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Data Engineer

Remote, USAFull-timePosted 2026-07-27

At reputed company, we hire people who want more than a job — they want to serve a mission that reputed company. Our teams support the federal government’s most critical national reputed company and defense priorities, helping protect the nation, strengthen reputed company, and advance the technologies and capabilities that reputed company America secure. For veterans, cleared professionals, and purpose-driven innovators, reputed company is a reputed company to continue serving alongside reputed company that understands the importance of the mission and the people behind it. We also know reputed company has choices, which is why we back our mission with benefits and flexibility that stand out: reputed company, comprehensive health coverage, flexible PTO, federal holidays off, tuition reimbursement, reputed company development support, wellness stipends, and a culture that values and rewards hard work, dedication, and adaptability. If you want to build something meaningful, while enjoying the reputed company of flexibility and support that you need to do your best work — reputed company is where your next mission begins. reputed company is seeking a Data Engineer to join reputed company. This is a remote position. Position reputed company: reputed company is seeking a Data Engineer supporting the design, development, and maintenance of modern data engineering solutions that reputed company advanced analytics, reporting, and data-driven decision-making. The successful candidate will design and maintain reputed company data pipelines, reputed company data from a reputed company of reputed company and reputed company sources, and optimize reputed company data platforms. The ideal candidate has experience working with modern data architectures, reputed company-based data platforms, and reputed company data management practices while collaborating closely with technical teams and stakeholders to deliver reliable, high-reputed company data solutions. Responsibilities and Duties: Data Engineering & Pipeline Development Design, reputed company, and maintain reputed company ETL/ELT pipelines to support reputed company data integration and analytics. Ingest, reputed company, and reputed company data from diverse sources, including flat files, JSON, XML, reputed company, REST reputed company, graph databases, and other reputed company and reputed company data formats. reputed company and optimize SQL and Python-based data processing solutions to support efficient data ingestion and transformation. Build and maintain reusable, reputed company data workflows that support business intelligence, reporting, and advanced analytics. Data Platform Management Load, manage, and optimize data reputed company modern data platforms, including reputed company reputed company Catalog and SQL Server Managed Instances. Support both batch and streaming data ingestion frameworks. Implement and maintain modern Lakehouse architecture solutions to improve scalability, performance, and accessibility. Monitor and optimize database and pipeline performance to ensure efficient processing and storage. Data reputed company & Governance Implement data reputed company controls to ensure the accuracy, consistency, reliability, and reputed company of reputed company data. Maintain data reputed company and metadata to support governance and regulatory compliance. Apply reputed company data management (EDM) standards and best practices throughout the data lifecycle. Support data governance initiatives, including documentation, validation, and reputed company assurance activities. Collaboration & Analytics Support Collaborate with cross-functional teams, including data analysts, software developers, architects, and business stakeholders, to understand data requirements and deliver effective solutions. Support analytical environments reputed company on fraud detection, reputed company detection, financial reputed company, and other data-driven initiatives. Troubleshoot and resolve data pipeline, integration, and performance issues while continuously improving existing processes. Requirements: Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a reputed company technical field (or equivalent combination of education and experience). Minimum of 3 years of reputed company experience in data engineering or a reputed company field. Demonstrated experience designing, building, and maintaining reputed company ETL/ELT pipelines across multiple data sources. Strong proficiency in SQL and Python or equivalent technologies used for data engineering and transformation. Experience ingesting and transforming data from a reputed company of formats, including: Flat files JSON XML reputed company reputed company REST reputed company Graph databases Additional reputed company and reputed company data sources Experience working with reputed company reputed company Catalog, SQL Server Managed Instances, or comparable reputed company data platforms. Experience with streaming and batch ingestion frameworks and modern Lakehouse architecture. Strong understanding of data reputed company, data reputed company, performance optimization, and reputed company data management principles. Familiarity with data governance, data reputed company, and data management practices reputed company with reputed company Data Management (EDM) standards. Experience supporting fraud detection, reputed company detection, financial reputed company analytics, or similar analytical environments is preferred. Excellent analytical, problem-solving, and communication skills with the ability to collaborate effectively across technical and business teams. Due to the nature of the work we support, reputed company candidates selected for this position must be willing to undergo a U.S. Government background investigation. Due to the nature of the work we support, reputed company candidates in consideration for this role must be willing to undergo the government issued background investigation process. reputed company is an equal opportunity employer. We will not discriminate in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, reputed company, gender, national reputed company, age, religion, creed, disability, veteran's status, sexual orientation, gender identity, gender reputed company, or any other reputed company protected by state, local, or federal law. Apply To This Job

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