Data Engineer II
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Requirements
• You have at least 3+ years of professional experience working in a product-driven environment. • You have experience working with high-volume, heterogeneous data using distributed systems and big data technologies such as Scala (e.g., Scio), Apache Spark, or similar frameworks used for distributed data processing. • You are proficient in designing and building distributed data pipelines, preferably in Scala or Java, and demonstrating frameworks like Scio on platforms such as Dataflow. • You understand data modeling, data access, and data storage techniques, and can apply them to both batch and analytical processing (e.g., using BigQuery for analysis). • You value iterative software processes, data-driven development, reliability, and responsible experimentation, with attention to cost efficiency and standards in data engineering. • You thrive in collaborative environments and enjoy working with multi-functional teams. • You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people. • You are enthusiastic about learning more about turning research ideas into products operating at scale. • Where You'll Be • We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location. • This team operates within the EST time zone for collaboration. • The United States base range for this position is $125,300 - $179,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future. • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Build and maintain large-scale data pipelines with data processing frameworks like Scio on Google Cloud Platform. • Leverage data engineering standard processes in continuous integration and delivery. • Help drive optimization, testing and tooling to improve data quality and reliability. • Collaborate with engineers, product managers, domain experts, and partners while taking on learning and leadership opportunities that arise every day. • Work in multi-functional, agile teams to continuously experiment, iterate, and deliver on new product objectives.
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