Senior/Lead/Principal Data Engineer, Salesforce
$172-334.6k
World's leading CRM provider
Job no longer available
World's leading CRM provider
1001+ employees
Job no longer available
$172-334.6k
1001+ employees
Company mission
To empower companies to connect with their customers in a whole new way.
Role
Who you are
- This isn’t a typical data engineering role. We’re looking for creative, systems-minded engineers working outside of the “data engineer” box, fluent in both data and AI, and excited to navigate ambiguity, cross boundaries, and drive real impact
- 5+ years of experience in data engineering, with strong software engineering fundamentals
- Expertise with big data frameworks: Spark, Trino/Presto, DBT
- Experience with streaming systems like Flink and Kafka, incl. distribution strategy (topics & partitions)
- Solid understanding of semantic layers, data modeling, and metrics systems
- Experience with cloud infrastructure, particularly AWS (e.g., S3, EMR, ECS, IAM), Containerization
- Bonus: fluency in AI data engineering patterns and tools like MCP
- Bonus: experience with knowledge graphs and modern metadata systems
- Bonus: experience with Snowflake
- Strong communicator and collaborator — comfortable working across teams and domains
- Curious, pragmatic, and impact-driven mindset
What the job involves
- We’re building the product data platform that will power Salesforce’s next era of agentic intelligence — delivering smarter, adaptive, and self-optimizing product experiences
- As a Full-Stack Data Engineer, you’ll design and build scalable systems that process hundreds of thousands of context-rich product signals. These signals fuel analytics, customer-facing products, ML models, and autonomous agents
- You’ll work on:
- Near real-time and batch telemetry pipelines for trusted signal capture
- Semantic layers and data products for reusable insights
- Programmatic discovery via metadata, MCP, and knowledge graphs
- Build and scale fault tolerant batch and streaming data pipelines using Spark, Trino, Flink, Kafka, DBT
- Design programmatic consumption layers to make product signals easy to define, discover, and reuse
- Apply software engineering best practices to data systems: testing, CI/CD, observability
- Evolve systems to support not just human analysis, but autonomous agent reasoning
- Contribute to a trusted data foundation powering decisions, AI agents, and adaptive products
- Collaborate across orgs with telemetry engineers, product leaders, data scientists, and AI builders
Our take
Salesforce is a global cloud computing company, best known for its on-demand, comprehensive customer relationship management (CRM) solutions. The company was launched to mitigate the doubts that business owners felt regarding third party companies holding their data.
By providing essential, customer-oriented CRM software, Salesforce places itself at the heart of digitised businesses. Furthermore, by building out its AI capabilities, the company removes the complexity of AI, enabling any business to deliver smarter, personalised and more predictive customer experiences.
Due to the continued innovation offered by the company, over 150,000 companies, both big and small, are growing their business with Salesforce today. Despite a tumultuous 2023 filled with activist investors, a boardroom shake-up and the unprecedented step-down of Co-CEO Bret Taylor, Salesforce continues to close several acquisition deals and managed to drive up its stock value by 96% from the end of 2022 to 2023.
Steph
Company Specialist at Welcome to the Jungle
Insights
-8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2001
$46.9m
SERIES D
Nov 1999
$13.2m
SERIES C
Total funding: $64.5m
Company benefits
- With 9 standard holidays and four floating holidays, you get a total 13 paid days off each year
Company HQ
Financial District, San Francisco, CA
Leadership
Marc Benioff
(Chair & CEO)Previously Senior Vice President at Oracle Corporation for 13 years.
Parker Harris
(CTO)Previously worked as a Software Engineer for over six years. Harris also co-founded Left Coast Software.
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