Data Engineer Senior

Senior Data Engineer

This position is available to be filled at any Huntington Corporate office location including Birmingham, AL, Tupelo, MS, Atlanta, GA, Houston, TX, and Dallas, TX.

Our Enterprise Data Engineering department is growing, and we're looking for an outstanding Senior Data Engineer to join our team. The Senior Data Engineer will play a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools. Our goal is to be the Best performing Regional Bank in America, and we need data and analytics to meet that goal.

The Data Engineer Senior plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools. Data Engineers will also test for data quality to ensure Huntington's data conforms to business rules and is accurate, complete, consistent, and uniform. This role's primarily focuses on building, managing and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists or any persona that needs curated data for data and analytics use cases across the enterprise.

Duties and Responsibilities:

• Architecting, creating and maintaining data pipelines.
• Assist with renovating the data management infrastructure to drive automation in data integration and management.
• Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
• Train counterparts across the organization in data pipelining and preparation techniques, which make it easier for them to integrate and consume the data they need for their own use cases.
• Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
• Demonstrated ability to communicate complex results to technical and non-technical audiences.
• Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
• Strategic, intellectually curious thinker with focus on outcomes.
• Professional image with the ability to form relationships across functions.
• Performs other duties as assigned.

Basic Qualifications:

• Bachelor's Degree in computer science, statistics or related field, or equivalent related work experience.
• 4+ years of related experience in data management disciplines including data integration, data modeling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
• 4+ years of experience working in cross-functional teams and collaborating with business stakeholders in support of a departmental and/or multi-departmental data management and analytics initiative, experience with data preparation tools and database programming languages.

Preferred Qualifications:

• Experience building modular, reusable ETL frameworks, focusing on scalability and maintenance.
• Strong experience with data engineering tooling (e.g., Glue, Lambda, Athena, AWS)
• Strong knowledge of BI software tools (e.g., QuickSight, Tableau, etc)
• Experience with workflow orchestration tools - like Apache Airflow - to schedule, monitor and manage data pipelines.
• Strong experience with advanced analytics tools
• Hands on data testing experience
• Hands on experience or exposure to Oracle Database.
• Strong experience with open-source and commercial data science platforms
• Familiarity with Agile methodology practices.
• Strong experience with various Data Management architectures and processes.
• Strong ability to design, build and manage data pipelines for data
• Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets
• Demonstrated success in working with large, heterogeneous datasets to extract business value
• Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities
• Demonstrated ability to communicate complex results to technical and non-technical audiences
• Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Strategic, intellectually curious thinker with focus on outcomes
• Professional image with the ability to form relationships across functions
• Willingness and ability to learn new technologies on the job
• Financial Services background is preferred, or interest in learning.

Exempt Status: Yes

Workplace Type: Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Huntington is an Equal Opportunity Employer.