Data Engineer - Databricks; Remote

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We work with global enterprises to design and build data platforms that power digital products used by millions of users. Our projects involve large-scale datasets, complex distributed pipelines, and real business impact.

We’re looking for a Senior Data Engineer to join our remote team and take ownership of building and scaling data solutions using Databricks on AWS
. This is a hands‑on senior IC role with strong influence on architecture and implementation.

• Design, build, and maintain scalable ETL / ELT pipelines using Databricks, PySpark, and AWS
• Work with large, complex datasets in production environments
• Write clean, efficient, and maintainable Python and advanced SQL
• Build pipelines from scratch
  , not just maintain existing ones
• Ensure data quality, performance, reliability, and cost efficiency
• Collaborate closely with product, analytics, and engineering teams to translate business needs into technical solutions
• Contribute to architectural decisions and data engineering best practices

• 7+ years of experience as a Data Engineer
• Strong, hands‑on experience with:
  Python, SQL (advanced), PySpark, Databricks (production experience required) and AWS
• Proven experience designing and building end-to-end data pipelines
• Solid understanding of distributed data processing and data modeling
• Fluent English
  , both written and spoken

This is a fully remote position open to candidates based in Europe or regions with compatible time zones
. To ensure effective collaboration with our client and team, candidates must maintain a 6‑hour overlap with Eastern U.S. business hours
.

This is an evergreen opening with no set deadline; we’re always excited to connect with professionals who want to help us build the future.

Mid‑Senior level

Full‑time

Engineering, Information Technology, and Consulting

IT Services and IT Consulting

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