Senior Data Engineer — Remote Cloud & AI Data Solutions

BECU; Virginia (MN); Hybrid; USD 110,000 - 205,000; Full time

Benefits offered by this job

401(k) Company Match (up to 3%)

4% annual 401(k) contribution

Medical, Dental, Vision coverage

PTO Program + Exchange Program

Tuition Reimbursement

Volunteer time off + donation match

Job summary

BECU is seeking a Senior Data Engineer to write data workflows and develop complex, scalable data solutions in a cloud environment. You will design features, tests, and data models, contributing to architecture and governance while collaborating with data engineers, analysts, and leadership.

You will help build enterprise-grade pipelines, enable AI-ready data products, and participate in cloud modernization initiatives.

Qualifications

• 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, SQL.
• Demonstrated experience using cloud technologies (Azure, AWS, GCP).
• Demonstrated experience using Modern data platforms (Microsoft Fabric, Azure Databricks, BigQuery, Snowflake).
• Demonstrated experience using ETL/ELT, SQL, and Azure Services (Air Flow, Azure Data Factory, Azure SQL, Cosmos DB, Event Hubs, Azure Storage, Azure Functions, Container Apps, API Management).
• Demonstrated experience using SQL, data modeling, data warehousing, data analysis including designing, building and supporting enterprise-scale data stores.

Responsibilities

• Design Enterprise Data Solutions: design and develop complex, multi-tier systems for cloud-native data solutions.
• Build Secure, Cost Effective, Scalable Data Pipelines: develop data workflows including batch and API-based integrations.
• Drive Technical Innovation: design and support prototypes and scalable data solutions balancing tech and business needs.
• Champion Data Governance: implement metadata management, data quality, lineage, and governance practices.
• Enable Data Curation: guide data curation policies across data platforms and workflows.
• Support and Mentor Data Engineering Teams: coordinate code reviews, testing, and development activities.
• Collaborate on Technology Strategy: document roadmaps and future-state data platform strategies.
• Elevate Engineering Excellence: contribute to CI/CD practices, code quality, and engineering standards.
• Enhance Reliability and Observability: improve pipeline monitoring and reliability.
• Leverage Modern Engineering Tools: use AI-assisted development tools to improve productivity.
• Partner Across Functions: work with architecture, governance, security, and platform teams to deliver data products.
• Communicate Technical Expertise: present topics to engineering audiences and mentor engineers.
• Ensure Compliance and Security: follow compliance and information protection requirements.

Skills

Python

Scala

Java

SQL

Education

Bachelor's degree in computer science or related field

Tools

Azure DevOps

GitHub

Air Flow

Azure Data Factory

Cosmos DB

Event Hubs

Container Apps

API Management

Job description

BECU is seeking a Senior Data Engineer to write data workflows and develop complex, scalable data solutions in a cloud environment. You will design features, tests, and data models, contributing to architecture and governance while collaborating with data engineers, analysts, and leadership.

You will help build enterprise-grade pipelines, enable AI-ready data products, and participate in cloud modernization initiatives.