Staff Software Engineer, Data Ingestion

🕒 6 days ago

🏄 California, Texas, +2 more states – Remote

🏄 California – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $197.3k - $313.7k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Design and develop highly scalable and resilient streaming and batch pipelines for ingesting and processing structured and unstructured datasets • Design and implement Slack’s Lakehouse solutions and enable production use cases for customers • Improve the reliability and performance of the services/pipelines through AI assisted and/or Agentic solutions and tools. • Automate and handle the lifecycle of datasets (schema evolution, metadata management, change and backfill management, deprecation and migration). • As one of the tech leads, comfortably collaborate with cross functional partners and lead technical initiatives independently end to end. • Be a role model and a multiplier, coaching and mentoring other engineers across the team and the org. • Write, review, or provide feedback on a technical design proposal from others.

🎯 Requirements

• U.S. citizenship and willing to undergo a background check for GovSlack authorization. • 7+ years of software/data engineering experience, including experience with building applications using Streaming and Lakehouse technologies, e.g. Kafka/Kafka Connect, Flink/Spark Streaming, Iceberg/Hudi/Delta or equivalent • hands on experience and knowledge on building and maintaining batch data pipelines using Spark, Airflow, EMR, S3 or equivalent • proficient in object-oriented and/or functional programming languages: SQL, Python, Java/Scala, Go or equivalent • skilled at crafting and building robust distributed microservices with tools like Kubernetes, Docker, AWS ECS/EKS, Terraform, Grafana, etc. • familiar with AI-assisted software development and automation and have hands on experience of Claude Code/Codex or equivalent • excellent written and verbal communication and interpersonal skills; able to effectively collaborate with cross functional partners and explaining sophisticated technical concepts to non-technical stakeholders.

🏖️ Benefits

• time off programs • medical • dental • vision • mental health support • paid parental leave • life and disability insurance • 401(k) • employee stock purchasing program