Senior Data Engineer
Lumenalta
Job Overview
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Job Description
About the Role
Join Lumenalta as a Senior Data Engineer, where you will be instrumental in designing and building robust data platforms for global enterprises. Our projects involve handling large-scale datasets, constructing complex distributed pipelines, and delivering significant business impact through digital products used by millions. This is a hands-on senior individual contributor role, offering strong influence on architecture and implementation within our remote team.
What You'll Do
- Design, build, and maintain scalable ETL / ELT pipelines leveraging Databricks, PySpark, and AWS.
- Work with large, complex datasets in production environments, ensuring data integrity and performance.
- Write clean, efficient, and maintainable Python and advanced SQL code for data solutions.
- Take ownership of building new data pipelines from conception to deployment, not just maintaining existing ones.
- Ensure high standards of data quality, performance, reliability, and cost efficiency across all data solutions.
- Collaborate closely with product, analytics, and engineering teams to translate business requirements into effective technical solutions.
- Contribute significantly to architectural decisions and champion data engineering best practices within the team.
What We’re Looking For
- 7+ years of experience as a Data Engineer.
- Strong, hands-on experience with Python, advanced SQL, PySpark, and Databricks (production experience required).
- Proven expertise in designing and building end-to-end data pipelines.
- Solid understanding of distributed data processing concepts and data modeling principles.
- Strong communication skills, with fluency in both written and spoken English.
Work Arrangement & Location
This is a fully remote position, open to candidates based in Europe or regions with compatible time zones. To facilitate effective collaboration with our clients and team, candidates must be able to maintain a 6-hour overlap with Eastern U.S. business hours.
Application Deadline
This role is an evergreen position with applications accepted until February 27, 2026. Lumenalta continuously builds its talent pipeline, and the position may be reposted.
Key Skills/Competency
- Data Engineering
- Databricks
- AWS
- PySpark
- Python
- SQL
- ETL/ELT
- Data Pipelines
- Distributed Data Processing
- Data Modeling
How to Get Hired at Lumenalta
- Research Lumenalta's culture: Study their mission, values, focus on data platforms, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your resume to highlight experience with Databricks, AWS, PySpark, Python, and scalable data pipeline architecture relevant to Lumenalta.
- Showcase distributed data expertise: Prepare to discuss your experience designing and implementing solutions for large, complex datasets and distributed processing during Lumenalta interviews.
- Demonstrate collaboration skills: Emphasize your ability to translate business needs into technical data solutions and work effectively with product, analytics, and engineering teams.
- Prepare for technical depth: Expect in-depth questions on advanced SQL, PySpark, and Databricks architecture, demonstrating your hands-on production experience with Lumenalta's core technologies.
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