Remote Data Engineer: Databricks & PySpark Pipelines

Jobgether SRL; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Fully remote work

Health insurance

Dental insurance

Life insurance

Meal allowance

Learning platforms

Professional development

Job summary

Jobgether is seeking a remote data engineer to design and evolve scalable data solutions in cloud environments. You will build and optimize data pipelines using Databricks, Python, PySpark, SQL, and Delta Lake to support lakehouse architectures.

Responsibilities include ETL/ELT design, cloud-based data architectures, and collaboration with a learning-focused team that values autonomy and ongoing innovation.

Qualifications

• Strong hands-on expertise with Databricks and cloud-based data architecture.
• Proven experience designing and evolving data pipelines with ETL/ELT processes.
• Professional experience with Python, PySpark/Spark, SQL, and Delta Lake.

Responsibilities

• Design, develop, and evolve scalable data solutions within cloud environments.
• Build, maintain, and optimize data pipelines for processing and transforming large volumes of data.
• Use Databricks, Python, PySpark/Spark, SQL, Delta Lake, and Lakehouse architecture to deliver robust solutions.

Skills

Databricks

Python

PySpark/Spark

SQL

Delta Lake

Lakehouse

Tools

Databricks platform

Cloud data architectures

Job description

Jobgether is seeking a remote data engineer to design and evolve scalable data solutions in cloud environments. You will build and optimize data pipelines using Databricks, Python, PySpark, SQL, and Delta Lake to support lakehouse architectures.

Responsibilities include ETL/ELT design, cloud-based data architectures, and collaboration with a learning-focused team that values autonomy and ongoing innovation.