AI Solutions Engineer: Government ML Ops & Data Pipelines

PingWind, Inc.; Washington; Hybrid; USD 121,000 - 169,000; Full time

Benefits offered by this job

Paid Time Off

Parental Leave

Health Insurance

Dental and Vision Insurance

401k with matching

Education assistance

Job summary

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

You will work under an Exiger AI Solution Engineer lead, running ETL processes and maintaining pipelines. The role requires 4+ years in data science or ML operations, strong Python/SQL skills, and experience with Airflow, Spark, and cloud platforms (AWS/Azure).

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 PostgreSQL, Snowflake, or equivalent.
• Experience with ETL/ELT processes, data transformation, and analytics production workflows across structured and semi-structured data sources.
• 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

Airflow

Spark

pandas

dbt

Education

HS/GED

Tools

PostgreSQL

Snowflake

AWS

Azure

Docker

Kubernetes

Job description

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

You will work under an Exiger AI Solution Engineer lead, running ETL processes and maintaining pipelines. The role requires 4+ years in data science or ML operations, strong Python/SQL skills, and experience with Airflow, Spark, and cloud platforms (AWS/Azure).