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JR-124399 Backlog Mid/Srs/Leads Databricks Engineer

United States · remote · Salary not listed

Role overview

We are seeking a Databricks Engineer to drive the design, development, and optimization of data pipelines and analytics solutions on the Databricks Lakehouse platform. This role is ideal for a hands-on technical leader who is passionate about big data technologies, cloud computing and enabling business insights through scalable data architectures.

Locations:

Serbia
Albania
Bosnia and Herzegovina
Montenegro
North Macedonia
Ukraine
Georgia
Argentina
Brazil
Estonia
Latvia
Lithuania
Finland
Romania
Hungary
Slovakia
Slovenia
Czech Republic

Requirements:

Bachelors or Master's degree in Computer Science, Information Technology, Engineering or related field;
5+ years of experience in Data Engineering or Big Data roles;
2+ years of hands-on experience with Databricks, Spark (PySpark or Scala) and Delta Lake;
Strong knowledge of cloud platforms (AWS, Azure or GCP) and modern data architectures (Lakehouse, Data Mesh, etc.);
Proficiency in SQL, Python and distributed data processing;
Experience with CI/CD, version control (Git) and DataOps in a data environment;
Deep understanding of data governance, cataloging and security concepts;
Experience leading a team or a project, acting as a team/tech lead of a project.

Nice to Have:

Databricks (Pro, Architect) certification - Experience with machine learning pipelines and MLOps in Databricks;
Exposure to streaming technologies (Kafka, Spark Structured Streaming);
Knowledge of DBT, Airflow or other similar transformation and orchestration tools.

Other skills:

Apply on source siteListed via Himalayas

English excellent written and verbal communication skills;
Ability to work in a global multi-cultural and multi-national company;
Ability to lead conversations with both technical and business representatives;
Proven ability to work both independently and as a part of an international project team.

Job Responsibilities:

Lead end-to-end development of data pipelines, ETL/ELT processes and batch/streaming solutions using Databricks and Apache Spark;
Design and implement Lakehouse architectures that align with business and technical requirements;
Collaborate with data scientists, analysts and engineers to deliver high-performance data products and ML features;
Define and enforce coding standards, best practices and performance tuning strategies across Databricks notebooks and jobs;
Optimize data models in Delta Lake and implement data governance standards using Unity Catalog;
Manage integration of data sources across cloud platforms (e.g. AWS, Azure, GCP) using native and third-party connectors;
Contribute to and lead technical reviews, architecture sessions and mentoring of less experienced engineers
Automate infrastructure deployment with tools like Terraform, Databricks CLI or others;
Ensure data platform solutions are secure, compliant, and scalable across global business units.

What We Offer:

Competitive salary;
100% remote opportunity;
Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);
Opportunities for professional growth and career advancement;
Collaborative and innovative work environment;
Paid time off, including holidays, vacation and sick leave;
Benefits may vary by location and will be confirmed during the interview process.

Job ID: JR -124399

Originally posted on Himalayas

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