Senior Data Engineer

Salesforce

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Atlanta, GA
Salary
$172,500–$260,100 / yr
Posted
4 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $173k
This role $216k
$119k most similar roles pay here $275k

This role pays more than 82% of similar roles. Most pay $135,675–$211,200 — the shaded band above. At the midpoint, this role pays about $216k versus about $173k 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 107 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 97 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

Senior Data Engineer As a member of the Metrics Foundations team within Slack’s Data Engineering organization, you will build trusted, reusable datasets and metrics to power data-driven decision-making across the company. You will collaborate with Product, Data Science, and Analytics teams to translate complex business problems into scalable data models and technical solutions. Your daily responsibilities include designing and optimizing data pipelines that transform billions of records into actionable insights while ensuring high data quality and adherence to service-level agreements. To succeed, you must possess deep expertise in SQL and at least one programming language like Python or Java. You will work with large-scale technologies including Snowflake, Spark, Airflow, and Hive. The role focuses on solving the challenge of providing consistent, reliable information through centralized governance and robust data infrastructure within a complex, evolving ecosystem.

What does a Data Engineer earn?

Median $178950 from 228 postings across 59 companies.

See salary data

What you'll do

  • Translate complex business requirements from stakeholders into scalable data models and technical solutions.
  • Design, build, and scale data pipelines that transform large volumes of raw data into trusted datasets.
  • Manage the end-to-end lifecycle of metrics and analytical models from prototyping through production maintenance.
  • Establish and enforce data governance practices to ensure high quality, consistency, and reliable SLA performance.
  • Lead the technical strategy for data infrastructure across multiple teams and business domains.
  • Use AI-assisted development tools to accelerate engineering productivity while maintaining high code standards.
  • Mentor engineers and provide hands-on technical guidance to improve the organization's technical bar.

What we're looking for

  • You must have 8+ years of overall software engineering or data engineering experience.
  • You must have 5+ years of hands-on experience with data architecture, modeling, management, and metadata management.
  • You must have deep expertise in SQL and experience designing scalable data pipelines for large datasets.
  • You must be proficient in at least one programming language such as Python or Java.
  • You must have hands-on experience with Snowflake, Spark, Airflow, and Hive.
  • You must have experience with relational/NoSQL stores and various modeling approaches like star, snowflake, and dimensional schemas.
  • You must be familiar with data governance frameworks, SDLC practices, and Agile methodologies.
  • A Bachelor's degree in Computer Science, Engineering, or a related field is preferred (preferred).

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