Databricks Data Engineer - Remote Python/Java

UST; Bentonville (AR); Remote; USD 94,000 - 141,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

UST is seeking a Databricks Engineer with 8–10 years of hands‑on experience in Python and Java, plus REST API development. The role emphasizes building scalable data pipelines, Databricks notebooks, and lakehouse architectures to deliver reliable data processing across platforms.

Location: Remote - US. Compensation ranges from $94,000 to $141,000 per year, with full‑time benefits and a focus on data quality and performance.

Qualifications

• Bachelor's degree or equivalent experience in computer science or related field.
• 8–10 years of hands-on Databricks, Python, Java experience.
• Strong experience with ETL, REST APIs, and data quality.

Responsibilities

• Develop reusable and efficient code for large-scale data processing workloads.
• Design, develop, and maintain scalable data processing solutions using Python and Java.
• Build and optimize data ingestion, transformation, and orchestration pipelines.
• Ensure data quality, reliability, and performance across data platforms.
• Develop and maintain Databricks notebooks and workflows.
• Design, implement, and optimize ETL/ELT pipelines in Databricks.
• Monitor pipeline health, troubleshoot failures, and improve processing efficiency.
• Collaborate with data architects to implement scalable lakehouse solutions.
• Design and develop RESTful APIs for data access and integration.

Skills

Data Analysis

Databricks

Java

Python

ETL

REST

Test Data Management

Education

Bachelor's Degree in Computer Science

Job description

UST is seeking a Databricks Engineer with 8–10 years of hands‑on experience in Python and Java, plus REST API development. The role emphasizes building scalable data pipelines, Databricks notebooks, and lakehouse architectures to deliver reliable data processing across platforms.

Location: Remote - US. Compensation ranges from $94,000 to $141,000 per year, with full‑time benefits and a focus on data quality and performance.