Senior Data Engineer

✨ Real Impact, Real People: Our mission at Point is to make homeownership more valuable and accessible. Your work directly helps homeowners access their wealth, achieve financial flexibility, and realize life changing goals.✨ Funding: With over $175M raised from top investors like Andreessen Horowitz, WestCap, Greylock, and Prudential, we're scaling fast! You have the opportunity to join us at a pivotal stage.✨ Game-changing Product: We're building a category defining company in home equity. We've earned a 4.7 Trustpilot rating and an A+ from the BBB, a testament to the value we provide to our 20,000+ customers.✨ Remote First Culture, Genuine Connection: Work from anywhere in the U.S., while staying closely connected through virtual collaboration, team gatherings, and a people-first culture.About the rolePoint is looking for a Senior Data Engineer to join a lean, high-impact data team that powers analytics for 15+ business functions across a home equity investment company. You'll own the development and maintenance of a 1,600+ model dbt platform, build and optimize ETL pipelines in Airflow, manage Snowflake infrastructure (DDL deployments, permissioning, cost optimization), and ensure the reliability of 40+ data source integrations. This is a hands"‘on engineering role where your work directly shapes how the business makes decisions, and you'll also have the opportunity to contribute to emerging AI initiatives as the team expands into Cortex AI and LLM"‘powered workflows.Your responsibilitiesDevelop, maintain, and optimize dbt models across 20+ data marts serving business functions including marketing, production, servicing, finance, compliance, investor operations, and data scienceBuild and maintain ETL/ELT pipelines using Airflow (Astronomer), including custom operators, hooks, and sensors for data ingestion from 40+ sourcesManage Snowflake DDL deployments via schemachange "” databases, schemas, warehouses, users, roles, network policies, integrations, and UDFsMaintain and extend Terraform"‘managed RBAC grants (200+ .tf files), ensuring secure, auditable access provisioning across the Snowflake environmentDrive Snowflake cost optimization "” warehouse sizing, multi"‘clustering configuration, query performance tuning, and monitoring to target 15-25% cost reductionSupport CI/CD pipelines for dbt Cloud, Astronomer deployments, and automated data quality testingDevelop and maintain AWS Lambda functions supporting data integrations, APIs, and serverless data processing workflowsPerform code reviews, enforce engineering standards, and contribute to data model documentation (YAML configs, markdown docs) across the platformCollaborate with analysts and data scientists to build and maintain data marts, feature engineering tables, and semantic layer metrics that enable self"‘service analyticsContribute to the team's AI/ML initiatives "” including Cortex AI semantic models, data preparation for LLM workflows, and infrastructure supporting data science deployment pipelinesAbout you5+ years of experience in data engineering or analytics engineering, with significant hands"‘on dbt and SQL development experienceDeep Snowflake expertise "” DDL management, role"‘based access control, warehouse configuration, performance tuning, and cost optimizationStrong experience with Apache Airflow (or similar orchestration tools) "” building DAGs, custom operators, scheduling, and failure handlingProficiency in Python for data pipeline development, scripting, Lambda functions, and CI/CD automationExperience with Infrastructure as Code "” Terraform for access management, schemachange or Flyway for database migrations, version"‘controlled deploymentsSolid understanding of data modeling "” dimensional modeling, fact/dimension tables, data mart design, and enterprise data architectureAWS experience "” Lambda, S3, SAM/CloudFormation, and serverless architecture patternsStrong Git workflows "” branching strategies, pull request reviews, CI/CD integration (GitHub Actions or similar)Excellent troubleshooting skills "” ability to diagnose pipeline failures, data quality issues, and performance bottlenecks across a complex platformClear communicator "” can work with non"‘technical stakeholders to translate business requirements into data models and explain technical tradeoffsGenerous health benefits: We provide comprehensive medical, dental, and vision plans with options for flexible spending accounts (FSA) and health savings accounts (HSA).Unlimited paid time off: Recharge with unlimited paid time off and 10 company holidays.Flexible remote and onsite work: Our teams work from many different locations and time zones. We support fully remote work and also have an amazing in"‘person environment in our downtown Palo Alto, CA HQ.Fully paid parental leave: Point will supplement state Paid Family Leave (PFL) so employees receive 100% of their regular base pay, plus two additional weeks of fully paid leave after state PFL ends. In states without PFL, Point offers up to 8 weeks of paid parental leave. In addition, employees also receive 4 weeks of fully paid transition time, during which you may work 2-3 days per week while receiving full base pay.Equity: We offer meaningful equity because we believe in sharing the value you help create. Your contributions directly impact our growth, and your equity gives you a stake in our future success.Financial wellness: We provide 401K retirement plans for employees as well as guaranteed life insurance and short"‘ and long"‘term disability coverage.Extra work/life benefits: We provide monthly stipends for internet, mobile plans, wellness perks, and a one"‘time home office pensation at Point will be determined by skills, experience, and geographic location. Point has identified the expected annual base salary for this role at this level based on the market by tiers (Region | Location | Market Salary):Tier 1 | San Francisco Bay Area, New York, and Seattle | $177,650 - $196,350Tier 2 | Chicago, Austin, Denver, Boston, Washington DC, San Diego, Portland, Sacramento, Philadelphia, Los Angeles & Santa Barbara | $161,500 - $178,500Tier 3 | All other US metro areas | $154,850 - $171,150This does not include any other potential components of the compensation package, including equity, benefits, and perks outlined above. At the launch of each position, we benchmark compensation to the appropriate role and level utilizing competitive compensation data from various data sources as references. At the offer stage, we use the signal we received from our interviews, coupled with your experience, location, and other job"‘related factors, to determine final compensation.Location Requirement: This is a remote position. However, candidates must reside in one of Point's states of operation: AL, AZ, AR, CA, CO, CT, DC, FL, GA, IL, KS, KY, MA, MD, MI, MN, MO, NH, NV, NJ, NY, NC, OH, OR, PA, SC, TN, TX, UT, VA, WA, WI.Point is proud to be an equal"‘opportunity employer. We provide employment opportunities regardless of age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Each individual at Point brings their own perspectives, work experiences, lifestyles, and cultures with them, and we believe that a more diverse team creates more innovative products, provides better services to customers, and helps us all grow and learn.Our innovative home equity products have been featured in top publications.Point CEO, Eddie Lim made Business Insider's 100 people who are transforming businessEvery year, Insider surfaces 100 leaders across 10 industries who are driving unprecedented change and innovation. Lim, the CEO and cofounder of Point, wants to make it easier for people to tap into that wealth. Lim's company, which he founded alongside Eoin Matthews in 2015, offers homeowners lump sums of cash in exchange for a stake in their home.Point closes on $115M to give homeowners a way to cash out on equity in their homesHistorically, homeowners could only tap into the equity of their homes by taking out a home equity loan or refinancing. But a new category of startups has emerged in recent years to give homeowners more options to cash in on their homes in exchange for a share of the future value of their homes. #J-18808-Ljbffr

Created: 2026-04-20