> Markdown version of [/jobs/ext/2297177-sr-data-engineer-enterprise-slack](https://www.wearedevelopers.com/jobs/ext/2297177-sr-data-engineer-enterprise-slack). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Data Engineer, Enterprise - Slack - **Company:** Salesforce.com, Inc. - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $172,500.0 - $260,100.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Apache HTTP Server, Microsoft Azure, Big Data, Cloud Computing, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Stores, Data Warehousing, Dimensional Modeling, Apache Hadoop, Apache Hive, Python (Programming Language), Meta-Data Management, Online Analytical Processing, NoSQL, Systems Development Life Cycle, Standard Sql, SQL Databases, Snowflake, Backend, Data Strategy, Apache Flink, Star Schema, Data Management, Stream Processing, Data Pipelines - **Published:** August 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/16898316?backUrl=%2Fcareer%2F16898316%2FSr-Data-Engineer-Enterprise-Slack-Virginia-Mclean ## About the Role * 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 Bonus Points * Hands-on experience with Spark SQL, AWS (S3, EMR), Apache Pinot, or Hadoop/Big Data ecosystems * Experience with Flink or other real-time stream processing frameworks * Proficiency in Scala * Familiarity with cloud platforms (AWS, GCP, or Azure) * Experience with NoSQL data stores Unleash Your Potential ## Description As a Data Engineer on the Enterprise team, you'll partner cross-functionally with business stakeholders, analytics teams, and backend engineers to design, build, and scale both batch and real-time data pipelines. You'll contribute directly to initiatives that support key decision-makers within our enterprise customer base - helping them understand adoption, engagement, and the health of their Slack deployments. You'll also be a core contributor to GovSlack, our cross-team initiative to establish feature parity for U.S. government agencies and highly regulated organizations. This is high-visibility, high-impact work that matters beyond the product - it supports national infrastructure. We're looking for passionate, detail-oriented engineers who are excited about building a rock-solid data foundation and making a real impact at one of the world's most widely used collaboration platforms. What You'll Be Doing * 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)