Similar Jobs
Healthtech
Lead performance investigations across the data product stack to diagnose and fix slow queries and UX issues. Design data architecture changes, build benchmarks, measure latency/throughput/cost (ClickHouse Cloud), prototype solutions, instrument monitoring, and partner with product and engineering to balance responsiveness, scalability, and cost.
Top Skills:
APIsBenchmarksClickhouseClickhouse CloudColumn-Oriented DatabasesData WarehousesProduction TelemetryPythonQuery ProfilingSQL
Artificial Intelligence • Cloud • Enterprise Web • Fintech • Software • Analytics • Infrastructure as a Service (IaaS)
Lead full sales cycle for Microsoft Azure enterprise accounts, generating pipeline via inbound/outbound and partner channels, collaborating with Microsoft and internal teams, forecasting in CRM, driving customer events, and advocating customer needs to shape product and GTM strategy in the FinOps space.
Top Skills:
AppsourceAWSAzure MarketplaceCRMGCPAzureMicrosoft Co-SellNops
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Act as a strategic partner for automotive dealerships to drive adoption and performance of Dealertrack and Xtime. Evaluate fixed-ops operations, run in-store and virtual engagements, identify gaps and upsell opportunities, manage at-risk accounts, and collaborate with sales and product teams to improve efficiency, profitability, and customer satisfaction.
Top Skills:
DealertrackDmsMS OfficeSalesforceXtime
A great candidate is excited to support our growing use of data, including working closely with the analytics and product engineering teams, to build a better user experience. Finally, they believe in Raya’s vision, which is to enrich lives by fostering relationships through quality, in person interactions.
As Raya’s first Data Engineer for Data Products, you will be a founding member of the data engineering team and will play a pivotal role in empowering the company to be data-driven. The ideal candidate is experienced and confident building out performant, impactful data models, and trhives in a collaborative environment where they can influence product and business decisions through data.
In this role, you will
- Architect complex, high-volume data pipelines for production use.
- Design and implement scalable data models serving multiple product and internal teams.
- Own data quality frameworks and standards across key data products.
- Build reusable patterns for transformations and metrics to drive efficiency.
- Define and maintain core business metrics and Key Performance Indicators (KPIs) in partnership with Analytics.
- Own the data products used across the company, ensuring reliability and performance.
- Set and promote standards for data modeling and pipeline development.
- Partner closely with Analytics, Data Science, and Machine Learning teams on requirements to reduce friction and accelerate their work.
- Mentor engineers and actively participate in the hiring process.
Qualifications
- 5+ years of experience in data engineering with a proven track record of successful data product development and oversight.
- Expert SQL and strong Python programming skills.
- Deep expertise in dbt or similar transformation frameworks.
- Strong data modeling experience across dimensional, activity schema, and similar patterns.
- Hands-on experience with data quality frameworks and performance tuning of data processes.
- Experience implementing both batch and streaming data processing patterns.
- Strong product thinking and stakeholder management skills.
- Excellent communication and collaboration skills to work effectively across teams.
Raya Los Angeles, California, USA Office
Raya is centrally located in Los Angeles. Our office is nestled among some of LA's best known sites, including LACMA and the Grove.
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
