Data Engineer, Workstream

• 4–7 years of experience in data engineering, analytics engineering, or data science in a high-growth B2B SaaS environment
• Strong command of SQL and Python for building and automating data workflows
• Experience designing and maintaining data warehouses (Snowflake preferred) and building pipelines from scratch
• Familiarity with integrating data into Salesforce or other CRMs via APIs, Bulk API, or reverse ETL tools
• A creative, hacker mindset: comfortable sourcing and cleaning messy external datasets, using scrapers, APIs, and enrichment tools
• Ability to operate independently with limited structure—comfortable owning a greenfield project end-to-end
• Strong business judgment and communication skills; able to work cross-functionally and explain technical concepts to non-technical stakeholders

Desirable

• Workstream is looking for a Data Engineer to design and build the data foundation for our outbound ICP and lead scoring engine
• This role will own the architecture, pipelines, and data models needed to ingest millions of external signals (reviews, marketplace listings, website data, POS integrations), transform them into usable insights, and feed predictive scoring models that will directly guide our sales and marketing teams
• You’ll sit at the intersection of data engineering, growth, and go-to-market strategy, enabling smarter targeting and more scalable outbound
• This is more than a back-end engineering role; we're looking for someone who can move fast, think creatively, and take ownership of a net-new project with direct business impact
• You’ll collaborate with data science, RevOps, and GTM leaders to bring the system to life—and you’ll be the single-threaded owner of its success
• Design and implement a scalable data warehouse and ETL pipelines to consolidate large volumes of third-party and internal data
• Build reliable data models that capture firmographics, technographics, marketplace volume, location signals, and outreach history
• Ensure data quality, deduplication, and enrichment processes are automated and scalable
• Partner with data science to productionize account scoring models (Expected GMV, E-Win Rate, etc.)
• Continuously expand and refine the dataset by adding new signals (reviews, POS adoption, competitive presence)
• Ensure scoring outputs integrate cleanly into Salesforce and other GTM systems to drive real-time usage
• Collaborate with GTM leaders to align the scoring system with outbound workflows, BDR routing, and marketing campaigns
• Translate business requirements into technical specifications, ensuring the system serves multiple teams (Sales, SDRs, Marketing)
• Support experimentation with outbound messaging by capturing feedback data and routing it into the scoring loop
• What Success Looks Like in This Role
• Establish a reliable, scalable data foundation that consolidates external signals and internal activity into one source of truth
• Deliver an ICP and lead scoring system that is actively used by sales and marketing to prioritize accounts and improve outbound efficiency
• Create clear pathways for integrating scores and insights into Salesforce and other GTM tools so adoption is seamless
• Build a repeatable process for expanding the system with new data sources, ensuring it continues to get smarter and more valuable over time
• Earn trust across data science and GTM by moving fast, showing tangible business impact, and setting a high bar for data quality
• Position the system as a long-term growth engine, not just a one-off project, with room to evolve into broader RevOps and go-to-market intelligence