Data Engineer

🕒 October 15

🇺🇸 United States – Remote

💵 $73.5k - $117.9k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

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D.A. Davidson Companies

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1935

💸 Finance

Finance • Investment Banking • Wealth Management

D. A. Davidson Companies is a comprehensive financial services company that offers a wide array of services to individual investors, corporations, and institutions. With a history of 88 years, they provide wealth management, equity capital markets, investment banking, and trust services. D. A. Davidson is committed to guiding clients through life's key financial moments with services like retirement planning, estate planning, education planning, and more. Additionally, they are involved in public finance, offering expertise in municipal advisory services, tribal financing, and fixed income capital markets. Renowned for their professional money management and advisory solutions, D. A. Davidson emphasizes personalized client service and strategic investment advice. Their investment advisors use a research-based approach to ensure client portfolios align with their financial goals. The firm's dedicated team is also involved in community empowerment initiatives nationwide, leveraging their extensive knowledge in various sectors to benefit the communities they serve.

📋 Description

• Expand and optimize data and data pipeline architecture • Monitor, troubleshoot, and performance-tune data flows used for data collection, integration, and provisioning • Design, implement, and maintain robust, efficient, and compliant data pipeline architecture • Identify and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability • Build and maintain service-based architecture for publishing consumable data and information objects • Work with data architects and data analysts to enhance and evolve the data environment • Support Business and IT stakeholders with data-related technical issues and information requirements • Define frameworks, guidelines, best practices, and examples for accurate, compliant, and secure data structures and integration processes • Facilitate development and implementation of enterprise data quality and data protection standards • Define performance indicators and quality metrics and ensure compliance with data-related policies and standards • Participate in an on-call rotation to monitor, troubleshoot, and resolve data integration alerts and failures • Collaborate with software development teams, database architects, data analysts, and end users on complex data initiatives

🎯 Requirements

• 5 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 with relational databases, query authoring, stored procedure development, and end-to-end data pipeline development • Experience performing operational analysis on internal and external data and processes • Strong analytic skills related to complex, multi-layered data pipelines and dependent datasets • Experience facilitating calls to capture end-user requirements with technical and non-technical users • Awareness of data preparation, metadata, dependencies, lineages, compliance, and workload management • Understanding of conceptual, logical, relational, dimensional, and multi-dimensional data modeling • Understanding of meta-model and metadata management requirements • Extensive experience with SQL syntax • Experience designing and implementing data structures and interfaces for applications and business processes • Experience with Microsoft Fabric, including pipelines, notebooks, Lakehouse/Warehouse concepts, and Medallion architecture • Experience with relational database platforms, preferably MS SQL Server • Experience with SSIS and Azure Integration Services • Experience with orchestration tools such as ActiveBatch • Experience with web services and API integrations • Experience with Python and PowerShell • Experience with Agile, DevOps, and DataOps methods and technologies • Commitment to client confidentiality and data security • Clear, service-oriented communication using appropriate professional language and grammar • Ability to work proactively with external and internal clients • Ability to maintain regular, predictable attendance

🏖️ 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

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