Data Engineer II

Responsibilities

• Design, build, test, and maintain scalable data pipelines and workflows for ingesting, transforming, and delivering structured and unstructured data
• Develop and optimize data models, integration patterns, and storage solutions to support analytics, reporting, and operational use cases
• Collaborate with cross-functional stakeholders to define data requirements, troubleshoot issues, and implement data quality controls
• Configure and maintain the AIE Accessions Ontology
• Build and manage data pipelines from AIE Salesforce and MuleSoft into the Vantage Foundry platform
• Develop AI-integrated applications and workflows using AIP and Workshop
• Enable self-service analytics and dashboard capabilities for USAREC command and staff

Preferred

• Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 1+ years of experience with workflow orchestration tools such as Apache Airflow
• 1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift
• 1+ years of experience with version control and continuous integration tools
• 1+ years of experience supporting data quality, metadata, and data lineage processes
• 1+ years of experience working in Agile delivery environments

Benefits

• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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Qualifications

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 3+ years of experience designing, building, and maintaining data pipelines and ETL/ELT workflows
• 3+ years of experience using SQL, Python, and PySpark for data ingestion, transformation, and automation
• 1+ years of experience using Palantir Foundry, including Pipeline Builder and Ontology-based data modeling
• 1+ years of experience monitoring data pipelines, troubleshooting issues, and supporting data quality and system reliability
• Must possess an active U.S. Secret security clearance and be able to maintain it for the duration of employment and assignment
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Master's degree in Computer Science, Computer Engineering, Software Engineering, Information Systems, Data Science, or a quantitative field
• 1+ years of experience with workflow orchestration tools such as Apache Airflow
• 1+ years of experience with data warehousing platforms such as Snowflake, Databricks, or Amazon Redshift
• 1+ years of experience with version control and continuous integration tools
• 1+ years of experience supporting data quality, metadata, and data lineage processes
• 1+ years of experience working in Agile delivery environments

Required skills

• Apache Airflow, Data Pipelines, Data Quality Management, Data Warehousing, ETL/ELT, Ontology-Based Data Modeling, Palantir Foundry, PySpark, Python, SQL, U.S. Secret Security Clearance

Experience

• 3+ years