Data Engineer: Build Scalable Cloud BI Pipelines

KUBRA; Tempe (AZ); On-site; USD 85,000 - 110,000; Full time

Benefits offered by this job

401(k) with company matching

Medical, dental, and vision coverage

Paid vacation and sick days

Paid volunteer days

Access to LinkedIn Learning

Job summary

KUBRA in Tempe is seeking a Data Engineer to develop data pipelines and support BI solutions. The ideal candidate will have a degree in Computer Science, strong experience in data engineering, and proficiency in Python, SQL, and AWS. Responsibilities include designing ETL pipelines and collaborating with BI Analysts. KUBRA offers competitive pay, comprehensive health coverage, and a culture that fosters innovation and teamwork. Join KUBRA to make a meaningful impact in customer experience management.

Qualifications

• 3–5 years of experience in data engineering, preferably in BI.
• Hands-on experience with AWS or other cloud platforms.
• Strong experience with Python, SQL, and Spark.

Responsibilities

• Design and build ETL/ELT pipelines using Python, SQL, and Spark.
• Develop data infrastructure across SQL Server and AWS.
• Support migration of systems to AWS cloud platforms.

Skills

Data pipeline construction

ETL/ELT with Python and SQL

Data infrastructure management

Cloud platforms (AWS)

Data modeling

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

AWS

Python

SQL

Spark

Databricks

Snowflake

Power BI

Job description

KUBRA in Tempe is seeking a Data Engineer to develop data pipelines and support BI solutions. The ideal candidate will have a degree in Computer Science, strong experience in data engineering, and proficiency in Python, SQL, and AWS. Responsibilities include designing ETL pipelines and collaborating with BI Analysts. KUBRA offers competitive pay, comprehensive health coverage, and a culture that fosters innovation and teamwork. Join KUBRA to make a meaningful impact in customer experience management.