Senior Data Engineer - Scalable, Reliable Pipelines

D.A. Davidson; Portland (OR); On-site; USD 74,000 - 118,000; Full time

Benefits offered by this job

Medical, Dental and Vision

Company 401(k) and ESOP contribution

Generous sick, vacation, and maternity

Paid holidays

Professional Development Opportunities

Tuition Reimbursement (lifetime cap of

Discounted personal insurance

Charitable gift-matching program

Davidson Day of Giving

Job summary

D.A. Davidson is seeking a Data Engineer in Oregon to expand and improve data pipeline architecture with focus on reliability, performance tuning, and operational monitoring of data flows that collect, integrate, and provision data.

The role emphasizes collaboration with data architects and analysts, developing scalable, compliant data environments, and implementing standards for data quality and protection. On-call rotation is required.

Qualifications

• 5+ years of Data Engineering experience in an oversight capacity.
• Extensive domain-specific experience in the Financial Services industry.
• Experience with Microsoft cloud-based technologies in a hybrid architecture.
• Advanced working T-SQL knowledge, including relational databases, query writing, stored procedures, and end-to-end data pipeline development.
• Experience performing operational analysis on internal and external data to identify failure points and improvement opportunities.

Responsibilities

• Design, implement, and maintain a robust, efficient, and compliant data pipeline architecture.
• Identify, design, and implement internal process improvements, including automation of manual processes and data delivery optimization.
• Build and maintain a service-based architecture for publishing consumable data and information objects.
• Partner with data architects and data analysts to enhance and evolve the data environment.
• Collaborate with Business and IT stakeholders to address data-related technical issues and support data requirements.
• Define frameworks, guidelines, best practices, and examples for secure data structures and integration processes.
• Facilitate data quality, data protection standards, and enterprise adoption requirements.
• Define performance indicators and quality metrics, ensuring compliance with policies and adoption requirements.
• Participate in an on-call rotation to monitor, troubleshoot, and resolve data integration alerts and failures.

Skills

Data pipelines

SQL

T-SQL

Azure

Microsoft Fabric

Monitoring & On-call

DevOps

Data modeling

Tools

MS SQL Server

SSIS

Azure Integration Services

ActiveBatch

Web services & APIs

Python

PowerShell

Job description

D.A. Davidson is seeking a Data Engineer in Oregon to expand and improve data pipeline architecture with focus on reliability, performance tuning, and operational monitoring of data flows that collect, integrate, and provision data.

The role emphasizes collaboration with data architects and analysts, developing scalable, compliant data environments, and implementing standards for data quality and protection. On-call rotation is required.