Staff (Sr.) Data Engineer

Why you should check us out

Avail is a car sharing service to help people get where they want to go–whether that’s to run errands, take an unforgettable road trip, or explore a new city–while helping locals earn cash from their unused cars. We are passionate about making shared transportation safe, simple, and affordable, and redefining what it means to own a car.

We’ve assembled some of the sharpest folks from across industries to compete against the antiquated system of traditional car rental. We put ideas into action and learn along the way in an open, collaborative work environment. As a part of Avail, you’ll make a direct impact and help build a business from the ground up. No matter where you’ve been, we’re always looking for fresh thinking and new perspectives.

Plus, come as you are. We want you to be yourself. Our boss wears Grateful Dead t-shirts to work most days, and we work remotely from anywhere in the US.

You can apply here, or reach out to [email protected] for more info. Please include your resume.

Summary

As part of the Avail Data Engineering team, you will be working to manage our ever-growing collection of vehicle sharing and usage data. We support our business analytics and marketing teams by performing data integration and ETL between an increasingly diverse set of data sources and our data warehouse. We will also build big-data applications leveraging techniques from operations research and machine learning to directly enrich, personalize and optimize the Avail car-sharing product. This is a green field opportunity to contribute to the design and implementation of a flexible, scalable data framework for an exciting new sector of the sharing economy.

Job Description

• Design and implement scalable data workflows and pipelines, and integrate diverse data sources and sinks
• Design appropriate complex database schemas and optimize database deployment architectures for analytics query loads
• Implement data transforms and organization for various data stores (data lakes and warehouses)
• Design and implement new platform architectures for building and serving computationally challenging machine learning models under tight response time requirements
• Provide tooling and automation for infrastructure, continuous testing, and continuous deploy of data systems
• Work with the platform operations team to monitor and maintain live production systems

Job Qualifications

Education and Experience

• 6 or more years of related experience
• Bachelor’s degree or equivalent experience

Functional Experience

• Experience in best practices for building secure and high-performance integrations for data ingestion from external data sources and APIs
• Experience in creating maintainable and scalable ETL data pipelines
• Advanced experience in Data Modelling or Data Warehousing and creating ETL pipelines
• Advanced skills in software engineering and SDLC (our stack includes Python and Rust).
• Must consider code readability, reuse, and extensibility a priority when developing solutions.
• Demonstrated experience in performing operations and automation of various data ecosystems in production environments on AWS or a related cloud service

You can apply here, or reach out to [email protected] for more info. Please include your resume.

Compensation range for this position is $96,500 – $174,600 per year, based on experience and qualifications.

That’s the day to day, here’s the bigger picture.

Avail was founded by The Allstate Corporation in 2018. But you’ll be working for (and at) Avail. Our work environment blends the ingenuity and flexibility of a startup with the scale and strengths of a Fortune 100 company. Perks include a generous PTO policy, flexible working options, and a focus on leadership, wellness, and culture. We also offer 401k, health insurance, and other employment benefits for your future.

See a job you love? We encourage you to apply, even if your experience isn’t a perfect match.

Learn more about life at Avail. Connect with us on Instagram and LinkedIn.

We generally do not sponsor individuals for employment-based visas for this position.

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