Our mission is to protect service members and civilians with intelligent systems.
The Role
Develop ETL pipelines, automate workflows, build Lakehouse structures, support ML workflows, and collaborate with finance teams for reporting and insights.
Summary Generated by Built In
Founded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,X, Instagram, and YouTube.
Job Description:
Shield AI is seeking a Data Engineer to join our Finance team in support of our financial enterprise reporting platform. This role will help establish secure, automated, and scalable data pipelines that connect finance, compliance, and operations to actionable insights. You will enable Finance to improve forecasting, budgeting, and reporting accuracy while supporting compliance with government and cyber requirements.
What you'll do:
- Develop ETL pipelines (Python, SQL, PySpark) to integrate data from ERP, FP&A, and other enterprise systems into Microsoft Fabric.
- Automate ingestion, transformation, and validation workflows to ensure accuracy, timeliness, and compliance of finance and accounting data.
- Build and maintain Lakehouse structures (raw, processed, curated) to support efficient data modeling and reporting.
- Curate datasets for end users and analysts to consume in their own reporting and dashboarding tools.
- Design and maintain orchestration frameworks and dataflows to support higher-frequency refresh schedules while optimizing Fabric compute unit (CU) usage.
- Support development and deployment of machine learning workflows (e.g., GL/expense classification models) as part of the financial reporting platform.
- Collaborate with Finance, FP&A, and Product stakeholders to evolve data models and reporting capabilities.
Required qualifications:
- 3+ years of experience in data engineering or analytics with hands-on ETL pipeline development.
- Proficiency in SQL, Python, and PySpark, with experience in Microsoft Fabric, Databricks, or Snowflake.
- Understanding of data warehousing and Lakehouse architectures, medallion models, and orchestration workflows.
- Experience with Azure or AWS cloud services (S3, EC2, IAM, Databricks, or Azure equivalents).
- Familiarity with compliance-driven data handling, including audit readiness and government reporting requirements.
Preferred qualifications:
- Experience in a defense or government technology environment.
- Exposure to finance systems (Costpoint, Vena, ERP/FP&A platforms) and accounting data structures.
- Knowledge of compliance frameworks and data governance/security policies (DCAA, FAR/DFARS, CUI).
- Background in automation or machine learning techniques to support data validation and compliance.
- Experience delivering scalable data solutions in Agile environments.
#LI-HM1
#LC
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
###
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
Top Skills
AWS
Azure
Databricks
Microsoft Fabric
Pyspark
Python
Snowflake
SQL
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With offices in San Diego, Dallas, Washington, D.C., Boston, Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
Gallery
.png)
