This role pays less than
58%
of similar roles. Most pay
$134,599–$211,200
— the shaded band above.
At the midpoint, this role pays about
$158k
versus about
$173k
for comparable roles.
Based on 240 similar postings.
Employer
About BECU
BECU (Boeing Employees'' Credit Union) is one of the largest credit unions in the United States, offering a full range of financial products and services including savings, loans, and investment options to its members. Industry: Financial Services & Credit Union
BECU currently has
8 open roles
on FindRole.
Listed pay typically runs
$156,750–$191,550
across 8 roles with salary data.
Sr Data Engineer
The Sr Data Engineer joins a dynamic team to design, develop, and maintain enterprise-class data pipelines and scalable cloud-based solutions. This role involves building multi-tier systems for operational reporting, analytics, and AI-driven capabilities while ensuring robust data governance through metadata management and quality standards. The engineer will write complex workflows, create automated tests, and manage data models to solve business needs within a financial services context. Key technical requirements include proficiency in Python, Scala, Java, and SQL, alongside experience with cloud platforms like Azure, AWS, or GCP. Specific tools include Azure Databricks, Synapse, Snowflake, and BigQuery, along with integration services like Azure Data Factory and Cosmos DB. The role also requires expertise in CI/CD practices using GitHub and Azure DevOps to deliver secure, high-quality data products across the entire lifecycle.
What does a Data Engineer earn in California?
Median $199800 from 35 postings across 19 companies.
Design and develop complex, multi-tier cloud-native data solutions and integration services.
Build and maintain scalable batch, near real-time, and API-based data pipelines.
Implement data governance practices including metadata management, master data policies, and quality standards.
Mentor and coordinate engineering teams through design reviews, code reviews, and development activities.
Partner with leadership to document technology roadmaps and cloud modernization initiatives.
Enhance engineering excellence by establishing CI/CD practices, automated testing, and coding standards.
Improve system reliability by implementing monitoring and observability capabilities for data pipelines.
Utilize AI-assisted tools like GitHub Copilot to improve development productivity and code quality.
What we're looking for
Bachelor’s degree in computer science or related discipline, or equivalent work experience.
Minimum 5 years of functional experience in data engineering.
Minimum 4 years of experience in coding languages like Python, Scala, Java, and SQL.
Demonstrated experience using cloud technologies (Azure, AWS, or GCP) and modern data platforms (Azure Synapse, Databricks, Redshift, BigQuery, or Snowflake).
Demonstrated experience with ETL/ELT tools, SQL, and Azure services such as Data Factory, SQL, Cosmos DB, Event Hubs, Storage, Functions, Container apps, and API Management.
Experience in data modeling, warehousing, and designing enterprise-scale ODS, data warehouses, and lakehouse solutions.
Experience with CI/CD systems (Azure DevOps, GitHub), Git version control, and standard branching workflows.
Knowledge of financial services, AI-ready data products, data governance tools, and Test Driven Development (preferred).
Python
SQL
Scala
Java
Azure
AWS
GCP
Microsoft Fabric
Azure Databricks
Snowflake
Big Query
Azure Data Factory
Air Flow
Cosmos DB
Azure Functions
GitHub
Git
CI/CD
Azure DevOps
Data Modeling