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Senior Data Engineer

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning more than 80 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, and delivering outstanding service to our clients and each other. We support a friendly, open and supportive culture, and encourage candid communication and productive engagement that make our companies and each of us better. Just as we work to improve our clients’ financial well-being, we also work to strengthen local communities—and giving back is one of our core values. You can learn more about our company culture and impact in our latest annual report.


Summary:

Senior Data Engineer is responsible for expanding and optimizing our data and data pipeline architecture, as well as monitoring, troubleshooting and performance tuning data flows used in the collection, integration, and provisioning of data. This role requires experience building data pipelines and optimizing entire data systems as well as greenfield opportunities. This role works alongside other software development teams, database architects, data analysts and end users on complex data initiatives, and ensures our data delivery architecture is consistent with best practices. A Senior Data Engineer oversees the development of junior team members through mentorship, training, guidance, and direct management. A Senior Data Engineer contributes to data architecture and technology roadmaps to support strategic growth and team development. Preferred location Western states, Midwest, or remote.

 

Company Overview:

D.A. Davidson Companies is an independent, employee-owned company with a rich history spanning more than 80 years. We are dedicated to conducting our business in accordance with the highest standards of integrity and ethics, while delivering outstanding service to our clients and coworkers. We support a friendly, open and adaptive culture, and encourage candid communication and productive collaboration across throughout the firm. Just as we work to improve our clients and employees’ well-being, we also work to strengthen local communities—and giving back is one of our core values.


Qualifications:

•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:

o Conceptual data modeling

o Logical data modeling

o Relational data modeling

o Dimensional and multi-dimensional data modeling

•Understanding of meta-model and metadata management requirements

•Specific skills include:

o Extensive experience with SQL-based syntax

o Extensive experience designing and implementing data structures and interfaces for applications and business processes

o Experience with relational database platforms: preferably MS SQLServer

o Experience with data pipeline tools such as: SSIS

o Experience using orchestration tools such as: ActiveBatch

o Experience with web services and API integrations

o Experience with scripting languages such as: Python and Powershell

o Experience with Agile, DevOps and DataOps methods and technologies: Source Code Control, Versioning, Test Automation, Continuous Integration, Automated Deployment, Recoverability, Telemetry, etc.

o Familiarity with data visualization technologies such as: Tableau, PowerBI


Job 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


What we offer:

Competitive salary plus excellent benefits and perks including, but not limited to:

•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.


The potential pay range for this role is $110,000 – 150,000. The compensation offered will be determined on a case-by-case basis considering a variety of factors including, but not limited to, the skills, relevant work experience, and geographic location of each specific candidate.  Additional incentive compensation may be earned based on performance.


$110,000 - $150,000 a year

At D.A. Davidson, we are committed to fostering a diverse environment that supports the development and inclusivity of all employees.


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.


Please answer all questions carefully: incomplete or inaccurate answers may impact your potential employment. By clicking Submit Application, you declare that all statements in this application are truthful to the best of your knowledge. California applicants please see D.A. Davidson's California Resident Privacy Policy.

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What You Should Know About Senior Data Engineer, D.A. Davidson

D.A. Davidson Companies is on the lookout for a Senior Data Engineer to join our team in beautiful Great Falls, MT. This role is crucial for expanding and optimizing our data architecture while making sure our data flows are running smoothly. As a Senior Data Engineer, you’ll delve into building robust data pipelines and tackling exciting greenfield opportunities that promise to challenge your skills. You'll collaborate closely with our software development teams, database architects, and data analysts to implement complex data initiatives. Your mentorship will be essential for nurturing our junior team members, guiding their professional growth and development. Your responsibilities will include designing and maintaining efficient data pipeline architectures, conducting operational analysis, and implementing key improvements to our data processes. If you have a penchant for collaboration, a strong analytics background in Financial Services, and proficiency with cloud technologies, we want to hear from you! Embrace a culture where ethical values thrive, and every contribution is valued here at D.A. Davidson. Not only will you advance your technical skills, but you’ll also find a workplace that encourages community engagement and gives back. We offer competitive compensation ranging from $110,000 to $150,000, along with generous benefits like medical coverage, a 401(k), tuition reimbursement, and more! Ready to take your career to the next level? Join us and make an impact today!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at D.A. Davidson
What are the main responsibilities of a Senior Data Engineer at D.A. Davidson Companies?

