Senior Data Engineer

Innovya Technologies is hiring a Senior Data Engineer to help build and run scalable data infrastructure for analytics and reporting. In this hybrid role based in Pasadena, CA, you will design and maintain production-grade data pipelines, strengthen data modeling and warehousing, and support governance practices that keep data trustworthy and accessible.

This position centers on end-to-end ETL workflows and distributed processing using PySpark and Databricks, alongside related cloud data platforms. You will also collaborate with analysts, data scientists, and product teams to translate business data requirements into efficient, reliable data architecture.

What you’ll do

• Design, build, and maintain scalable data pipelines using PySpark, Databricks, and related cloud data platforms.
• Implement robust ETL workflows for integrating and transforming data.
• Develop and optimize data models to support analytics needs.
• Support data warehousing solutions that deliver reliable, high-quality data for reporting and analytics.
• Work closely with data analysts, data scientists, and product teams to improve data accessibility and overall architecture.
• Perform performance tuning, monitoring, and ongoing improvements; ensure data security and governance; contribute to best practices and documentation.

Key requirements

• Strong data engineering experience building and maintaining scalable data pipelines.
• Proficiency in data modeling and data warehousing for efficient, reliable data structures.
• Hands-on experience with ETL processes and frameworks for integrating data from multiple sources.
• Applied data analytics skills to support reporting, dashboards, and data-driven decision-making.
• Advanced experience with PySpark, Databricks, and Python for data processing and automation.
• Experience with cloud data platforms such as AWS, Azure, or GCP, plus distributed processing frameworks.
• Knowledge of SQL and NoSQL databases, including performance tuning and data optimization.
• Understanding of data governance, data quality, and security best practices.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (equivalent experience considered).
• Ability to collaborate with cross-functional teams and communicate complex data concepts clearly.

Technologies you’ll work with

• PySpark, Databricks, Python
• ETL, SQL, NoSQL
• AWS, Azure, GCP

Compensation and location

• Location: Hybrid remote in Pasadena, CA 91185
• Salary: USD 124,000 to 150,000 per year