This role pays more than
63%
of similar roles. Most pay
$159,300–$227,487
— the shaded band above.
At the midpoint, this role pays about
$216k
versus about
$193k
for comparable roles.
Based on 240 similar postings.
Employer
About Salesforce
Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing
Salesforce currently has
86 open roles
on FindRole.
Listed pay typically runs
$148,500–$260,100
across 77 roles with salary data.
As a Data Engineer on Slack’s Enterprise team, you will collaborate closely with business stakeholders and technical teams to design and build scalable data pipelines for enterprise customers. Your responsibilities include translating complex requirements into robust data models, implementing high-quality data pipelines under strict SLAs, and ensuring that foundational datasets are well-documented and aligned with the company's strategic goals. You will also champion best practices in data engineering across multiple teams and initiatives, such as GovSlack, which aims to establish feature parity for U.S. government agencies. This role requires 5+ years of experience in data architecture and modeling, proficiency in Python and SQL, hands-on expertise with relational modeling approaches, and familiarity with workflow orchestration platforms like Airflow. Additional skills in Spark SQL, AWS services, Flink, and cloud platforms are beneficial.
Remote (Los Angeles, CA)5 days ago
$180,000–$230,000
Snowflake
Python
SQL
dbt
Apache Airflow
AWS
Terraform
CI/CD
Data Warehousing
Star Schema
Data Modeling
Cloud Infrastructure
Infrastructure as Code
Pipeline Orchestration
Data Observability
Data Governance