As a Senior Data Engineer at D.A. Davidson Companies, your main responsibilities will include designing, implementing, and maintaining robust data pipeline architectures. You'll optimize data flows, conduct operational analyses to identify improvement opportunities, and collaborate closely with various teams on complex data projects. Additionally, you'll oversee the development of junior engineers, ensuring high-quality outputs through mentoring and guidance.

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What qualifications do I need to apply for the Senior Data Engineer position at D.A. Davidson Companies?

To be considered for the Senior Data Engineer role at D.A. Davidson Companies, you should have at least 7 years of relevant experience. Extensive domain-specific expertise in the Financial Services sector is essential, along with advanced knowledge of TSQL and experience with relational databases. Familiarity with cloud technologies, data modeling concepts, and various data pipeline tools is also pivotal for success in this role.

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How does D.A. Davidson Companies support the professional growth of its Senior Data Engineers?

D.A. Davidson Companies values professional growth and provides strong support through mentoring programs, training opportunities, and access to the latest technologies. As a Senior Data Engineer, you will not only contribute to the team's success but also enhance your own capabilities by facilitating development programs for junior engineers and engaging in continuous learning initiatives.

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What tools and technologies are used by Senior Data Engineers at D.A. Davidson Companies?

Senior Data Engineers at D.A. Davidson Companies use a variety of tools and technologies. Key skills include proficiency in SQL-based syntax, experience with relational database platforms like MS SQLServer, and familiarity with data pipeline tools like SSIS. You'll also work with scripting languages such as Python and PowerShell, along with data visualization technologies like Tableau and PowerBI, and cloud-based solutions.

Join Rise to see the full answer
What benefits can I expect as a Senior Data Engineer at D.A. Davidson Companies?

As a Senior Data Engineer at D.A. Davidson Companies, you'll enjoy a competitive salary ranging from $110,000 to $150,000, in addition to comprehensive benefits such as medical, dental, vision coverage, and a generous 401(k) plan. Other perks include professional development opportunities, tuition reimbursement, and engagement in community-focused initiatives.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with building data pipelines?

When addressing your experience with building data pipelines, focus on specific projects where you designed and implemented pipelines. Detail the technologies used, your approach to optimizing performance, and how you resolved any challenges faced during the process.

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How do you ensure the quality of data within your pipelines?

To ensure data quality, describe methodologies you use, such as implementing data validation tests and monitoring critical data quality metrics. Discuss your approach to addressing data inconsistencies and how you collaborate with data analysts to maintain high standards.

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What techniques do you use for performance tuning data flows?

In your response, talk about specific techniques such as indexing, query optimization, and data partitioning. You can also mention the importance of reviewing logs and analyzing execution plans to identify bottlenecks in the data flow.

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Can you explain your experience with cloud technologies in data engineering?

Share concrete examples of projects where you utilized cloud technologies, mentioning specific platforms (like Azure or AWS) and your role in leveraging these technologies for scalable data solutions. Highlight any services or tools you've used for data storage, processing, or analytics.

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How do you approach collaborating with cross-functional teams?

Emphasize your ability to communicate effectively with various stakeholders. Provide examples of how you've worked with software developers, data analysts, and business users to ensure alignment and successful project outcomes.

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What experience do you have with metadata management?

Discuss your understanding of metadata management processes and tools. Share instances where you've worked on defining metadata standards and how it played a role in improving data governance within your previous roles.

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Can you describe a challenging data-related problem you faced and how you resolved it?

Describe the context of the challenge, your analytical approach in identifying the root cause, and the steps you took to resolve it. Highlight the results of your actions and any long-term improvements that were made as a result.

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What is your experience with Agile methodologies in data projects?

Provide an overview of how you've applied Agile methodologies in your data engineering projects. Discuss specific practices such as Scrum or Kanban, and how these frameworks have positively impacted project delivery and flexibility.

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How do you stay updated with the latest trends in data engineering?

Mention methods for keeping your knowledge fresh, such as attending industry conferences, online courses, and following key thought leaders in data engineering. Highlight your commitment to continuous improvement and learning.

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What tools do you prefer for orchestrating data pipelines and why?

In your response, discuss your preferred orchestration tools, reasoning for your choices based on past experiences, and how these tools have helped improve your data pipeline efficiency and reliability.

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D.A. Davidson offers various financial services including investment management, equity capital markets, fixed income capital markets, and municipal investment management. D.A Davidson is headquartered in Great Falls, Montana.

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Full-time, remote
DATE POSTED
December 4, 2024

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