Data Engineer

About this role

<p class="p1">At <strong>Ardent</strong>, we hire people who want more than a job — they want to serve a mission that matters. Our teams support the federal government’s most critical national security and defense priorities, helping protect the nation, strengthen resilience, and advance the technologies and capabilities that keep America secure. For veterans, cleared professionals, and purpose-driven innovators, Ardent is a place to continue serving alongside a team that understands the importance of the mission and the people behind it.</p> <p class="p1">We also know top talent has choices, which is why we back our mission with benefits and flexibility that stand out: competitive pay, comprehensive health coverage, flexible PTO, federal holidays off, tuition reimbursement, professional 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 kind of flexibility and support that you need to do your best work — <strong>Ardent</strong> is where your next mission begins.</p> <hr> <p><strong>Ardent</strong> is seeking a <strong>Data Engineer</strong> to join our team.  </p> <p>This is a <strong>remote position</strong>.</p> <p><strong><u>Position Description:</u></strong></p> <p><strong>Ardent</strong> is seeking a <strong>Data Engineer </strong>supporting the design, development, and maintenance of modern data engineering solutions that enable advanced analytics, reporting, and data-driven decision-making.</p> <p data-start="356" data-end="800">The successful candidate will design and maintain scalable data pipelines, integrate data from a variety of structured and unstructured sources, and optimize enterprise data platforms. The ideal candidate has experience working with modern data architectures, cloud-based data platforms, and enterprise data management practices while collaborating closely with technical teams and stakeholders to deliver reliable, high-quality data solutions.</p> <p> </p> <p><strong><span style="text-decoration: underline;">Responsibilities and Duties:</span></strong></p> <ul> <li style="font-weight: bold;"> <h3 data-section-id="nilpnc" data-start="834" data-end="877">Data Engineering & Pipeline Development</h3> <ul data-start="878" data-end="1424"> <li data-section-id="2bfkqk" data-start="878" data-end="990">Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.</li> <li data-section-id="l3mfv9" data-start="991" data-end="1172">Ingest, transform, and integrate data from diverse sources, including flat files, JSON, XML, Excel, REST APIs, graph databases, and other structured and unstructured data formats.</li> <li data-section-id="xloxk4" data-start="1173" data-end="1298">Develop and optimize SQL and Python-based data processing solutions to support efficient data ingestion and transformation.</li> <li data-section-id="11ajega" data-start="1299" data-end="1424">Build and maintain reusable, scalable data workflows that support business intelligence, reporting, and advanced analytics.</li> </ul> <h3 data-section-id="y2n72y" data-start="1426" data-end="1454">Data Platform Management</h3> <ul data-start="1455" data-end="1871"> <li data-section-id="vblbip" data-start="1455" data-end="1587">Load, manage, and optimize data within modern data platforms, including Databricks Unity Catalog and SQL Server Managed Instances.</li> <li data-section-id="1ilalgm" data-start="1588" data-end="1649">Support both batch and streaming data ingestion frameworks.</li> <li data-section-id="4nvykf" data-start="1650" data-end="1770">Implement and maintain modern Lakehouse architecture solutions to improve scalability, performance, and accessibility.</li> <li data-section-id="1kd8ex9" data-start="1771" data-end="1871">Monitor and optimize database and pipeline performance to ensure efficient processing and storage.</li> </ul> <h3 data-section-id="1ed2u5v" data-start="1873" data-end="1902">Data Quality & Governance</h3> <ul data-start="1903" data-end="2317"> <li data-section-id="mueuif" data-start="1903" data-end="2020">Implement data quality controls to ensure the accuracy, consistency, reliability, and integrity of enterprise data.</li> <li data-section-id="x1be0g" data-start="2021" data-end="2106">Maintain data lineage and metadata to support governance and regulatory compliance.</li> <li data-section-id="ojr3go" data-start="2107" data-end="2207">Apply enterprise data management (EDM) standards and best practices throughout the data lifecycle.</li> <li data-section-id="18dpfw6" data-start="2208" data-end="2317">Support data governance initiatives, including documentation, validation, and quality assurance activities.</li> </ul> <h3 data-section-id="17buuae" data-start="2319" data-end="2356">Collaboration &…