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At Reverse Tech, we are on a mission to create, launch, and scale digital product brands in the health and wellness space. Our goal is ambitious – we aim to help 10 million people improve their health by 2026 through hyper-targeted, mass‑scale brands. We specialize in subscription‑based business models and pride ourselves on being results‑focused, with no big egos, just big data. What We Want to Achieve Our vision is to discover novel self‑serve solutions to the world's greatest health problems, all while adhering to our core values.
We’re looking for a Junior Data Engineer to help us evolve our modern data stack and ensure our teams can make smarter, data‑driven decisions. You’ll work closely with data engineers, analysts, and marketing tech teams to build and maintain reliable, scalable data pipelines that power analytics, automation, and activation across our products. Your mission: support the delivery of high‑quality, well‑modeled data that enables our teams to trust and act on insights with confidence. You’ll gain hands‑on experience with tools like BigQuery, dbt, Prefect, Hightouch, and GTM , and contribute to building a robust, efficient data ecosystem that fuels Reverse Tech’s growth.
What will you do Data Engineering Develop, test, and maintain data pipelines and dbt models to ensure reliable data flow across systems. Collaborate with analysts to structure datasets that are optimized for reporting and activation. Support data quality checks, monitoring, and documentation to maintain trust in our data. Assist with data integrations across tools like Google Tag Manager, Hightouch, Segment, and Braze.
Collaboration & Learning Work with senior engineers to understand our data architecture and best practices. Partner with marketing, product and operations teams to help deliver data for targeting, personalization, and measurement. Participate in code reviews, team discussions, and continuous improvement initiatives. Operational Support Troubleshoot data issues, track root causes, and propose solutions.
Help improve workflow automation. Contribute to documentation and internal guides for the data team.
Who you are
0–2 years of experience in data engineering, analytics engineering , or a related technical field. Solid understanding of SQL and foundational‑to‑intermediate level of Python for data manipulation and ETL processes. Familiarity with cloud data warehouses (preferably BigQuery ) and version control (Git). Eager to learn dbt , reverse ETL , and workflow orchestration tools (e.g., Prefect, Airflow).
Strong problem‑solving skills and curiosity for how data moves through systems. Comfortable working in a remote, fast‑paced, startup environment. Bonus points if you have Experience working with marketing data (Google Ads, Meta, Braze, etc.). Knowledge of event tracking or Google Tag Manager (GTM) .
Interest in predictive models (churn, LTV, or audience scoring). Our Values Extreme Ownership: We take radical responsibility and act fast to solve what matters. Excellence: We push constantly - with curiosity and energy, and boldness. Impact: We focus, execute smartly, and drive real outcomes.
Collaboration: We solve big problems together - with shared ownership and trust.
Benefits
What Our Team Members Get: 100% remote and flexible work hours Top‑notch equipment (MacBook Pro or PC, you decide) Learning from the best, including ex‑Googlers and more Unlimited growth prospects Inclusion in a winning team Competitive compensation A fun, non‑corporate atmosphere If you're passionate about data, analytics, and building systems that drive real business impact , and are ready to join a dynamic, global team, we encourage you to apply. Help us shape the future of health and wellness through technology. Learn more about us at and apply today to become a key player in our exciting journey. This position is offered as a Remote option, reach out to us to evaluate the options according to your location. #J-18808-Ljbffr
