AI Solution Engineer- Ops with Security Clearance

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

Benefits offered by this job

Eleven federal holidays

Paid time off

Parental leave

Medical plan options

Dental insurance

Vision insurance

Disability insurance

Life/AD&D insurance

401k with matching

Education assistance

Wellness program

Job summary

PingWind, Inc. is seeking a data analytics engineer to implement analytics workflows and ML model operations for the Golden Dome Supply Chain Enterprise program in Huntsville, AL or Washington, DC.

The role requires 4+ years of experience and TS/SCI eligibility, HS/GED education, and hybrid on-site work (3 days onsite, 2 remote). You will execute ETL processes, monitor ML inference, and maintain data pipelines using Python, SQL, Airflow, Spark, and dbt, while ensuring governance and auditable

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

Data pipelines

Airflow

Spark

pandas

dbt

PostgreSQL

Snowflake

Cloud platforms

ML deployment

Education

HS/GED

Tools

Docker

Kubernetes

Airflow

Snowflake

Job description

Location: Huntsville, AL or Washington, DC

Required Clearance: TS/SCI Eligible

Required Education: HS/GED

Required Experience: Minimum of 4 years of experience in data science, analytics engineering, ML, operations, or AI

Hybrid: 3 days of onsite/ 2 days remote

Position Description This position supports the Golden Dome Supply Chain Enterprise program by executing analytics workflows, data ingestion pipelines, and machine learning model operations within the operations and implementation branch. The engineer works under the technical direction of an Exiger AI Solution Engineer lead, executing ETL processes, analytics production runs, and pipeline maintenance that feed the program's Red Team and Blue Team analytic constructs.

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

Required 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

Desired Qualifications

• 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 record
• Experience with supply chain data, entity resolution, or risk analytics
• Familiarity with government data handling requirements (CUI, NIST 800-171)
• Experience with containerized deployments (Docker/Kubernetes)
• Experience with PostgreSQL, Snowflake, or similar cloud data warehouse platforms in production analytics environments

About PingWind

PingWind is focused on delivering outstanding services to the federal government. We have extensive experience in the fields of cybersecurity, development, IT infrastructure, supply chain management and other professional services such as system design and continuous improvement. PingWind is an SBA certified Service-Disabled Veteran-Owned Small Business (SDVOSB) with offices in Northern Virginia and Huntsville AL. www.PingWind.com

Benefits

• Eleven Federal Holidays
• Paid Time Off accrued each pay period
• Parental Leave
• Three medical plan choices with generous employer contribution
• Dental and Vision Insurance
• Company paid Short-Term and Long-Term Disability
• Company paid Life and AD&D Insurance
• 401k with competitive matching and vesting schedule
• Continuing education assistance
• Short Term / Long Term Disability & Life Insurance
• Medical, Dependent Care and Commuter Flexible Spending Accounts
• Employee Assistance Program
• Wellness benefits include Calm Health app and WellHub gym subsidy (formerly GymPass)
• 529 College Savings Plan
• Legal Insurance
• Pet Insurance
• Salary Range $121k-$169k

PingWind, Inc. does not discriminate in employment opportunities, terms, and conditions of employment, or practices on the basis of race, age, gender, religious or political beliefs, national origin or heritage, disability, sexual orientation, or any characteristic protected by law We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.