Location: Huntsville, AL or Washington, DC
Required Clearance: TS/SCI Eligible
Required Education: HS/GED
Required Experience: Minimum 4 years of experience in data engineering, ML engineering, or analytics platform development
Hybrid: 3 days of onsite/ 2 days remote
Position Description:
This position focuses on AI/ML and data execution within the platform engineering branch, including data ingestion automation, model integration into the Command Center platform, and analytics feature development. The engineer works under the governance of an Exiger Solution Architect, contributing to sprint-based platform releases
Responsibilities:
• Integrate AI/ML models into the Command Center platform via APIs, graph database layers, and automated pipelines
• Develop and maintain data ingestion automation for new data sources directed by the Government
• Build analytics features and data processing modules per platform architecture standards
• Participate in sprint-based development cycles with code review, automated testing, and CI/CD deployment pipeline.
• Support interoperability interface development and documentation
• Maintain code quality, test coverage, and deployment documentation per platform standards
• Collaborate with the operations branch AI engineer on shared data pipeline components
Minium Qualifications
• Proficiency in Python, SQL, and at least one additional back-end language (Java, Scala, or Go); experience with data pipeline frameworks and relational/cloud data platforms (PostgreSQL, Snowflake, or equivalent)
• Experience integrating ML models into production platforms and APIs
• Familiarity with cloud-based analytics platforms, REST APIs, graph databases (Neo4j, Amazon Neptune, or equivalent), and data visualization tools
• Experience in sprint-based development environments with code review, version control (Git), and DevOps-oriented release processes
• Demonstrated DevOps practices: CI/CD pipeline design and maintenance (GitHub Actions, GitLab CI, Jenkins, or equivalent), containerization (Docker/Kubernetes), infrastructure-as-code, and automated testing/deployment workflows
Desired Qualifications
• Bachelor’s Degree
• Experience with graph database modeling, entity resolution pipelines, or knowledge graph technologies (Neo4j, Amazon Neptune, TigerGraph, or equivalent) in production environments
• Familiarity with government cloud environments (FedRAMP, AWS GovCloud)
• Experience with data visualization libraries (D3.js, Plotly)
• Experience with infrastructure-as-code tools (Terraform, CloudFormation, or Pulumi) and monitoring/observability platforms
About PingWind
PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL.
www.PingWind.com
Our benefits include:
· Eleven Federal Holidays
· Paid Time Off accrued each pay period
· Parental Leave
· Three medical plan choices with generous employer contribution
· Dental and Vision Insurance
· Company paid Short-Term and Long-Term Disability
· Company paid Life and AD&D Insurance
· 401k with competitive matching and vesting schedule
· Continuing education assistance
· Short Term / Long Term Disability & Life Insurance
· Medical, Dependent Care and Commuter Flexible Spending Accounts
· Employee Assistance Program
· Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
· 529 College Savings Plan
· Legal Insurance
· Pet Insurance
Veterans are encouraged to apply
PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law
Skills Required
- Minimum 4 years of experience in data engineering, ML engineering, or analytics platform development
- Proficiency in Python, SQL, and at least one additional back-end language (Java, Scala, or Go)
- Experience integrating ML models into production platforms and APIs
- Familiarity with cloud-based analytics platforms, REST APIs, and graph databases (Neo4j, Amazon Neptune, or equivalent)
- Experience in sprint-based development environments with code review and DevOps processes
What We Do
Secure. Modernize. Optimize. PingWind is a CVE certified Service Disabled Veteran Owned Small Business (SDVOSB). We combine cybersecurity, information technology, and supply chain services to help our clients secure information, modernize systems, and optimize performance. Visit our webpage at www.PingWind.com for more information.
