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PingWind

Cybersecurity, IT, and supply chain services

AI Solution Engineer-Ops

Data EngineeringConfirmed live in the last 24 hours
Full-time$121k - $169k

About the Job

Requirements

  • A minimum of 4 years of experience in data science, analytics engineering, machine learning operations, or artificial intelligence.
  • Proficiency in Python, SQL, and data pipeline tools such as Airflow, Spark, pandas, or dbt; working knowledge of relational and cloud data platforms such as PostgreSQL or Snowflake.
  • Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources.
  • Familiarity with machine learning model deployment and monitoring in cloud environments such as AWS or Azure.
  • Experience working under technical oversight in an integrated government delivery team.
  • Strong documentation practices and ability to maintain auditable process records.

Responsibilities

  • Execute ETL pipelines for supply chain data ingestion, including customer technical data packages, transformation, and loading into the Exiger environment.
  • Run and monitor machine learning model inference jobs, flagging anomalies and performance degradation to the lead.
  • Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks such as Airflow, Spark, dbt, or equivalent tools.
  • Produce analytics outputs that feed Red Team vulnerability assessments and Blue Team mitigation planning.
  • Participate in data quality validation workflows and contribute to confidence scoring documentation.
  • Support iterative analytics configuration releases based on Government feedback cycles.
  • Maintain pipeline documentation, run logs, and provenance records according to program governance standards.

Desired Qualifications

  • Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources.
  • Familiarity with machine learning model deployment and monitoring in cloud environments such as AWS or Azure.
  • Experience working under technical oversight in an integrated government delivery team.
  • Strong documentation practices and ability to maintain auditable process records.
  • Experience with supply chain data, entity resolution, or risk analytics.
  • Familiarity with government data handling requirements, including CUI and NIST 800-171.
  • Experience with containerized deployments using Docker or Kubernetes.
  • Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments.

About the Company

PingWind

Cybersecurity, IT, and supply chain services

PingWind is a service provider that combines cybersecurity, information technology, and supply chain services to help clients secure information, modernize systems, and optimize performance. It offers services rather than a single product, applying its CVE certification to security work. The company’s solutions work by assessing and protecting information systems, upgrading and integrating IT infrastructure, and improving supply chain resilience, with a focus on reducing risk and increasing efficiency. PingWind differentiates itself through its SDVOSB and HUBZone certifications, signaling veteran-owned status and eligibility for government contracts, along with a specialized blend of cybersecurity, IT, and supply chain expertise. The company’s goal is to help clients secure information, modernize their technology environments, and optimize operational performance.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Washington DC, District of Columbia
Founded
2012

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