What You’ll Do
Own Our Data Warehouse
Set standards and build patterns for ingesting data
Make sure data consumers can build models efficiently and quickly
Build new capabilities, like data catalogs and semantic layers that make data discoverable for your coworkers across the company
Set data security standards, including tokenization, RBAC, and row-level security
Provide High-Quality Patterns
You should have opinions, we want you to be the expert on the best way to produce and consume data
Figure out how to make data usable, whether via reverse ETL or making it available to AI agents
Be a Teacher
Help our product engineering teams evolve from treating data as exhaust to building DDD-based data products
Teach nontechnical users how to consume data using AI tools without needing to learn SQL
Evangelize new practices and patterns that present opportunities for Coast to remain innovative and nimble
Write Code
Contribute to our data pipelines in Python
Build CI/CD pipelines for data products
Contribute new data tests for dbt
What Success Looks Like
In your first year, you’ll be successful if you
Provide a model for understanding our data warehouse costs
Ship a data catalog that helps all employees know where to find good data
Have a strategy and have made real progress on building a data security posture, including row-level security, RBAC, and tokenization
Have a strategy and have made real progress on making our data safely accessible to AI agents
Requirements
7+ years hands-on experience working across the data ecosystem, from modern ETL/ELT and orchestration to data warehouses and columnar stores, from BI tooling for less-technical business users to SQL optimization
AI-native mindset: you’re already using AI tools in your daily work and you’re excited to push further
Experience with data warehouses such as Redshift or Snowflake (we use Redshift), data pipeline tools (we use Dagster), dbt, and medallion architecture
Proficiency in Python
Experience leading a horizontal Data Engineering team, working with analytics and product engineering teams
Mentorship experience, both of data engineers and members of other teams who have to touch data products
Excellent written and verbal communication
Bias toward action and process-building; you don’t wait for someone to hand you a playbook
Comfortable in ambiguity; you can build structure where none exists without losing momentum
New York City based; able to be in-office 3–4 days per week
Compensation and Benefits
Our salary ranges are based on paying competitively for our size and industry, and are one part of our total compensation package that also includes benefits and equity. Pay decisions are based on a number of factors, including scope and qualifications for the role, experience level, skillset, and balancing internal equity relative to other Coast employees. We expect the majority of candidates who are offered roles at Coast to fall healthily within the range based on these factors.
Salary range: $170,000 – $220,000 annually
Equity Grant: Meaningful potential upside given Coast’s early-stage trajectory
Benefits Overview
Medical, dental and vision insurance
Flexible paid time off (vacation, personal well being, paid holidays)
Tools to help manage your financial wellness, including webinars, access to an equity tax advisory service, and company-sponsored 401(k)
Paid parental leave
$400 accessories allowance (a keyboard, mouse, headphones, etc.)
Education stipend
Free lunch every Friday
Coast is committed to diversity, equity, and inclusion. We are building a diverse and inclusive environment, so we encourage people of all backgrounds to apply. We’re an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected by applicable federal, state, or local law.
Check out the latest podcast interview on Fintech One on One with Coast Founder Daniel Simon!
