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Innovya Technologies

Senior Data Engineer

Innovya Technologies
Pasadena, CA $124k - $150k/yr Full time Posted 10d ago
Senior Azure Cloud Data Platform Cloud Platform Data Analytics Data Architecture Data Engineer Data Engineering Data Pipeline Data Platform Data Warehouse Databricks ETL Google Cloud Pyspark Reporting and Analytics Spark SQL
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Job Description

The Senior Data Engineer role at Innovya Technologies focuses on the design, construction, and ongoing reliability of scalable data pipelines and cloud-based data platforms. The position supports ETL workflows, data modeling, warehousing, performance tuning, monitoring, and data security and governance for analytics and reporting.

Responsibilities

  • 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 reliable downstream analytics.
  • Support data warehousing initiatives to ensure analytics and reporting are powered by dependable, high-quality data.
  • Work closely with data analysts, data scientists, and product teams to capture data requirements, improve data accessibility, and strengthen the overall data architecture.
  • Perform performance tuning and monitoring of data systems; ensure data security and governance; contribute to best practices and documentation.

Requirements

  • Strong data engineering background, including experience building and maintaining scalable data pipelines.
  • Proficiency in data modeling and data warehousing to design efficient, dependable data structures and storage solutions.
  • Hands-on experience with Extract Transform Load (ETL) processes and frameworks for integrating data from multiple sources.
  • Applied data analytics experience 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, as well as 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; equivalent experience may be considered.
  • Ability to collaborate with cross-functional teams and clearly communicate complex data concepts.

Key Technologies

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

Compensation

USD 124,000 - 150,000 per year.

Work Location

Hybrid remote in Pasadena, CA 91185.

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