D.A. Davidson Companies ยท 9 hours ago
Senior Data Engineer
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BankingFinance
H1B Sponsor Likely
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Responsibilities
Design, implement and maintain a robust, efficient and compliant data pipeline architecture
Oversee and review the work of other engineers through peer reviews, code reviews and process reviews
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Research and analyze new technologies, methodologies and architectures for viability
Build and maintain a service-based architecture for the publication of consumable data and information objects
Work with data architects and data analysts to enhance and evolve the data environment
Work with Business and IT stakeholders to assist with data-related technical issues and support their data and information requirements
Define and develop frameworks, guidelines, best practices and examples to ensure data structures and integration processes are accurate, compliant and secure
Facilitate the development and implementation of data quality standards, data protection standards and adoption requirements across the enterprise
Define indicators of performance and quality metrics and ensure compliance with data related policies, standards, roles and responsibilities, and adoption requirements
Qualification
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Required
7 or more 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 TSQL knowledge and experience working with relational databases, query authoring, stored procedure development, end-to-end data pipeline development
Experience performing operational analysis on internal and external data and processes to uncover failure points and identify opportunities for improvement
Strong analytic skills related to working with complex, multi-layered data pipelines and dependent datasets
Holistic awareness of processes supporting data preparation, metadata, dependencies, lineages, compliance and workload management
Understanding of data modeling concepts like: Conceptual data modeling, Logical data modeling, Relational data modeling, Dimensional and multi-dimensional data modeling
Understanding of meta-model and metadata management requirements
Specific skills include: Extensive experience with SQL-based syntax
Extensive experience designing and implementing data structures and interfaces for applications and business processes
Experience with scripting languages such as: Python and Powershell
Experience with Agile, DevOps and DataOps methods and technologies: Source Code Control, Versioning, Test Automation, Continuous Integration, Automated Deployment, Recoverability, Telemetry, etc.
Preferred
Preferred location Western states, Midwest, or remote
Experience with relational database platforms: preferably MS SQLServer
Experience with data pipeline tools such as: SSIS
Experience using orchestration tools such as: ActiveBatch
Familiarity with data visualization technologies such as: Tableau, PowerBI
Benefits
Medical, Dental and Vision
Company 401(k)and ESOP contribution
Generous sick, vacation, and maternity/parental leave
Paid holidays
Professional Development Opportunities
Tuition Reimbursement ($15,000 lifetime cap)
Discounted personal insurance including home, auto and recreational vehicles
Charitable gift-matching program
Davidson Day of Giving - Our tradition of positively impacting communities in which we live and work.
Company
D.A. Davidson Companies
At D.A.
H1B Sponsorship
D.A. Davidson Companies has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (4)
2022 (1)
2021 (2)
2020 (4)
Funding
Current Stage
Late StageLeadership Team
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