Data Analytics Engineer II
Barcelona
Rover.com
We believe everyone deserves the unconditional love of a pet—and at Rover, our mission is to make it easier to experience that love. Founded in 2011, the Rover app and website connect dog and cat parents with loving pet sitters and dog walkers in neighborhoods across the US, Canada, and Europe. We empower our community of trusted pet sitters and dog walkers to run their own pet care businesses on Rover with the tools and security of a global company to back them.
Headquartered in Seattle, Washington, we work closely with our teams in Barcelona, San Antonio, Spokane, and remote locations. We’ve got a reputation for being a great place to work, having been named among the 100 Best Companies to Work For in Seattle Business Magazine and Washington’s Best Workplaces in the Puget Sound Business Journal. We're an agile, fast-growing company, and our leadership comes from some of the world's most respected tech companies.
At Rover, our furry coworkers are just as important as our human ones—and we wouldn’t have it any other way. Along with making the joys of pet parenthood more accessible, we’re committed to fostering a diverse, inclusive, and welcoming community of pet people—and that starts with our employees.
Data Engineering at Rover:Data powers everything at Rover. Our team works closely with all parts of the organization to ensure that the data the business relies on is fresh, accurate, and reliable and that our reporting infrastructure meets the needs of everyone from analysts to the C-suite.We own and maintain the data infrastructure and tooling used all throughout Rover. Our team is taking on a new Analytics Engineering function, aiming to empower Rover’s Analysts and Data Scientists by building high quality and easy to use datasets. We’re looking for someone excited to partner closely with our stakeholders, dive deep into the data needs of our business, and build highly impactful data products and pipelines!
Your Responsibilities:
- Lead and contribute to cross team data projects to ensure our data pipelines are reliable, efficient, and testable
- Work with internal stakeholders to ensure data products align with business goals, proactively surfacing areas of improvement
- Identify areas of improvement throughout Rover’s data ecosystem to build out the Analytics Engineering portion of our roadmap
- Deliver well-defined, tested, documented, and code-reviewed ETL/ELT pipelines and DBT models
- Build and maintain self-service tools and data products that empower engineers, data scientists, and analysts to quickly get key business insights
- Enable the effective usage of our platform by partnering with Product Engineering, Data Science, and Analytics
- Investigate and solve data related bugs and technical issues efficiently within our Data Platform tooling and DBT models
You might be a good fit if you have:
- 4+ years of Data/BI/Analytics/Software engineering, data science, or similar experience
- Expertise in Python with a passion for writing high-quality code
- Advanced SQL skills with experience writing/tuning/debugging queries against large datasets from multiple sources
- Experience building, maintaining, and collecting requirements for high quality datasets that meet the needs of our stakeholders
- Excellent communication skills and the ability to collaborate with technical and non-technical teams
- Experience building ETL/ELT pipelines that are reliable, properly monitored, and easy to maintain
- Familiarity with the majority of our tech stack: Python, DBT, Dagster, Redshift, Kubernetes, and Terraform
Bonus Skills:
- Familiarity with data governance best practices, such as implementing and maintaining data policies, standards and procedures
- Experience with Sagemaker, ML Flow, and/or other ML Ops related tooling
Benefits of working at Rover:
- Competitive compensation
- Long-term incentive plan with a company performance-based cash payout
- Permanent contract
- Pension Plan
- Meal tickets through Cobee
- Generous PTO Allowance
- Hybrid schedule
- Private health insurance
- Discounted Gym Membership
- Bring your dog to work (and unlimited puppy time)
- Monetary help for adopting a dog plus yearly credit to use on our platform
- Flexible work hours, sometimes you’ll need to be in at certain times, but on the whole, we’re pretty flexible when it comes to managing workload and time
- Grab snacks, fresh fruit, in our kitchen to keep yourself going
- Regular team activities, including happy hours, game nights, and more
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Dagster Data Analytics Data governance Data pipelines dbt ELT Engineering ETL Kubernetes Machine Learning Pipelines Python Redshift SageMaker Security SQL Terraform
Perks/benefits: Competitive pay Fitness / gym Flex hours Flex vacation Health care Insurance Team events Unlimited paid time off
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