Senior Data Engineer

Innovya Technologies; Pasadena (CA); Hybrid; USD 124,000 - 150,000; Full time

Job summary

Innovya Technologies in Pasadena, CA is seeking a Senior Data Engineer to design and deliver scalable data infrastructure for analytics and reporting. This hybrid role focuses on building reliable ETL pipelines, data modeling, warehousing, and ensuring security, governance, and monitoring.

You will collaborate with data analysts, data scientists, and product teams to shape data architecture around real business needs, while optimizing performance and documentation across the data lifecycle.

Qualifications

• Proven experience building scalable data pipelines and data infrastructure.
• Strong modeling and warehousing skills for reliable data structures.
• Hands-on ETL processes and multi-source data integration.
• Data analytics experience to support reporting and dashboards.
• Proficiency with PySpark, Databricks, and Python for data processing.
• Experience with AWS/Azure/GCP and distributed processing platforms.
• Knowledge of SQL/NoSQL and performance optimization techniques.
• Understanding of data governance, quality, and security best practices.
• Bachelor’s degree or equivalent experience in CS/IS/Engineering or related field.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL workflows.
• Develop and optimize data models to support analytics and reporting.
• Support data warehousing solutions for high-quality data.
• Collaborate with analysts, scientists, and product teams to shape data architecture.
• Perform performance tuning and monitoring with focus on data security and governance.

Skills

data engineering

data modeling

data warehousing

ETL

data analytics

PySpark

Databricks

Python

AWS

Azure

GCP

SQL

NoSQL

data governance

data quality

data security

Education

Bachelor's degree or equivalent experience

Tools

PySpark

Databricks

Python

AWS

Azure

GCP

SQL

NoSQL

Job description

Innovya Technologies is hiring a Senior Data Engineer to help design and deliver scalable data infrastructure for analytics and reporting. This hybrid role in Pasadena, CA focuses on building reliable ETL pipelines, strengthening data modeling and warehousing, and ensuring systems are secure, governed, and well monitored.

You will work across the data lifecycle, from pipeline development to performance tuning and documentation, partnering with data analysts, data scientists, and product teams to shape data architecture around real business needs.

What you’ll do

• Design, build, and maintain scalable data pipelines using PySpark, Databricks, and related cloud data platforms.
• Implement robust ETL workflows.
• Develop and optimize data models to support analytics and reporting.
• Support data warehousing solutions to ensure high-quality, reliable data.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements and improve data accessibility and architecture.
• Perform performance tuning and monitoring, ensuring data security and governance, and contribute to best practices and documentation.

Required qualifications

• Strong data engineering skills, including experience building and maintaining scalable data pipelines.
• Proficiency in data modeling and data warehousing to create efficient, dependable data structures and storage solutions.
• Hands-on experience with Extract Transform Load (ETL) processes and frameworks to integrate data from multiple sources.
• Applied data analytics skills to support reporting, dashboards, and data-driven decision-making.
• Advanced hands-on 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 techniques.
• Understanding of data governance, data quality, and security best practices.
• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, with equivalent experience considered.
• Ability to collaborate cross-functionally and communicate complex data concepts clearly.

Technologies

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

Role details

• Location: Hybrid remote in Pasadena, CA 91185
• Compensation: $124,000 - $150,000 per year