Data Engineer - Databricks (Remote)

Das ist der Job

Our projects involve large-scale datasets, complex distributed pipelines, and real business impact.

Darum lohnt es sich

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.

What You’ll Do • 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 What We’re Looking For • 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 Benefits • Flexible working hours in a remote environment. • Health insurance (medical and dental) for T4 Employees. • A professional development fund to enhance your skills and knowledge. • 15 days of paid time off annually. • Access to soft‑skill development courses to further your career.

Employment Type Full‑time Seniority Level Mid‑Senior level Location This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.

Data Engineer - Databricks (Remote) We work with global enterprises to design and build data platforms that power digital products used by millions of users. This is a hands‑on senior IC role with strong influence on architecture and implementation. Referrals increase your chances of interviewing at Lumenalta by 2x.

Additional Information This is a full‑time position requiring a minimum of 40 hours per week, Monday through Friday. 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.