This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a Data Engineer at Range, you’ll play a central role in building and scaling the data infrastructure that powers our analytics, product insights, and customer experiences. You will design, develop, and maintain robust data pipelines and platforms that ensure data is accurate, secure, and available for both real-time and batch analytics. You’ll collaborate closely with product, analytics, data science, and engineering teams to turn raw data into reliable, scalable information that drives business decisions and fuels growth. This role is ideal for someone who thrives on solving technical data challenges in a fast-moving fintech environment.
Job Responsibility:
Create, maintain, and optimize scalable data pipelines and ETL/ELT workflows to support analytics and product initiatives
Integrate data from various internal and external sources, ensuring seamless ingestion, transformation, and delivery
Help shape our data architecture, including data warehouse/schema design, storage solutions, and workflow orchestration
Optimize queries and storage performance for efficiency at scale, especially as data volume grows with our customer base
Implement data quality checks, monitoring systems, and troubleshooting tools to ensure data reliability and accuracy
Work closely with data scientists, analysts, and cross-functional partners to understand data needs and deliver timely solutions
Maintain clear documentation for pipelines, architecture decisions, and standards to support team alignment and onboarding
Requirements:
5+ years of experience in Data Engineering
BS or BA in Computer Science, Engineering, Statistics, Economics, Mathematics, or another quantitative discipline from a top-tier university
Strong proficiency in Python and SQL for building and optimizing data workflows
Hands-on experience with cloud data platforms and toolchains (e.g., AWS, GCP, Snowflake, BigQuery, Redshift)
Familiarity with data pipeline orchestration tools such as Airflow, dbt, Prefect, or similar
Experience with data modeling, schema design, and data warehousing concepts in large-scale environments
Strong analytical mindset with excellent problem-solving skills, especially in ambiguous or evolving environments
Comfortable working collaboratively across teams and translating business needs into technical solutions
Experience working in fintech or other consumer-focused, high-growth technology startup environments
What we offer:
Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
401(k): Retirement savings program to support your future
Paid Time Off: Dedicated time to reset and recharge plus most federal holidays
Parental Leave: Comprehensive leave policy for growing families
Meals: Select meals covered throughout the week
Fitness: Monthly movement stipend
Equity & Career Growth: Early exercise eligibility and a strong focus on professional development
Annual Compensation Reviews: Salary and equity refreshes based on performance
Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return