Remote Data Engineer (Senior, GCP, Databricks) #26558
... create world-changing products using God-given talents . . .
PROJECT DESCRIPTION:
Our company is seeking a Senior Data Engineer for an ongoing engagement to help maintain and enhance key data pipeline infrastructure used by our engineers and analysts. This role will support the Data Transformation and Data Ingest domains within our larger engineering organization.
PROJECT STACK and TEAM:
Ongoing project
Primary Tech Stack: Google Cloud Platform, Databricks
6 hours overlap with EST.
Agile Methodology.
100 % Remote.
Full-Time Job.
Excellent communication skills in English are required.
Start Date: ASAP
MAIN REQUIREMENTS:
You are:
Experienced working with data pipelines in Databricks (ideally within Google Cloud Platform). You have 2+ years of experience working with lakehouse architecture in Databricks and 5+ years overall building data pipeline infrastructure. You are comfortable working with large structured and unstructured datasets and have exposure to Iceberg or Delta table formats. You have spent time optimizing Spark jobs to improve performance and manage cost.
Comfortable writing production Python and SQL. You have 3+ years of experience writing production Python (or Scala) code to ingest, wrangle and transform data. You are comfortable reading and understanding data models. You understand standard CI/CD concepts and advanced SQL.
GOOD TO HAVE:
An excellent communicator. You have strong English proficiency and are comfortable taking requests from stakeholders and translating them into clear technical requirements. You enjoy collaborating with analysts and other internal teams to proactively resolve their data issues and build tools that help make their processes more scalable and efficient.
A self-starter. You thrive on tasks that require you to extend yourself and learn new technologies and concepts. You take proactive ownership over the tasks assigned to you and always aim to leave the codebase in a better state than you found it. You are not afraid to provide solutions to complex problems.
JOB RESPONSIBILITIES:
Maintain and improve the major components for our data lake. Quickly learn the existing systems that are central to our core business. Understand the common issues that engineers and analysts encounter when operating with the existing infrastructure and how to prioritize them. Participate in roadmap planning and execution for optimizing existing features and building new ones.
Have a key role in managing our Databricks platform. Assist analysts to move their workflows to Databricks and optimize them. Help build and maintain our Unity Catalog. Own initiatives to scale infrastructure, manage permissions and control costs.
Collaborate with a team of engineers, data scientists, and product managers. We operate in a highly collaborative environment, which means you’ll interact with internal domain experts, product managers, engineers, and data scientists on a daily basis.
SUMMARY:
Work your way – Enjoy the freedom to work from anywhere, with flexible hours that match your natural rhythm.
Plenty of time to recharge – Take 15 paid vacation days, 10 additional unpaid days if needed, plus all national holidays.
Meaningful, long-term projects – Dive into exciting 1–5+ year projects using the latest in AI, cloud and more.
Support beyond the job – We help cover things like advanced language courses, gym memberships, and mentorship programs to help you grow.
Work with global clients – Collaborate directly with international teams to create real impact.
Make extra cash – Earn bonuses for referring great people or bringing in new business opportunities.
Great people, no micromanagement – Join a supportive, results-focused team where you’re trusted to do your best work.
This flexibility allows developers…
A better work-life balance
Increased productivity
The ability to work any time around the clock
Reduction in commute time
Design your ideal daily schedule.
Build a career, not just a job.
Work smarter, not longer.
More time with family and friends
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