Senior Data Engineer — Remote, Secure Data Pipelines

Salesloft; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Salesloft, Inc. is seeking a Senior Data Engineer to design, build, and scale data pipelines that support security analytics and trusted internal decision-making.

You will own end-to-end data infrastructure, focusing on reliability, lineage, and governance while partnering with security, analytics, and business teams. You will work in a remote-friendly environment and contribute to a team that treats data quality as a core priority, enabling safer and smarter revenue operations for customers

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.
• Exposure to data infrastructure supporting AI/ML workloads.

Responsibilities

• 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.

Skills

Data pipelines

SQL

Python

Cloud platforms

Data modeling

Tools

AWS

GCP

Kafka

Kinesis

Job description

Salesloft, Inc. is seeking a Senior Data Engineer to design, build, and scale data pipelines that support security analytics and trusted internal decision-making.

You will own end-to-end data infrastructure, focusing on reliability, lineage, and governance while partnering with security, analytics, and business teams. You will work in a remote-friendly environment and contribute to a team that treats data quality as a core priority, enabling safer and smarter revenue operations for customers