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Most wealth management is fragmented. Range is building AI-powered wealth management that actually works. One platform – investments, taxes, retirement, estate – all of it. All helping members manage financial complexity. Backed by Google's Gradient Ventures, Cathay Innovation, and Scale Venture Partners. Hyper-growth. Small team. Every person matters. About The Role As a Senior Data Engineer at Range, you’ll be the technical owner of Range’s data infrastructure at a pivotal moment. We’ve grown organically and have different warehouses and a patchwork of ingestions, processes and standards. We’re building the platform, practices and core data model that the next stage of growth depends on. You’ll define the standards, architecture and foundational data model that will shape how we leverage data for years. You’ll also build governance into the foundation that supports our current regulations and the ones we are growing into. This role is ideal for a senior data engineer who's done this before with strong opinions on dimensional modeling and data architecture, comfortable making the foundational calls in a fast-moving environment where the data is regulated. We're excited to hire this role at Range's Headquarters in McLean, VA. All of our positions follow an in-office schedule Monday through Friday, allowing you to collaborate directly with your team. If you're not currently based in the area, but love what you see, let’s discuss relocation as part of your journey to joining us. What You’ll Do With Us Own the foundational data model. Design how our core entities look and are structured in the warehouse. Make the calls on grain, slowly changing dimensions, snapshot strategy, and the conventions our staging and mart layers are built on. Set the standards. Define how we do testing, documentation, orchestration, and alerting across all our data infrastructure and bring our existing warehouses up to that bar. Build and operate the ingestion layer. Design and maintain pipelines that move data reliably from internal and external sources into the warehouse, using Fivetran, dbt and Python where each fits best. Implement the data quality checks, alerting, and troubleshooting tools that let us catch issues before stakeholders do. Architect for governance. Build role-based access, and audit controls into the foundation so that governance scales with the platform instead of being retrofitted later. Help shape the platform decision. We're evaluating our long-term data platform and whether to consolidate on what we have or move to something new. You'll partner with our Head of Data and Analytics on the evaluation and own the migration end-to-end once the decision is made. What We're Looking For 5+ years of experience in Data Engineering, including time as the most senior data engineer on a team or workstream. Production experience with a modern data toolset including dbt, a cloud warehouse or lakehouse, and modern orchestration and ingestion tooling. Strong dimensional modeling fundamentals — you can defend a choice between Kimball, Inmon, or a hybrid based on the problem in front of you, and you've designed type-1/type-2 SCDs in production. Track record of setting standards on documentation, testing and alerting on a team that didn't have them. What Will Set You Apart You've built data infrastructure under real regulatory constraints at an RIA, broker-dealer, bank or anywhere SOC 2 / Reg S-P / shaped what you built and how. You leverage AI as a force multiplier in your own work. You've developed real instincts for when to lean on it, when to verify, and where it actually accelerates pipeline development, modeling, and debugging. You've done a warehouse consolidation or platform migration end-to-end where you made the architectural calls and lived with the consequences and not just executed someone else’s plan Benefits 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 Range is proud to be an equal opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. As a company, we are committed to designing products, building a culture, and supporting a team that reflects the diverse population we serve.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.