Data Engineer
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Analyst
Sandboxx is the leading platform dedicated to finding and building technology solutions throughout a service member's military life cycle. We're looking for people with drive and initiative who are excited about making great technology and a positive attitude for our service members. Come help us build meaningful solutions for the military community!
About SandboxxSandboxx is the industry-leading platform connecting military recruits with their support system through physical mail, in-app messaging, and a rapidly growing online community. Every week, tens of thousands of recruits send letters that forge unbreakable bonds with family and friends—and drive thousands of new users into our ecosystem.
About the RoleYou love digging into data and making it sing—and at Sandboxx, you’ll be the person everyone leans on when they need answers. You’ll sit at the intersection of engineering and business—partnering closely with Marketing, Product, and our Executive team—to build trusted pipelines, analytics models, and dashboards that power everything from day-to-day operations to board-level reporting.
This is a hands‑on role. You’ll build and maintain ELT workflows, plug in third‑party APIs (CDPs, MMPs, Iterable, partner feeds, etc.), and scale our BI stack with Big Query, Airflow, and Looker (or Looker Studio).
While we offer the flexibility to hire remote talent for the right fit, we have a strong preference for in‑person collaboration at our Middleburg, VA headquarters and offer an enhanced compensation package for candidates willing to be onsite.
Sandboxx’s growth and operations run on data, and your work will turn messy, complex feeds into clean, trusted insights—so nobody ever has to wait in a queue for the story behind the numbers.
Why We’re Hiring For This Role Now- Our data lives in pockets of well‑built pipelines—but without integration, we lack a holistic view of our customer journey.
- Teams wrestle with one‑off queries and spreadsheets to get the needed numbers just to get the numbers they need, blocking deeper analysis.
- We don’t have a unified attribution model or single source of truth, so it’s hard to tie marketing and product efforts back to real impact.
- Real‑time insights are out of reach, forcing stakeholders into reactive mode instead of proactive optimization.
- There’s no dedicated owner of our BI layer—no one ensuring data consistency, reliability, and accessibility across the company.
- Designing, building, and maintaining robust ELT workflows that consolidate data from all internal and external systems into our warehouse
- Integrating with third‑party platforms—Iterable, mParticle, partner APIs, and more—to ensure every metric is consistently captured
- Architecting and optimizing our Big Query environment for performance, cost‑efficiency, and scalability
- Modeling data and authoring Looker (Looker Studio, Tableau, etc.) dashboards that give every team self‑serve access to reliable insights
- Implementing automated tests and monitoring to catch data issues early and maintain trust in our metrics
- Writing clear documentation and hosting regular “office hours” to empower non‑technical teammates to explore data confidently
- Collaborating with BI analysts to establish standards, conduct code reviews, and foster company‑wide data ownership
- Owning and maintaining ELT pipelines using Apache Airflow, custom scripting, and Big Query
- Contributing to data governance, access controls, and system scalability as our platform grows
- A hands‑on data engineer who loves turning ambiguity into clarity and takes pride in seeing teams succeed with the metrics you build
- Deep experience designing and maintaining ELT pipelines in a cloud warehouse (Big Query, Snowflake, or Redshift) using orchestrators like Airflow or Prefect
- SQL mastery—you can write, optimize, and troubleshoot complex queries without hesitation
- Proven track record with dbt (or an equivalent) for modular, testable transformations and a CI/CD mindset for data workflows
- Comfort modeling data and building self‑serve dashboards in Looker, Tableau, or Power BI that non‑technical teammates lean on daily
- A relentless focus on…
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