[Hiring] Senior Data Engineer @Salesloft

Role Description

At Salesloft, our Senior Data Engineers build the pipelines and infrastructure that move, transform, and secure data across the company. You will build the data foundations that power our security analytics, internal reporting, and the trustworthy data flows the business depends on — engineering pipelines that are reliable, well-governed, and built to scale.

This is a hands-on data engineering role with real ownership. You will:

• Design, build, and maintain scalable data pipelines that move and transform data across systems reliably.
• Model and structure data for analytics, reporting, and security use cases.
• Ensure data quality, lineage, and governance across the pipelines and datasets you own.
• Build and maintain the data infrastructure that powers security analytics and internal decision-making.
• Partner with security, analytics, and business teams to deliver trustworthy, well-governed data.
• Automate and harden data workflows, treating reliability and security as first-class concerns.

This role lives at the heart of how we Make Your Mark: you'll build durable, well-governed data infrastructure and fix root causes of data quality issues rather than patching pipelines each time they break.

In the spirit of how we are Customer Inspired — where every decision has a true north, and it's our customer — you'll engineer data flows that respect the security and privacy of the data customers trust us with.

Qualifications

• Strong experience as a data engineer building and maintaining production data pipelines.
• Proficiency in SQL and a major programming language (e.g., Python) used for data engineering.
• Experience with modern data pipeline and orchestration tooling and cloud data platforms.
• Solid understanding of data modeling, data quality, and governance practices.
• Experience with cloud infrastructure (AWS or GCP).
• Experience building data infrastructure for security analytics or other sensitive-data use cases.
• Familiarity with streaming data systems (Kafka, Kinesis) and modern warehouse/lakehouse platforms.
• Exposure to data infrastructure supporting AI/ML workloads.

Benefits

• For more information about our company's comprehensive benefits please visit: Salesloft Benefits
• We are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive.
• We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.
• We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.
• If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply.