Data Engineer
Sketchy
Our Company
At Sketchy, we’re transforming how students learn by turning complex topics into unforgettable visual journeys. Our mission? To help students master challenging material, achieve higher scores, and bring their knowledge to life through interactive cases. Through a combination of art, science, and cutting-edge technology, we enable students to learn, retain, and practice—effortlessly. The short version? We’re here to make better clinicians.
Sketchy is seeking a Data Engineer who will be responsible for building and optimizing data pipelines and systems from the ground up. The Data Engineer will expand and enhance our data architecture while improving data flow and collection for cross-functional teams. This role is crucial for creating and maintaining a robust data foundation that supports decision-making across the organization.
Sketchy is hiring remote employees in these select US states: California, Colorado, Florida, Illinois, Massachusetts, Michigan, New Jersey, New York, Pennsylvania, Texas, Utah and Washington!
Responsibilities:
- Create and maintain optimal and robust data pipeline architecture
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery re-designing infrastructure for greater scalability and usability
- Build analytics tools that utilize the data pipeline and cloud based data warehousing to provide actionable insights
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
- You will design the data architecture and model relationships for all data systems
- Keep our data separated and secure across national boundaries through multiple data centers
What We’re Looking For:
- You have 5+ years of experience working on consumer web-based applications with modern development frameworks and platform technologies.
- You are knowledgeable of engineering fundamentals and architecture including distributed systems, ETL/ELT, SQL, NoSQL and cloud based services (preferably AWS)
- You have a strong SQL background and understand query analysis and the nuances of various RDBMS based platforms
- You have experience in cloud based data warehousing and modeling datasets to optimize data storage, retrieval, and performance
- You have are knowledgeable in building and optimizing data transformations using SQL-based tools (preferably dbt or Dataform)
- You are self-directed, requiring minimal supervision with the ability to think holistically around engineering challenges
- You are an adaptive, empathetic, collaborative and positive mindset
- You have excellent written and verbal communication skills, technical and otherwise
- You have experience designing and implementing app architectures and code that is both scalable, and performant.
- You have architected data workflows and data pipelines at scale.
- You have experience with modern tooling for instrumentation, monitoring, metrics and performance and cost analysis - Examples might include Data Dog, NewRelic, Heap, CloudHealth and so on.
If you don’t have 100% of the bullets listed above, that’s okay! We know there are no perfect applicants. If you are passionate about making a meaningful difference, we want to hear from you! Learn more about Sketchy’s culture at sketchy.com/careers.
Who you will work closely with
Jaimie Stein - Engineering Lead, Data
Vlad Iacob - Director of Engineering
Salary Range
$135,000 - $145,000
Our Perks
- Remote First - Make a difference from wherever you want to work.
- Flexible Time Off - We work smarter, not harder. No accruals, just real work-life balance.
- 100% Individual Health Coverage - We’ve got you covered!
- Equity - From day one, you’ll have a stake in our future growth.
- 401(k) - We support your financial future with up to 5% matching.
- Team Events - Get to know the team with virtual events, monthly outings, company retreats, and more.
- Annual Work Anniversary Stipend
- Monthly Wifi & Phone Reimbursement
- Short-Term & Long-Term Disability
Sketchy Group LLC is an Equal Opportunity Employer. All applicants will receive consideration without discrimination on the basis of race, religion, color, sex, age, sexual orientation, marital status, national origin, disability or any other basis prohibited by applicable law.