Data Engineer at Dream Dinners La Mesa

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Dec, 25

Salary

150000.0

Posted On

17 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, Data Science, SQL, Python, Data Warehousing, ETL Pipelines, Salesforce Integration, APIs, Data Quality, Lead Scoring, ICP Modeling, Predictive Modeling, Communication Skills, Cross-functional Collaboration, Problem Solving

Industry

Software Development

Description

Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive. Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue. Grow With Us 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. Day in the Life Data Infrastructure & Pipelines 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. Lead Scoring & ICP System 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. Business Enablement 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. Who You Are 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. Nice to Have Experience with lead scoring, ICP modeling, or sales intelligence systems. Familiarity with dbt, Airflow, or other data pipeline orchestration tools. Exposure to lightweight ML frameworks (XGBoost, logistic regression) for predictive modeling. Prior startup experience where you’ve built data systems from scratch. 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. Working at Workstream We operate with urgency, ownership, and a growth mindset. This is not a traditional 9-to-5 role—we value accountability, flexibility, and getting results. If you thrive in high-growth environments and are passionate about building from scratch, we’d love to connect. What We Offer A mission-driven and value-based company dedicated to empower deskless workers and local businesses An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career Competitive salary and equity Work directly with the founding team and industry veterans to accelerate your career Competitive salary and equity Comprehensive health coverage: medical, dental, and vision. We pay 95% of premiums for employees and 85% for dependents In-office amenities and stocked kitchen 401(k) Plan Pre-tax commuter benefits Learning and development stipend Salary In compliance with the California Pay Transparency Law, the salary for this role is $120,000 - $150,000 in SF Bay Area. This is not inclusive of our equity package. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data. Additional Information Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals.

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Responsibilities

Design and build the data foundation for outbound ICP and lead scoring engine. Collaborate with data science and GTM leaders to ensure the system serves multiple teams and drives real-time usage.