Senior Data Engineer, Enterprise Data Pipelines

Slack; San Francisco (CA); On-site; USD 173,000 - 260,000; Full time

Job summary

Slack is seeking a Data Engineer to join the Enterprise team working on GovSlack initiatives. You will design and scale batch and real-time data pipelines, partnering with product, analytics, and backend engineering to deliver trusted datasets across Slack’s enterprise base.

You’ll contribute to governance, data quality, and scalable data foundations, enabling leaders to understand adoption and health of Slack deployments. Strong Python/SQL skills and 5+ years in data roles are essential.

Qualifications

• 5+ years of experience in data architecture, data modeling, master data management, or metadata management.
• Hands-on expertise with relational modeling approaches — including columnar, star schema, snowflake, and dimensional modeling.
• Proven track record optimizing schemas, tuning SQL, and scaling ETL pipelines in OLAP and data warehouse environments.
• Experience with Airflow or a comparable workflow orchestration platform for data pipeline management.
• Strong proficiency in Python and SQL.
• Familiarity with data governance frameworks, SDLC, and Agile methodologies.
• Excellent written and verbal communication skills with the ability to partner effectively across technical and business teams.
• U.S. citizen or lawful permanent resident, willing to undergo a background check for GovSlack authorization.

Responsibilities

• Translate complex business requirements into scalable, reusable data models that are easy to understand and adopted across subject areas.
• Design, implement, and maintain data pipelines that deliver high-quality data under defined SLAs.
• Partner with product, analytics, and engineering teams to build trusted, well-documented foundational datasets aligned with business strategy.
• Champion data strategy across multiple teams and use cases, driving consistency and reliability at scale.
• Expand access to core company metrics through strong technical and process foundations.
• Identify, document, and promote data engineering best practices across Slack.

Skills

Data modeling

Python

SQL

Airflow

Data pipelines

Communication

Background check

Relational DBs

Tools

Airflow

Spark SQL

AWS

Hadoop

Apache Pinot

Flink

Scala

NoSQL

Job description

Slack is seeking a Data Engineer to join the Enterprise team working on GovSlack initiatives. You will design and scale batch and real-time data pipelines, partnering with product, analytics, and backend engineering to deliver trusted datasets across Slack’s enterprise base.

You’ll contribute to governance, data quality, and scalable data foundations, enabling leaders to understand adoption and health of Slack deployments. Strong Python/SQL skills and 5+ years in data roles are essential.