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Senior Data Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

Healthcare, Biotech, Pharma & Life Sciences

Posted 2 weeks ago

$160,000 - $200,000

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A fast-growing advertising technology company is seeking a Senior Data Engineer to help build scalable data infrastructure that powers advanced reporting and measurement solutions. The organization leverages AI, machine learning, and large-scale analytics to modernize television advertising, enabling businesses to make data-driven marketing decisions through innovative technology platforms.

Summary
The Senior Data Engineer will design, build, and maintain large-scale data pipelines that transform high-volume raw data into production-ready datasets. This role involves collaborating closely with data science, engineering, and product teams to deliver reliable, high-quality data products that support reporting, analytics, and business intelligence initiatives.

Responsibilities

  • Design, build, and own scalable ETL pipelines for processing large volumes of data
  • Transform raw data into curated, production-grade datasets for reporting and measurement products
  • Partner with data science teams to implement and validate analytical methodologies
  • Collaborate with backend and frontend engineers to develop efficient data-serving solutions
  • Work with product teams to translate business requirements into technical specifications
  • Ensure data quality through validation, reconciliation, and comprehensive testing processes
  • Optimize distributed data systems for performance, scalability, and reliability
  • Develop and maintain data models, schemas, partitioning strategies, and data contracts
  • Manage workflow orchestration, including pipeline scheduling, backfills, and failure recovery
  • Contribute to technical documentation, incident analysis, and continuous process improvements
  • Stay informed about emerging technologies, including AI-assisted software development and agentic engineering workflows

Qualifications

  • 5+ years of experience designing, building, and operating production ETL pipelines at scale
  • Strong programming skills in Python (or a similar language) and SQL
  • Hands-on experience with Spark or PySpark for large-scale data processing
  • Experience with modern data platforms such as Databricks and Delta Lake
  • Proficiency with workflow orchestration tools such as Airflow, including DAG design and pipeline management
  • Strong understanding of data modeling, schema design, partitioning, and analytics datasets
  • Experience ensuring data quality through validation, reconciliation, and methodology comparisons
  • Ability to troubleshoot and optimize distributed data systems for performance and scalability
  • Excellent written communication and cross-functional collaboration skills
  • Experience with OLAP databases such as ClickHouse is a plus
  • Interest in AI-assisted development, agent workflows, and modern software engineering practices is an advantage

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a specialist career platform for AI, Data & Cloud Engineering professionals, connecting top ML, data, and cloud talent with leading tech employers hiring across the San Francisco Bay Area.

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SpringCube Tech Jobs Pte Ltd
  • 10 Anson Road #33-04A
    International Plaza
    Singapore 079903
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