Data Engineer

About Seasoned

Seasoned Inc. is a fast growing, well-funded startup focused on making an impact on the service and restaurant industry. Seasoned Inc. is the only social community exclusively for service industry workers near you. Workers use the Seasoned app to get interviews fast for local jobs and get daily support and advice from their service industry family. Business owners use Seasoned Recruit to hire service workers in 48 hours or less from our community of top restaurant talent. We’re offering restaurants something no one else in the market offers – a truly concierge experience to fill their open positions. http://www.seasoned.co/

About the team

We are a team inclusive of a myriad of cultural identity dimensions – representing but not limited to race, ethnicity, age, physical and mental ability, sexuality, and gender identity/expression. We pride ourselves on creating equity and inclusion for our clients, customers, and employees, and we understand that making a positive impact on an industry like hospitality requires diverse backgrounds, voices, and perspectives at the table.

We are a fully remote company with loosely connected hubs in Pittsburgh and San Francisco. Our team has a passion for learning, trying new things, and helping each other grow. We work hard and have fun, but we value flexibility and our many interests outside the office.  

Job Description & Responsibilities

As a Data Engineer you will work closely with engineering teams, data analysts, and product managers to build and maintain high-quality, scalable data infrastructure.

Responsibilities

Provide innovative solutions to complex business problems
Develop, review and debug code, following a high standard for quality code, test coverage, and avoiding shortcuts
Collaborate with both technical (data/software engineers) and non-technical (data analysts) teammates
Own pieces of the Seasoned data infrastructure
Continually improve the quality of the product and the process

Requirements

3 to 4 years of relevant experience
Proficiency with data models, pipelines, and ETLs (SQL/cron/Airflow)  
Experience with SQL for query design on large, complex datasets 
Experience with Python for data transformation and cleaning
Experience with automated unit tests
Ability to work independently as well as in small teams

Recommended

Experience with data streaming (CDC/Kafka/kSQL) technologies
Experience with monitoring tools for large-scale production systems
Knowledge of JavaScript
Ability to recommend continuous improvements to our data governance practices

Last thing: bring a sense of humor and a passion for learning. We are a team of diverse viewpoints and intellectual approaches, but we all agree humor and a thirst for knowledge make the team stronger (and more fun)!