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A leading technology company is seeking a Senior Data Engineer to lead data initiatives using Databricks and GCP. The ideal candidate will have over 5 years of experience in building scalable data platforms and pipelines. The position offers 100% remote work, with highly competitive pay in USD, and a focus on work-life balance and well-being. Responsibilities include designing data pipelines and collaborating with cross-functional teams. Candidates must hold a Bachelor's degree in Computer Science or a related field.
1 day ago — Be among the first 25 applicants.
We're seeking a senior, self-driven Data Engineer who can lead the design and implementation of clean room and identity graph solutions.
This role requires someone comfortable meeting with senior leaders, articulating technical work clearly, estimating project scope, and owning complex data engineering initiatives end to end.
You will operate across Snowflake, BigQuery, and AWS / GCP environments to build scalable, efficient data systems powering consumer identity and analytics use cases.
A technology-led marketing organization focused on building advanced analytics, measurement, and modeling solutions for global brands.
The company specializes in modern data platforms, clean rooms, and identity resolution at scale.
Lead the design and implementation of scalable data pipelines using Databricks and GCP (BigQuery, Cloud Storage, Cloud Composer, etc.).
Build and optimize data transformations, ingestion layers, and processing workflows to support clean room and identity graph workloads.
Develop identity graph structures, identity stitching processes, and privacy-preserving data integrations.
Partner with product managers, data scientists, and senior technical leaders to understand data requirements and deliver robust engineering solutions.
Present technical designs, project plans, and effort estimates to senior leadership with clarity and confidence.
Ensure pipeline reliability, cost optimization, and performance tuning across GCP and Databricks environments.
Collaborate with cross-functional teams to design and support consumer identity, audience modeling, and clean room use cases.
Maintain clear documentation of architectures, workflows, standards, and best practices.
5+ years of experience in Data Engineering, building scalable data platforms and pipelines.
Strong, hands‑on expertise in Databricks, GCP and BigQuery.
Deep understanding of distributed systems, data architecture, and ETL / ELT patterns.
Experience with identity resolution, identity graphs, or consumer data engineering is a strong plus.
Excellent problem‑solving skills with attention to detail.
Strong communication skills with the ability to articulate work to technical and non-technical leaders.
Ability to work independently, drive complex initiatives, and take ownership of deliverables.
Bachelor's degree in Computer Science or a related field.
100% Remote Work : Enjoy the freedom to work from the location that helps you thrive.
All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay : Earn an excellent, market‑leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off : We value your well‑being.
Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy : Enjoy the freedom to manage your time as long as the work gets done.
Focus on results, not the clock.
Work with Top American Companies : Grow your expertise working on innovative, high‑impact projects with industry‑leading U.S. Companies.
A Culture That Values You : We prioritize well‑being and work‑life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network : Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals : Join forces with senior talent.
All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
Seniority level
Mid‑Senior level
Employment type
Full-time
Job function
Information Technology
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.