Company Description

Air is the leader in Enterprise Readiness. Our mission is to establish readiness as a real-time condition that is continuously achieved. Today, a dangerous Readiness Gap exists between what the front line needs and what is delivered. Our AI-native platform, Air Enterprise Readiness, aligns development, production, delivery, and sustainment into one coordinated execution system for government agencies and industrial suppliers. By revealing true capacity, exposing real constraints, coordinating resources, and executing at the speed of operational demands, the front line gets what it needs to succeed.

Job Description

We are seeking an exceptional and experienced Data Engineer team member, a role for someone who shares our passion and obsession with shipping insightful and accurate data. You will be a core member of our team dedicated to helping drive our growth by building and maintaining data pipelines that deliver key business insights. The ideal candidate is an analytically minded engineer with large dataset experience. You must also possess strong interpersonal skills to work cross-functionally across internal teams and with Air platform Subject Matter Experts (SMEs).

You will support the proliferation of our enterprise data by sourcing data from business systems and our core application, and transforming that into a scalable data model delivering key insights. This role involves collaborating with technical and business stakeholders, maintaining high-confidence accuracy across every stage of our medallion architecture, and ensuring our tooling and data model scales to meet growth. You will own the execution, delivery, and validation of key data pipelines driving GTM, Operations, Product, and Engineering decisions.

This role is a full-time position located out of our office in Pittsburgh, PA.

This role may require up to 10% travel

Scope of Responsibilities

Collaborate with other software engineers, product managers, and client-facing teams to understand client requirements and translate them into technical solutions
Lead the deployment and integration of our software and data solutions in client environments, ensuring smooth implementation and adherence to project timelines
Actively participate in designing, building and testing scalable data architecture
Craft clean, testable, and maintainable code
Participate in the end-to-end software development of new feature functionality and design capabilities
Optimize processes for maximum speed and accuracy
Regularly seek out innovation and continuous improvement, finding efficiency in all assigned tasks

Qualifications

U.S. Citizenship is required

Required Skills

3+ years of writing, maintaining, and optimizing Production grade SQL to support business functions and/or applications. Knows how to efficiently write CTE’s, correlated and non-correlated subqueries, and window functions.
3+ years of data modeling. Knows star and snowflake schemas and the difference between a dimension and a fact.
3+ years writing ETL pipelines. Has used Airflow, Dagster, Prefect, or similar orchestration tools.
1-3+ years of Python for pipelines, data science, or applications
Has hands-on experience in at least one startup/tech data domain: Finance, Pipeline/Funnel, Product Analytics, Operations
Ability to quickly understand how end user engagement with an application ties to conversion and revenue.
Demonstrated track record of working collaboratively and delivering independently
Strong judgment and attention to detail when validating complex relationships and resolving ambiguous cases
Excellent written communication — able to document decisions with clear reasoning and auditable source support
Ability to prioritize, triage, and execute quickly while maintaining consistent quality
Strong stakeholder communication skills and the ability to coordinate across multiple workstreams
Close attention to detail and validating data accuracy

Desired Skills

Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship