Hybrid AI Solution Engineer – Data Pipelines & ML Ops

PingWind; Washington (Washington County); Hybrid; USD 121,000 - 169,000; Full time

Benefits offered by this job

Eleven Federal Holidays

Paid Time Off

Parental Leave

Medical plans with employer contrib.

Dental and Vision Insurance

Retirement plan with company match

Education assistance

Life and disability insurance

Wellness programs

Commuter benefits

Employee Assistance Program

529 College Savings Plan

Job summary

PingWind is seeking a Data Scientist/Analytics Engineer to support the Golden Dome Supply Chain Enterprise program. You will execute analytics workflows, build data ingestion pipelines, and run ML model operations under the direction of an Exiger AI Solution Engineer lead in a government-focused environment.

The role requires TS/SCI eligibility, HS/GED, and a minimum of four years in data science, analytics engineering, ML, or AI.

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 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

dbt

Spark

Pandas

PostgreSQL

Snowflake

Cloud platforms

ML monitoring

Education

HS/GED

Tools

Docker

Kubernetes

AWS

Azure

Snowflake

PostgreSQL

Job description

PingWind is seeking a Data Scientist/Analytics Engineer to support the Golden Dome Supply Chain Enterprise program. You will execute analytics workflows, build data ingestion pipelines, and run ML model operations under the direction of an Exiger AI Solution Engineer lead in a government-focused environment.

The role requires TS/SCI eligibility, HS/GED, and a minimum of four years in data science, analytics engineering, ML, or AI.