Job Role Insight
Date Posted
Mar 29, 2025
Location
Remote
Salary
$200,000 - $230,000 P/A
Job Type
Full-Time
Description
We are seeking talented Senior and Staff level Data Engineers to build a robust and scalable foundation for data onboarding. You will develop automated data ingestion pipelines and ad platform integrations, empowering our customers to maximize the value of their first-party data. You will be at the heart of our product, owning critical onboarding and analysis pipelines for a rapidly growing enterprise customer base.Your Mission
- Develop Scalable Data Ingestion: Build efficient data ingestion pipelines on Google Cloud Platform using Python and other appropriate languages.
- Drive Customer Data Onboarding: Own the onboarding process, helping customers seamlessly connect their data to our platform and execute experiments.
- Direct Customer Collaboration: Work directly with customers to understand their needs and propose tailored data onboarding solutions.
- Strategic Partnership & Optimization: Partner with science and engineering leaders to identify opportunities for friction reduction and customer satisfaction enhancement.
- Automate & Scale Onboarding: Design and implement automation strategies to scale the onboarding process.
- Explore Innovative Solutions: Research and evaluate new onboarding solutions and opportunities.
What You Bring
- Proven Software Engineering Experience: 4-7+ years of experience as a Software Engineer.
- Distributed Systems Expertise: Experience building and deploying large-scale distributed systems using Python, Go, Scala/Java, or similar languages.
- API Integration Mastery: Strong experience with third-party API integrations.
- Cloud Infrastructure Proficiency: Experience with cloud infrastructure (Google Cloud, AWS, etc.).
- SQL Database Expertise: Experience working with SQL databases.
- Quality & Reliability Focus: A commitment to building robust systems with performance metrics, monitoring, and graceful degradation.
Bonus Points
- Startup Experience: Experience working in early-stage startups.
- Infrastructure Management: Experience with build systems and infrastructure management tools like Terraform.
- Data Warehouse Expertise: Experience with data warehouses (Snowflake, BigQuery, RedShift).
- Advanced Education: BS/MS/PhD in Computer Science, Applied Mathematics, or a related field.
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