Data Engineer - Databricks (Remote) 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 robust influence on architecture and implementation. Design, build, and maintain scalable ETL / ELT pipelines using Databricks, PySpark, and AWS 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 ~ 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 Flexible working hours in a remote environment. ~ Health insurance (medical and dental) for T4 Employees. ~ Full‑time Mid‑Senior level This is a fully remote position ; This is a full‑time position requiring a minimum of 40 hours per week, Monday through Friday . we’re always excited to connect with professionals who want to help us build the future. #