Hiring: Senior Data Engineer Company: D.A. Davidson Companies Location: Tualatin, OR Job Posted Time: 2026-09-16 15:17:28 Employment Type: Hybrid Target Skills & Keywords : API Design, Agile, Airflow, Azure, Azure DevOps, CI/CD, ELT, ETL, Encryption, Event-Driven, GDPR, HIPAA, JWT, OAuth, Python, RBAC, REST, SQL, SQL Server, Scrum, Snowflake, dbt About the job Required Skills: •Design, implement and maintain a robust, efficient and compliant application data repository and integration architecture •Interface directly with Business and IT stakeholders to assist with data-related technical issues and provide application support •Coordinate, direct and oversee the work of third-party engineers through solution design reviews, code reviews and process reviews •Identify, design, and implement internal process improvements like, automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability •Research and analyze new technologies, methodologies and architectures for viability •Build and maintain a service-based architecture for web and mobile applications •Work independently within a scrum delivery team, with oversight from domain and enterprise architects, in support of business-critical applications •Contribute to the development of frameworks, guidelines, best practices and examples to ensure data structures and integration processes are accurate, compliant and secure Qualifications: •Commitment to maintain client confidentiality and data security •Communicate in a clear and service-oriented manner; use appropriate, professional language and grammar to effectively exchange ideas and information •Demonstrated capacity to proactively work with both external and internal clients; relate with others in a professional manner to accomplish work responsibilities and objectives •Demonstrated capacity to maintain regular, predictable attendance •7 or more years of Data Engineering experience in an oversight capacity •Extensive domain-specific experience in the Financial Services industry •RDBMS expertise with Microsoft SQL Server (on prem and Azure SQL): advanced T SQL, query design, execution plans, index strategies (clustered/non clustered, filtered, included columns), partitioning, statistics, and concurrency/isolation level •Data modeling mastery: 3NF normalization, strategic denormalization for read models, star/snowflake schemas, surrogate vs. natural keys, referential integrity, and temporal tables for auditing/history •Holistic awareness of processes supporting data preparation, metadata, dependencies, lineages, compliance and workload management •Understanding of meta-model and metadata management requirements Compensation: •$120,000 - $126,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!