Sandboxx
Overview
Data Engineer role at Sandboxx. Sandboxx is the industry-leading platform connecting military recruits with their support system through physical mail, in-app messaging, and a growing online community. We’re looking for people with drive and initiative who are excited about making great technology and a positive attitude for our service members. This is a full-time W2, in-office position based in Middleburg, Virginia. Our office is dog-friendly, and relocation assistance is available. About Sandboxx
Sandboxx 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 bonds with family and friends—and drive thousands of new users into our ecosystem. About the Role
You 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 BigQuery, Airflow, and Looker (or Looker Studio). 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, 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. What You\'ll Be Responsible For
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 BigQuery 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 BigQuery Contributing to data governance, access controls, and system scalability as our platform grows What We're Looking For
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 data warehouse (BigQuery, 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 data quality—automated tests, monitoring, and clear documentation are second nature to you Excellent communicator who can translate technical details into actionable insights for Marketing, Product, Finance, and leadership A builder\'s mentality: you see gaps in our analytics stack and jump in to solve them rather than waiting for direction What Success Looks Like
Within the first month , you\'ll deliver a data health report that maps existing sources and prioritizes the top three manual processes for automation. Within the first 3 months , you\'ll roll out a core dashboard showing acquisition, activation, retention, and LTV with auto-refresh and anomaly alerts, and migrate transformation logic into a CI/CD pipeline with tests that prevent bad data from reaching analysts. Within the first 6 months , you\'ll automate the monthly finance close report and launch a self-serve data sandbox in Looker for non-engineers. After 12 months , you\'ll centralize all key data sources into a well-documented, reliable warehouse and enable 80% of dashboards to be built by analysts and power users, while reducing query times by at least 50% through optimizations. What You're Like
Experience building production ELT pipelines in a cloud data warehouse with Airflow, Prefect, or similar Strong SQL skills for transformations and performance tuning Hands-on experience with dbt or equivalent and modular, tested data models Experience creating dashboards in Looker, Tableau, or Power BI used by non-technical teams Commitment to data quality with tests, monitoring, and documentation Clear communication across Marketing, Product, Finance, and leadership Ideally, You
Bachelor\'s degree in a technical field Scaled a data stack to millions of daily events with reliable pipelines Built analytics models for subscription businesses with cohort, funnel, and revenue attribution analyses Integrated marketing platforms (Iterable, Segment, Branch, Adjust) for seamless data flow Enjoy mentoring and helping teammates level up SQL Experience with reverse-ETL or operationalizing insights into marketing/product tools Bonus Points
Experience with military, veteran, or family-support organizations Startup or high-growth environment exposure dbt or custom transformation frameworks experience Familiarity with marketing and product analytics stacks Compensation, Benefits & Perks
Equity incentive plan 401k with matching and profit sharing Top-tier health insurance and family benefits Flexible paid vacation Paid parental leave Sandboxx is an equal opportunity workplace and we accommodate candidates with disabilities. We encourage all qualified applicants to apply. Sandboxx does not accept agency resumes. Seniority level
Entry level Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Internet Referrals increase your chances of interviewing at Sandboxx. Get notified about new Data Engineer jobs in Middleburg, VA.
#J-18808-Ljbffr
Data Engineer role at Sandboxx. Sandboxx is the industry-leading platform connecting military recruits with their support system through physical mail, in-app messaging, and a growing online community. We’re looking for people with drive and initiative who are excited about making great technology and a positive attitude for our service members. This is a full-time W2, in-office position based in Middleburg, Virginia. Our office is dog-friendly, and relocation assistance is available. About Sandboxx
Sandboxx 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 bonds with family and friends—and drive thousands of new users into our ecosystem. About the Role
You 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 BigQuery, Airflow, and Looker (or Looker Studio). 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, 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. What You\'ll Be Responsible For
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 BigQuery 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 BigQuery Contributing to data governance, access controls, and system scalability as our platform grows What We're Looking For
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 data warehouse (BigQuery, 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 data quality—automated tests, monitoring, and clear documentation are second nature to you Excellent communicator who can translate technical details into actionable insights for Marketing, Product, Finance, and leadership A builder\'s mentality: you see gaps in our analytics stack and jump in to solve them rather than waiting for direction What Success Looks Like
Within the first month , you\'ll deliver a data health report that maps existing sources and prioritizes the top three manual processes for automation. Within the first 3 months , you\'ll roll out a core dashboard showing acquisition, activation, retention, and LTV with auto-refresh and anomaly alerts, and migrate transformation logic into a CI/CD pipeline with tests that prevent bad data from reaching analysts. Within the first 6 months , you\'ll automate the monthly finance close report and launch a self-serve data sandbox in Looker for non-engineers. After 12 months , you\'ll centralize all key data sources into a well-documented, reliable warehouse and enable 80% of dashboards to be built by analysts and power users, while reducing query times by at least 50% through optimizations. What You're Like
Experience building production ELT pipelines in a cloud data warehouse with Airflow, Prefect, or similar Strong SQL skills for transformations and performance tuning Hands-on experience with dbt or equivalent and modular, tested data models Experience creating dashboards in Looker, Tableau, or Power BI used by non-technical teams Commitment to data quality with tests, monitoring, and documentation Clear communication across Marketing, Product, Finance, and leadership Ideally, You
Bachelor\'s degree in a technical field Scaled a data stack to millions of daily events with reliable pipelines Built analytics models for subscription businesses with cohort, funnel, and revenue attribution analyses Integrated marketing platforms (Iterable, Segment, Branch, Adjust) for seamless data flow Enjoy mentoring and helping teammates level up SQL Experience with reverse-ETL or operationalizing insights into marketing/product tools Bonus Points
Experience with military, veteran, or family-support organizations Startup or high-growth environment exposure dbt or custom transformation frameworks experience Familiarity with marketing and product analytics stacks Compensation, Benefits & Perks
Equity incentive plan 401k with matching and profit sharing Top-tier health insurance and family benefits Flexible paid vacation Paid parental leave Sandboxx is an equal opportunity workplace and we accommodate candidates with disabilities. We encourage all qualified applicants to apply. Sandboxx does not accept agency resumes. Seniority level
Entry level Employment type
Full-time Job function
Information Technology Industries
Technology, Information and Internet Referrals increase your chances of interviewing at Sandboxx. Get notified about new Data Engineer jobs in Middleburg, VA.
#J-18808-Ljbffr