Hybrid Senior Data Engineer: Build Scalable Pipelines

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 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.