Data Engineer, Slack

A global cloud-based software company that provides customer relationship management and enterprise solutions.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer, Slack

Slack's Data Engineering team is a crucial part of Salesforce's analytics infrastructure, working alongside the centralized Analytics team to drive data-driven decision making across the organization. As a Data Engineer, you'll be instrumental in building and maintaining infrastructure that powers Product, Analytics, Marketing, Sales, and Operations functions. The role involves developing innovative data solutions using industry best practices and cutting-edge approaches.

The position offers an opportunity to work with engineering teams on data infrastructure while collaborating with business partners across major organizational functions. You'll be responsible for anticipating data needs and developing solutions for complex business problems. The role is foundational in helping the organization understand user behavior and transform insights into actionable improvements for the product and business operations.

The ideal candidate should be passionate about seeing projects through to meaningful impact and have a strong background in data warehousing, Python development, and cloud services. You'll work with various technologies including Airflow, DBT, SQLAlchemy, and cloud platforms like AWS. The role requires both technical expertise in building scalable data pipelines and strong communication skills to collaborate effectively with cross-functional teams.

Working at Salesforce means joining a company committed to improving the world through technology and equality. The company offers comprehensive benefits and maintains a strong focus on creating an inclusive workplace environment. This role provides an excellent opportunity to impact the entire organization while working with cutting-edge data technologies and a talented team of professionals.

Last updated 10 minutes ago

Responsibilities For Data Engineer, Slack

  • Work alongside and support a talented team of data engineers
  • Architect, build and maintain scalable automated data pipelines
  • Work with Salesforce's data ingestion, data platform and product teams
  • Develop data set processes for data modeling, mining and production
  • Integrate new data management technologies and software engineering tools
  • Support regular ad-hoc data querying and analysis
  • Monitor, QA, translate, collaborate with business teams to ensure data quality

Requirements For Data Engineer, Slack

Python
Linux
PostgreSQL
  • 3+ years experience in data warehousing environments
  • Experience with developing robust Python applications
  • Experience working with Linux and debugging performance issues
  • Strong background in Data Warehousing concepts and schema design
  • Experience with Python tools like Airflow, DBT, SQLAlchemy, pandas, Jupyter
  • Experience building and launching efficient data pipelines
  • Strong experience with RDBMS & MPP databases
  • Experience in building data pipelines using Spark with Airflow
  • Cloud services experience preferably with AWS
  • Strong communication skills, empathy, and initiative

Benefits For Data Engineer, Slack

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Comprehensive medical, dental, and vision insurance
  • 401k benefits
  • Equity compensation
  • Location-based compensation

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