Senior Data Engineer - Cloud Data Platforms & AI

BECU; Washington; Hybrid; USD 142,000 - 173,000; Full time

Benefits offered by this job

401(k) match

Annual 4% 401k contribution

Medical/Dental/Vision

PTO + Exchange Program

Tuition Reimbursement

Volunteer time off + donation match

Job summary

BECU is seeking a Senior Data Engineer to design and implement enterprise-grade data solutions and scalable pipelines in a cloud environment. You will collaborate with architects, analysts, and product owners to deliver secure, data-driven capabilities while advancing governance and quality across data platforms.

You will contribute to architecture, automation, and AI-enabled data initiatives, with emphasis on maintainability, reliability, and performance in a collaborative, inclusive culture.

Qualifications

• Bachelor’s degree in computer science or related discipline, or equivalent work experience.
• Minimum 5 years of functional experience in data engineering.
• 4 years of experience in coding languages like Python, Scala, Java, SQL.
• Experience with cloud technologies (Azure, AWS, GCP).
• Experience with modern data platforms (Fabric, Databricks, BigQuery, Snowflake).
• Experience with ETL/ELT, SQL, and Azure services (AirFlow, Data Factory, SQL, Cosmos DB, Event Hubs, Storage, Functions, Container apps, API Management).
• Experience with SQL, data modeling, data warehousing, data lake/lakehouse.
• Experience with CI/CD tools such as Azure DevOps and GitHub.
• Git experience with code reviews and branching (Git Flow/Trunk).
• Leadership in design discussions to enable long-term solutions.

Responsibilities

• Design Enterprise Data Solutions: multi-tier cloud-native data solutions.
• Build Secure, scalable data pipelines for batch, near real-time, and API integrations.
• Drive technical innovation balancing engineering and business needs.
• Champion data governance, metadata management, data quality, and lineage.
• Enable data curation across platforms based on requirements.
• Mentor data engineering teams through reviews and testing.
• Collaborate on roadmaps, cloud modernization, and platform strategy.
• Elevate engineering standards: CI/CD, automated testing, code quality.
• Improve observability and reliability of pipelines.

Skills

5 years data engineering

Python/Scala/Java/SQL

Cloud platforms

SQL

Data modeling

Data warehousing

Data lake/lakehouse

Git

CI/CD (Azure DevOps, GitHub)

Design leadership

Education

Bachelor’s degree in computer science or related

Tools

Azure Databricks

BigQuery

Snowflake

Microsoft Fabric

AirFlow

Azure Data Factory

Azure SQL

Cosmos DB

Event Hubs

Azure Functions

Container Apps

API Management

GitHub

Job description

BECU is seeking a Senior Data Engineer to design and implement enterprise-grade data solutions and scalable pipelines in a cloud environment. You will collaborate with architects, analysts, and product owners to deliver secure, data-driven capabilities while advancing governance and quality across data platforms.

You will contribute to architecture, automation, and AI-enabled data initiatives, with emphasis on maintainability, reliability, and performance in a collaborative, inclusive culture.