Salary Range:
$89,100.00 - $148,700.00

This pay range represents the minimum and maximum compensation that the position offers, and final compensation can vary within the range depending on work location, job experience, skills, and relevant educational attainment and/or training.

Data Engineer

Location: San Leandro, California
Work Arrangement: Hybrid (2-3 days per week in office)
Employment Type: Full-Time
Position Summary

We are seeking a skilled and motivated Data Engineer to join our Enterprise Data team. In this role, you will design, build, and optimize scalable data solutions that support business intelligence, analytics, and reporting initiatives across the organization. The ideal candidate will have experience developing modern data pipelines, data integration solutions, and data warehousing capabilities, with a strong focus on Microsoft Azure and Azure Synapse Analytics.

This position partners closely with data analysts, business stakeholders, and technology teams to ensure data is reliable, accessible, and optimized for both operational and strategic decision-making.
Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services.
• Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data from multiple internal and external sources.
• Develop and maintain data models and data warehousing solutions that support enterprise reporting and analytics needs.
• Implement data cleansing, transformation, validation, and enrichment processes to ensure high-quality data.
• Design and support solutions for both batch and real-time data processing requirements.
• Monitor, troubleshoot, and optimize data pipeline performance, ensuring efficient processing and scalability.
• Identify and resolve data quality, performance, and system reliability issues.
• Collaborate with business partners, analysts, and technology teams to understand data requirements and deliver effective data solutions.
• Ensure compliance with data governance, security, privacy, and regulatory requirements.
• Create and maintain technical documentation, including data flows, ETL processes, data models, and operational procedures.
• Support continuous improvement initiatives by identifying opportunities to automate and enhance data engineering processes.

Basic Qualifications

• Bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field.
• Minimum 3 years of professional experience in Data Engineering, Data Warehousing, or a related field.
• Experience designing and developing data pipelines and ETL/ELT processes.
• Experience working with SQL and relational database technologies.
• Experience supporting data integration, transformation, and data quality initiatives.
• Knowledge of cloud-based data platforms and modern data architecture principles.

Preferred Qualifications

• Experience with Microsoft Azure, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and related services.
• Experience building enterprise-scale data warehouse and analytics solutions.
• Proficiency in Python, Spark, or other data processing technologies.
• Experience working with structured, semi-structured, and unstructured data sources.
• Familiarity with data governance, security, and privacy best practices.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent communication skills with the ability to work effectively across technical and business teams.

USA Benefits include:

Flex work hours, 20 days PTO rising to 25 with service, three paid volunteering days, primary and secondary parental leave, well-being support, medical, dental, vision, and 401K.

It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.

Hybrid working

We work in a hybrid way at AVEVA. Most roles are based at a local AVEVA office, with an expectation of being on-site 50% of your working hours to support collaboration and connection. Some positions are fully office-based depending on the nature of the work, and certain roles that support specific customers or markets may be remote. The working arrangement for this position will be confirmed during the hiring process.

Hiring process

Interested? Great! Get started by submitting your cover letter and CV through our application portal.