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Data Engineer

Heritage Bank NA • Full-time • Sioux Falls, South Dakota, United States • $65.65k - $99.13k / year • 1m ago

Description:

We’re looking for a highly motivated problem-solver with strong communication and leadership skills, able to manage shifting priorities in a fast-changing environment, and drive results with a passion for making things happen.

Position Summary:

The Data Engineer will design and optimize data pipelines and architecture to support Heritage Bank’s data and automation initiatives. Collaborates across teams to ensure efficient data flow, build systems for new products, and ensure data assets are well-documented and fully utilized.

Primary Duties & Responsibilities:

Serve as the primary point of contact for data integration issues, needs, opportunities, and questions.
Develop and maintain optimal data pipeline architecture and ETL processes.
Gather and organize data sets to meet business requirements.
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Build the infrastructure needed for efficient extraction, transformation, and loading of data from various sources.
Develop analytics tools that use the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics.
Develop, maintain, and optimize technology to enable cross-platform automation and integration.
Collaborate with data analysts and business stakeholders to understand data requirements and deliver high-quality data solutions
Work with Snowflake or Microsoft Fabric, basic knowledge of SQL is required.
Implement data security and privacy best practices to protect sensitive data.
Stay current with emerging trends in data engineering and big data technologies.

Secondary Duties & Responsibilities:

Responsible for performing professional and accurate service.
Responsible for information security as it applies to this position.
Responsible for compliance with laws and regulations applicable to this position.
Oversee development and maintaining knowledge of compliance and internal control requirements to ensure uniform understanding and compliance with bank policies and procedures.
Participates in all required BSA training and demonstrates knowledge of BSA relative to job responsibilities.
Attends committee and staff meetings as scheduled.
Performs other tasks, as assigned.

Bank Standards:

Mission – Help People Succeed Financially
Ethics – We always do the right thing at work and in our personal lives.
Solution – We bring solutions to challenges and are always looking for ways to be better.
Ownership – We are accountable in our roles and accept responsibility for our mistakes.
Positivity – We bring positive energy and enthusiasm to everything we do.

Disclaimer:

The statements contained in this job description describe the general nature and level of work being performed by the person accepting this role. “Secondary Duties and Responsibilities” are considered incidental or secondary to the overall purpose of the job. This job description does not state or imply the only duties and responsibilities assigned to this job. Employees holding this job will be required to perform any other job-related duties requested by management. All job requirements are subject to possible modification to reasonably accommodate individuals with a disability.

Requirements:

Education:

Degree in Computer Science or IT or Business Analytics or at least 2 years’ experience as a Data Engineer with experience in development and maintenance support

Experience:

Information Technology proficiency including: Data Modeling and Schema Design; ETL/ELT; Experience in using Snowflake, Microsoft Fabric, SQL Server; Data Migration experience in AWS, Azure, GCP environments; Experience in engaging with both technical and non-technical stakeholder; Data Warehouse, Dashboards, Scorecards, Reporting, BI, Analytics; Application Integration via API, Data Exchange, and Webhooks; No Code/Low Code Solutions; Master Data Management (MDM); AI/ML
Data Engineering in a banking environment