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Ardent

Data Engineer

Ardent

Data Engineer developing and maintaining data engineering solutions for national security priorities support at Ardent. Designing scalable ETL/ELT pipelines and collaborating with technical teams.

Posted 7/2/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
ETLPythonSQLUnity

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.
  • 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.
  • Develop and optimize SQL and Python-based data processing solutions to support efficient data ingestion and transformation.
  • Build and maintain reusable, scalable data workflows that support business intelligence, reporting, and advanced analytics.
  • Load, manage, and optimize data within modern data platforms, including Databricks Unity 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.
  • Implement data quality controls to ensure the accuracy, consistency, reliability, and integrity of enterprise data.
  • Maintain data lineage and metadata to support governance and regulatory compliance.
  • Apply enterprise data management (EDM) standards and best practices throughout the data lifecycle.
  • Support data governance initiatives, including documentation, validation, and quality assurance activities.
  • 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 focused on fraud detection, anomaly detection, financial oversight, and other data-driven initiatives.
  • Troubleshoot and resolve data pipeline, integration, and performance issues while continuously improving existing processes.

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field (or equivalent combination of education and experience).
  • Minimum of 3 years of professional experience in data engineering or a related field.
  • Demonstrated experience designing, building, and maintaining scalable 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 variety of formats, including:
  • Flat files
  • JSON
  • XML
  • Microsoft Excel
  • REST APIs
  • Graph databases
  • Additional structured and unstructured data sources
  • Experience working with Databricks Unity Catalog, SQL Server Managed Instances, or comparable enterprise data platforms.
  • Experience with streaming and batch ingestion frameworks and modern Lakehouse architecture.
  • Strong understanding of data quality, data lineage, performance optimization, and enterprise data management principles.
  • Familiarity with data governance, data quality, and data management practices aligned with Enterprise Data Management (EDM) standards.
  • Experience supporting fraud detection, anomaly detection, financial oversight 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.
  • Must be willing to undergo a U.S. Government background investigation.

Benefits

Comp & perks
  • competitive pay
  • comprehensive health coverage
  • flexible PTO
  • federal holidays off
  • tuition reimbursement
  • professional development support
  • wellness stipends
  • culture that values and rewards hard work, dedication, and adaptability

ATS Keywords

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Hard Skills & Tools
ETL/ELT Pipeline DevelopmentSQL ProficiencyPython ProgrammingData TransformationData Quality ControlData Lineage ManagementPerformance OptimizationData GovernanceBatch Ingestion FrameworksStreaming Ingestion Frameworks
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills