefits

• Equal employment opportunities • Prohibits discrimination and harassment of any type • Commitment to professional growth, well-being, and innovation

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