Hybrid AI Solution Engineer - Data Pipelines & ML Ops

PingWind, Inc.; Washington (District of Columbia); Hybrid; USD 121,000 - 169,000; Full time

Benefits offered by this job

Federal Holidays

Paid Time Off

Parental Leave

Medical Plans

Dental & Vision

Disability Insurance

Life Insurance

401k Matching

Education Assistance

Flexible Spending Accounts

Employee Assistance Program

Wellness Benefit

529 Plan

Legal Insurance

Pet Insurance

Job summary

PingWind, Inc. in Washington, DC is seeking a data science/analytics engineer to support the Golden Dome Supply Chain Enterprise program. You will execute ETL workflows, run ML inference, and maintain analytics pipelines under technical direction.

Responsibilities include building data pipelines with Python and SQL, using Airflow/Spark/dbt, validating data quality, and delivering analytics outputs for security assessments. Hybrid work: 3 days onsite, 2 remote.

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 data ingestion and transformation
• Run and monitor ML model inference jobs, flagging anomalies
• 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

dbt

pandas

PostgreSQL

Snowflake

ML Ops

Education

HS/GED

Tools

Airflow

Spark

dbt

pandas

PostgreSQL

Snowflake

Job description

PingWind, Inc. in Washington, DC is seeking a data science/analytics engineer to support the Golden Dome Supply Chain Enterprise program. You will execute ETL workflows, run ML inference, and maintain analytics pipelines under technical direction.

Responsibilities include building data pipelines with Python and SQL, using Airflow/Spark/dbt, validating data quality, and delivering analytics outputs for security assessments. Hybrid work: 3 days onsite, 2 remote.