Sandboxx
Data Engineer
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! Data Engineer
Location: Middleburg, VA Type: Full-time 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 unbreakable bonds with family and friendsand drive thousands of new users into our ecosystem. About the Role You love digging into data and making it singand at Sandboxx, you'll be the person everyone leans on when they need answers. You'll sit at the intersection of engineering and businesspartnering closely with Marketing, Product, and our Executive teamto 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 insightsso 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 pipelinesbut without integration, we lack a holistic view of our customer journey. Teams wrestle with one-off queries and spreadsheets to get the needed numbersjust 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 layerno 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 platformsIterable, mParticle, partner APIs, and moreto 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 warehouse (BigQuery, Snowflake, or Redshift) using orchestrators like Airflow or Prefect SQL masteryyou 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 qualityautomated 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 Ship your first ELT job into BigQuery and launch a simple dashboard tracking a key operational metric Within the first 3 months, you'll Roll out a core dashboard showing acquisition, activation, retention, and LTVauto-refreshing daily with anomaly alerts Migrate our transformation logic into a CI/CD pipeline with a suite of tests that prevent bad data from reaching analysts Within the first 6 months, you'll Automate the monthly finance close reportP&L, CAC analysis, cohort performancein under 24 hours after month-end Launch a self-serve data sandbox in Looker where non-engineers can safely explore and query cleaned data After 12 months, you'll Centralize all key data sources into a well-documented, reliable warehouse with minimal pipeline failures Enable 80% of dashboards to be built and maintained by analysts and power users using your data models Cut average query times by at least 50% through schema tuning, caching strategies, and optimized transformations What You're Like Using Airflow, Prefect, or similar, you've built production ELT pipelines in a cloud data warehouse (BigQuery, Snowflake, or Redshift). SQL is second natureyou write complex transformations, optimize performance, and debug slow queries with confidence Hands-on experience with dbt (or an equivalent) and a track record of shipping modular, tested data models You've authored dashboards in Looker, Tableau, or Power BI that non-technical teams rely on daily. You care deeply about data qualitywriting tests, documenting pipelines, and monitoring health so trust in "the numbers" never wavers. You communicate clearly, whether you're walking a marketer through a dashboard or presenting metrics to the Executive team. Ideally, you Have a bachelor's degree in a technical field such as Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related discipline Have scaled a data stack from thousands to millions of daily events, maintaining pipeline reliability under heavy load Built analytics models for subscription-driven businesses, mastering cohort, funnel, and revenue attribution analyses Integrated multiple marketing and engagement platforms (Iterable, Segment, Branch, Adjust) so acquisition metrics flow seamlessly into your warehouse Enjoy mentoringrunning data office hours, pairing on complex queries, and helping teammates level up their SQL skills Have experience with reverse-ETL or operationalizing insights to feed marketing and product tools directly Bonus Points For Prior work with military, veteran, or family?support organizations Startup or high?growth environment exposure Experience with dbt or custom transformation frameworks Familiarity with marketing and product analytics stacks Compensation, Benefits & Perks Equity incentive plan 401k with matching and sharing Top-tier health insurance and family benefits Flexible paid vacation Paid parental leave
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! Data Engineer
Location: Middleburg, VA Type: Full-time 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 unbreakable bonds with family and friendsand drive thousands of new users into our ecosystem. About the Role You love digging into data and making it singand at Sandboxx, you'll be the person everyone leans on when they need answers. You'll sit at the intersection of engineering and businesspartnering closely with Marketing, Product, and our Executive teamto 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 insightsso 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 pipelinesbut without integration, we lack a holistic view of our customer journey. Teams wrestle with one-off queries and spreadsheets to get the needed numbersjust 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 layerno 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 platformsIterable, mParticle, partner APIs, and moreto 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 warehouse (BigQuery, Snowflake, or Redshift) using orchestrators like Airflow or Prefect SQL masteryyou 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 qualityautomated 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 Ship your first ELT job into BigQuery and launch a simple dashboard tracking a key operational metric Within the first 3 months, you'll Roll out a core dashboard showing acquisition, activation, retention, and LTVauto-refreshing daily with anomaly alerts Migrate our transformation logic into a CI/CD pipeline with a suite of tests that prevent bad data from reaching analysts Within the first 6 months, you'll Automate the monthly finance close reportP&L, CAC analysis, cohort performancein under 24 hours after month-end Launch a self-serve data sandbox in Looker where non-engineers can safely explore and query cleaned data After 12 months, you'll Centralize all key data sources into a well-documented, reliable warehouse with minimal pipeline failures Enable 80% of dashboards to be built and maintained by analysts and power users using your data models Cut average query times by at least 50% through schema tuning, caching strategies, and optimized transformations What You're Like Using Airflow, Prefect, or similar, you've built production ELT pipelines in a cloud data warehouse (BigQuery, Snowflake, or Redshift). SQL is second natureyou write complex transformations, optimize performance, and debug slow queries with confidence Hands-on experience with dbt (or an equivalent) and a track record of shipping modular, tested data models You've authored dashboards in Looker, Tableau, or Power BI that non-technical teams rely on daily. You care deeply about data qualitywriting tests, documenting pipelines, and monitoring health so trust in "the numbers" never wavers. You communicate clearly, whether you're walking a marketer through a dashboard or presenting metrics to the Executive team. Ideally, you Have a bachelor's degree in a technical field such as Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related discipline Have scaled a data stack from thousands to millions of daily events, maintaining pipeline reliability under heavy load Built analytics models for subscription-driven businesses, mastering cohort, funnel, and revenue attribution analyses Integrated multiple marketing and engagement platforms (Iterable, Segment, Branch, Adjust) so acquisition metrics flow seamlessly into your warehouse Enjoy mentoringrunning data office hours, pairing on complex queries, and helping teammates level up their SQL skills Have experience with reverse-ETL or operationalizing insights to feed marketing and product tools directly Bonus Points For Prior work with military, veteran, or family?support organizations Startup or high?growth environment exposure Experience with dbt or custom transformation frameworks Familiarity with marketing and product analytics stacks Compensation, Benefits & Perks Equity incentive plan 401k with matching and sharing Top-tier health insurance and family benefits Flexible paid vacation Paid parental leave