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Design, build, and maintain production-scale data systems and web-scale datasets (Spark/Flink) to support personalization ML. Drive dataset/schema design, collaborate with algorithm teams, and improve distributed big-data processing for member experience.
Top Skills:
FlinkJavaScalaSpark
Healthtech • Software
Designs and improves prior authorization decision automation programs for PaaS healthcare clients. Consults with customers, translates requirements into technical blueprints, collaborates with product and engineering teams, develops performance roadmaps, analyzes healthcare data using SQL and BI tools, maintains dashboards, monitors KPIs, and identifies workflow improvements throughout the customer lifecycle.
Top Skills:
ExcelPlatform-As-A-Service (Paas)Power BIPowerPointSQLTableau
Healthtech • Software
Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.
Top Skills:
Ai ToolingExcelMicrosoft PowerpointPlatform-As-A-Service (Paas)Power BISQLTableau
The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix.
We are looking for Data Engineers to join our teams across PZN. You’ll be able to grow your skills in engineering at scale, drive long term platform vision, and join a high-energy, positive team environment!
What You'll Do
- Work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam.
- Develop, deploy, and operate Java services that impact millions of users.
- Work towards supporting machine learning projects powering the experience that suits each user individually.
- Collaborate with other engineers, product managers and stakeholders, taking on learning and leadership opportunities that will arise every single day.
- Deliver scalable, testable, maintainable, and high-quality code.
- Share knowledge, promote standard methodologies, making your team the best version of itself through mentorship and constructive accountability.
Who You Are
- You are familiar with the concepts of data modeling, data access, and data storage techniques.
- You are familiar with distributed data processing frameworks (ex: Beam, Spark).
- You want to work on a team employing agile software development processes, data-driven development, and responsible experimentation.
- You value opportunities to work collaboratively.
Where You'll Be
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
The United States base range for this position is $125,562 - $179,374 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. These ranges may be modified in the future.
Spotify New York, New York, USA Office
4 World Trade Center, New York, NY, United States, 10007
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
