AI Solutions Engineer — Data & ML Ops (Hybrid)

PingWind, Inc.; Huntsville (TN); Hybrid; USD 121,000 - 169,000; Full time

Benefits offered by this job

Parental Leave

Medical plan options

Dental and Vision Insurance

401k with matching

Job summary

PingWind, Inc. is seeking a data analytics engineer to execute analytics workflows, data ingestion pipelines, and ML model operations in support of the Golden Dome Supply Chain Enterprise program.

The role reports to an Exiger AI Solution Engineer lead and focuses on ETL, analytics production runs, and pipeline maintenance that feed Red Team and Blue Team analyses. The candidate should have 4+ years in data science or analytics, strong Python/SQL skills, and experience with cloud data platforms.

Qualifications

• Minimum 4 years of experience in data science, analytics engineering, ML operations, or AI
• Proficiency in Python, SQL, and data pipeline tools (Airflow, Spark, pandas, dbt, or equivalent)
• Working knowledge of relational and cloud data platforms (PostgreSQL, Snowflake, or equivalent)
• Experience with ETL/ELT processes, data transformation, and analytics production workflows
• Familiarity with ML model deployment and monitoring in cloud environments (AWS, Azure, or equivalent)
• 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 ML model inference jobs, flagging anomalies and performance degradation to the lead
• Build and maintain data pipeline automation using Python, SQL, and orchestration frameworks (Airflow, Spark, dbt, or equivalent)
• 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 per program governance standards

Skills

Python

SQL

Data pipelines

Cloud platforms

ML operations

Education

HS/GED

Tools

Airflow

Spark

dbt

PostgreSQL

Snowflake

Docker

Kubernetes

Job description

PingWind, Inc. is seeking a data analytics engineer to execute analytics workflows, data ingestion pipelines, and ML model operations in support of the Golden Dome Supply Chain Enterprise program.

The role reports to an Exiger AI Solution Engineer lead and focuses on ETL, analytics production runs, and pipeline maintenance that feed Red Team and Blue Team analyses. The candidate should have 4+ years in data science or analytics, strong Python/SQL skills, and experience with cloud data platforms.