Senior Data Engineer, PySpark/Databricks — On-Site Pasadena

Innovya Technologies; Pasadena (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Innovya Technologies in Pasadena, CA is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines using PySpark and Databricks. You will collaborate with analysts, scientists, and product teams to ensure high-quality data for analytics and reporting.

The role emphasizes performance tuning, data governance, and best-practices documentation while leveraging cloud data platforms and modern tools in a full-time, on-site capacity in Pasadena.

Qualifications

• Strong data engineering skills with scalable data pipelines.
• Experience with data modeling and warehousing design.
• Hands-on ETL development to integrate multiple sources.
• Analytics support for reporting and dashboards.
• Advanced PySpark, Databricks, and Python for processing.
• Experience with cloud data platforms and distributed processing.
• Knowledge of SQL/NoSQL, performance tuning, and optimization.
• Understanding of data governance, quality, and security.
• Bachelor’s degree or equivalent experience; cross-functional collaboration.

Responsibilities

• Design, build, and maintain scalable data pipelines with PySpark and Databricks.
• Develop and optimize data models and support data warehousing.
• Collaborate with data analysts, data scientists, and product teams.
• Tune performance, monitor data systems, and ensure security governance.
• Contribute to best practices and maintain documentation.

Skills

Data engineering

PySpark

Databricks

Python

Data modeling

ETL pipelines

Cloud platforms

SQL & NoSQL

Data governance

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks

PySpark

Python

SQL

NoSQL

AWS/Azure/GCP

Job description

Innovya Technologies in Pasadena, CA is seeking a Sr. Data Engineer to design, build, and maintain scalable data pipelines using PySpark and Databricks. You will collaborate with analysts, scientists, and product teams to ensure high-quality data for analytics and reporting.

The role emphasizes performance tuning, data governance, and best-practices documentation while leveraging cloud data platforms and modern tools in a full-time, on-site capacity in Pasadena.