Sandboxx
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 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 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).
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 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 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 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
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 LTV—auto‑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 report—P&L, CAC analysis, cohort performance—in 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 nature—you 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 quality—writing 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 mentoring—running 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
Equity incentive plan
401k with matching and sharing
Top‑tier health insurance and family benefits
Paid parental leave
We look for people with a good sense of humor and zest for life, especially during interviews.
Sandboxx is an equal opportunity workplace and we would like to hear from all qualified applicants. If you have a disability or any special needs that we might need to accommodate, please just let us know.
Sandboxx is an equal opportunity employer - if you are a continuous learner who enjoys startups in either tech or military, you'll thrive at Sandboxx. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Sandboxx is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process.
To all recruitment agencies: Sandboxx does not accept agency resumes. Please do not forward resumes to our jobs alias, Sandboxx employees, or any other organization location. Sandboxx is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr
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 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).
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 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 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 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
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 LTV—auto‑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 report—P&L, CAC analysis, cohort performance—in 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 nature—you 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 quality—writing 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 mentoring—running 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
Equity incentive plan
401k with matching and sharing
Top‑tier health insurance and family benefits
Paid parental leave
We look for people with a good sense of humor and zest for life, especially during interviews.
Sandboxx is an equal opportunity workplace and we would like to hear from all qualified applicants. If you have a disability or any special needs that we might need to accommodate, please just let us know.
Sandboxx is an equal opportunity employer - if you are a continuous learner who enjoys startups in either tech or military, you'll thrive at Sandboxx. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Sandboxx is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process.
To all recruitment agencies: Sandboxx does not accept agency resumes. Please do not forward resumes to our jobs alias, Sandboxx employees, or any other organization location. Sandboxx is not responsible for any fees related to unsolicited resumes.
#J-18808-Ljbffr