Data Engineer - Remote Role
United States
Peek
Whether you're a local or planning your next trip, Peek is full of incredible experiences. Discover a new adventure with Peek.The Peek Pro software suite provides world-class online booking, point-of-sale, and hundreds of automation tools such as inventory management, dynamic pricing, waivers, and marketing analytics. Thousands of operators like the Museum of Ice Cream, Artechouse, and Pennekamp State Park have grown their business and automated their operations with our technology.
Peek follows a “remote-first” philosophy, with our team of over 150 Peeksters distributed across exciting locales such as San Francisco, Salt Lake City, New York, Seattle, Chile, Colombia and beyond.
PS: Peek just made the 2021 Forbes America's Best Startups Employer list!
The Role
We are seeking a driven Data Engineer to help us define and realize our vision for trustworthy data across the company. High-quality data is fundamental to Peek's success as a rapidly growing startup. You will be part of building our Data Engineering practice and working with a variety of internal teams across engineering, product, and business functions to help them solve their data needs.
You can learn more about Peek’s tech stack here.
Our team is 100% remote, however, we prefer candidates in the same time zones as the greater United States (UTC-10 to UTC-4). English is our business language, and fluency is required.
#LI-Remote
Responsibilities:
- Leverage the full capabilities of DBT, Airflow, and the market of data pipeline products to transform varied and disparate data sources into performant, resilient, accurate, and understandable datasets, and provide them to Business Intelligence and onward data products
- Design, develop, and own data pipelines and models that power internal analytics for product and business teams.
- Drive the collection of new data and the refinement of existing data sources, develop relationships with production engineering teams to manage our data structures as products evolve.
- Improve our data visualization tooling and platform to help the team create dynamic tools and reporting.
Requirements:
- 2+ Years of experience in a Data or Analytics Engineering role, with a focus on ETL/ELT and data modeling
- Strong proficiency with SQL
- Experience working with relational databases (PostgreSQL, MySQL) and cloud data warehouses (BigQuery, Redshift, Snowflake)
- Experience with Python
- Experience with data transformation tools and techniques (Airflow, DBT)
Personal Attributes:
- Strong interpersonal communication skills: we work collaboratively to solve problems, and value team success over individual achievement. We love working with people who can ask hard questions, offer unusual solutions, and are willing to compromise when solving challenging problems on a deadline.
- Comfortable working remotely: we are 100% remote, and rely on Slack, email, Signal, and Zoom to stay connected.
- Well organized and self-motivated: we work in a fast-paced environment, our teams are growing, and our priorities shift on a quarterly basis as we move into new markets.
- Advocate for self-care while managing a high workload: we want you to show up as your best self, and to speak up for what you need to stay healthy and engaged.
Benefits:
- United Healthcare PPO or HSA options
- Monthly Work from Home Allowance
- Monthly Health and Wellness Allowance
- 10-days of accrued PTO annually
- 2-weeks paid company holiday recharge break in December at Christmas
- 8-additional paid company holidays
- 401k with company match
Physical/Mental Requirements
- Work on a computer an average of six hours per day
- Extended periods of concentration
- Ability to speak in front of groups of people via Zoom
- Frequent communication (Internal – 90%; External – 10%) (written / verbal)
- Sitting or standing for extended periods of time
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow BigQuery Business Intelligence Data pipelines Data visualization ELT Engineering ETL MySQL Pipelines PostgreSQL Python RDBMS Redshift Snowflake SQL
Perks/benefits: 401(k) matching Health care Startup environment Wellness
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