TL;DR

Senior Databricks Engineer (Data): Designing and implementing ETL/ELT pipelines and data lakehouse architectures with an accent on performance, scalability, and cost efficiency. Focus on integrating Databricks with major cloud services and troubleshooting data pipelines for reliability and accuracy.

Location: Onsite in Englewood, New Jersey, USA

Salary: $111,200–$187,740

Company

%hirify_global% is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world while creating tangible impact for enterprises and society.

What you will do

Understand data modeling, data warehousing, and performance tuning concepts.
Develop and maintain data lakehouse architectures for structured and unstructured data.
Optimize data workflows for performance, scalability, and cost efficiency.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
Monitor and troubleshoot data pipelines, ensuring reliability and accuracy.
Integrate Databricks with cloud services (AWS, Azure, or GCP) and other enterprise systems.

Requirements

5+ years of experience in designing and implementing ETL/ELT pipelines using Databricks and Apache Spark.
Strong proficiency in Python, SQL, and PySpark.
Knowledge of Delta Lake, data lakehouse concepts, and streaming data.
Familiarity with CI/CD pipelines, version control (Git), and DevOps practices.
Hands-on experience with cloud platforms (AWS, Azure, or GCP).
Work authorization for the USA is required.

Culture & Benefits

Comprehensive, non-negotiable benefits package for regular, full-time employees.
Paid time off, including vacation (12-25 days depending on grade), company paid holidays, personal days, and sick leave.
Medical, dental, and vision coverage.
Retirement savings plans (e.g., 401(k) in the U.S.).
Life and disability insurance.
Employee assistance programs.

Senior Databricks Engineer (Data Engineering)