Redwood City, CAEngineering - Technical/Full-time/HybridZum has reimagined student transportation, the nation's largest mass transit system. Our integrated end-to-end cloud-based platform provides a modern service for school districts purpose-built around the needs of kids and the expectations of their families.

Zum provides one seamless, real-time interface for parents, drivers, schools, districts, administrators, and operators, to transport children safely and with increased visibility and personalized care. Our multi-sized vehicle approach includes an electric vehicle-first commitment, reduces student commute times by up to 20%, and coupled with our marketplace, delivers added fleet efficiency and optimization. We have been driving the industry forward since 2015, and with more than 8 million miles completed to date, we are leading a new era of safe, reliable, efficient, and sustainable transportation.

Zum is the leader in student transportation and logistics. We are building the next generation of technology and service platforms to bring student transportation into a new age while enabling equity, innovation, efficiency, and sustainability. We are a well-funded Series E (1.

3B Valuation) company backed by top global VC firms. We are actively growing and scaling our product and engineering teams.We are looking for a Staff Data Engineer for our Data Science and Engineering team.

Being the earliest member of this team, you will profoundly impact the technical direction of our data strategy. You will love this job if you are a self-driven developer who enjoys solving complex problems and building impactful solutions.What To Expect In This RoleWork closely with Product, Engineering, and other key stakeholders to understand the data requirements and translate them into concrete executable roadmapDesign, develop, and manage highly reliable and performant data infrastructure to support growing analytics and AI needsBuild reusable frameworks that improve the reliability and scalability of our ETLsIntroduce tools and processes to scale (and accelerate) our development processesFlexibility to maintain a physical presence in the office for a minimum of three days per week.

Essential Technical Skills For This RoleBachelor's degree or higher in Computer Science or equivalent degrees10+ years of professional experience8+ years experience working in data engineering, business intelligence, or a similar roleProficiency in programming languages such as Python/Java5+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie, or similar technologiesExpert in Database fundamentals, SQLExpert in Distributed systemsExperience working with Postgres or any other DBMS platformsExperience working with BigQuery, RedShift, Snowflake, or any other Data Warehouse platformExperience working on reporting tools such as Tableau, Looker, Superset, or similar technologiesFamiliarity with cloud technologies like AWS/GCP/Azure.Other Skills Required To Succeed In This RoleExcellent Communication skillsExperience working with both technical and non-technical teamsComfortable working in a fast-paced environment and a self-starterGood planning, organization, and decision-making skillsGood sense of humor with a great ability to work with othersThe targeted base salary range for this role is listed in the compensation section below. Actual salary may be above or below this range based on factors such as location, skills, and relevant experience.

In addition, this position may include additional compensation in the form of bonus, equity, or commissions. If you are a full-time salaried or hourly worker, we offer the following benefits: Medical, Dental, Vision, 401(k), Holidays, Wellness, Vacation, and more. The targeted pay range for this role in US CA is: $175-225kZum Services, Inc.

and all its subsidiaries provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws