Associated Bank
Overview
Join to apply for the
Data Engineer Senior
role at
Associated Bank .
Base pay range: $93,520.00/yr - $160,320.00/yr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Associated Bank strives to create an inclusive culture where different perspectives are valued and recognized as strengths critical to our success. If you thrive in an environment where your growth and development are encouraged and supported, then Associated Bank may be the right place for you.
The Data Engineer Senior will have a strong background in data engineering, with extensive experience in securely designing, building, and maintaining scalable data pipelines and architectures. As a Data Engineer Senior, you will play a critical role in shaping our data infrastructure, ensuring the availability, reliability, and performance of our data systems. The Data Engineer Senior will be responsible for mentoring and teaching existing colleagues. As such, the ideal candidate must have experience clearly explaining solutions to complex problems and demonstrate the ability to lead and impact knowledge effectively to junior resources.
Responsibilities
Securely design, develop, test, and deploy streaming and batch ingestion methods and pipelines across a variety of data domains leveraging programming languages, application integration software, messaging technologies, REST APIs and ETL/ELT tools.
Ensure that high-throughput, low-latency, and fault-tolerant data pipelines are developed by applying best practices to the data mapping, code development, error handling and automation.
As part of an agile team, design, develop and maintain an optimal data pipeline architecture using both structured data sources and big data for both on-premises and cloud-based environments.
Develop and automate ETL/ELT code using scripting languages and ETL tools to support all reporting and analytical data needs.
Following DataOps best practices, enable orchestration of data, tools, environments, and code.
Design and build dimensional data models to support the data warehouse initiatives.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline performance, re-designing infrastructure for greater scalability and access to information.
Participate in requirements gathering sessions to distill technical requirements from business requests.
Collaborate with business partners to productionize, optimize, and scale enterprise analytics.
Qualifications
Education
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field or equivalent combination of education and experience Required.
Master's Degree preferred in Computer Science, Information Technology, Engineering, or related field.
Experience
5-6 years data engineering focused on using ETL or ELT patterns to build automated data pipelines or related technologies Required.
3-5 years’ experience Cloud platforms (AWS, Azure, GCP, Snowflake) Snowflake preferred and Python programming or advanced SQL coding and performance tuning skills Required.
Thorough understanding of relational, columnar and NoSQL database architectures and industry best practices for development Preferred.
Understanding of dimensional data modeling for designing and building data warehouses Preferred.
Experience with Infrastructure as Code (IAC) tools such as Terraform.
Experience with big data streaming technologies such as Kafka. Experience with parsing data formats such as XML/JSON and leveraging external APIs.
Benefits
Retirement savings including both 401(k) and Pension plans.
Paid time off to volunteer in your community.
Opportunities to connect with others through our diversity-focused Colleague Resource Groups.
Competitive salaries with professional development and advancement opportunities.
Bonus benefits including well-being programs and incentives, parental leave, an employee stock purchase plan, military benefits and much more.
Personal banking, loan, investment and insurance benefits.
Compliance Associated Bank is an equal opportunity employer committed to creating a diverse workforce. We support a work environment where colleagues are respected and given the opportunity to perform to their fullest potential. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Associated Banc-Corp is an Affirmative Action and Equal Opportunity Employer. Associated Banc-Corp participates in the E-Verify Program. E-Verify notices and Know Your Right to Work information are available in English and Spanish. For accommodations during the application process, please contact leavesandaccommodations@associatedbank.com.
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Data Engineer Senior
role at
Associated Bank .
Base pay range: $93,520.00/yr - $160,320.00/yr. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Associated Bank strives to create an inclusive culture where different perspectives are valued and recognized as strengths critical to our success. If you thrive in an environment where your growth and development are encouraged and supported, then Associated Bank may be the right place for you.
The Data Engineer Senior will have a strong background in data engineering, with extensive experience in securely designing, building, and maintaining scalable data pipelines and architectures. As a Data Engineer Senior, you will play a critical role in shaping our data infrastructure, ensuring the availability, reliability, and performance of our data systems. The Data Engineer Senior will be responsible for mentoring and teaching existing colleagues. As such, the ideal candidate must have experience clearly explaining solutions to complex problems and demonstrate the ability to lead and impact knowledge effectively to junior resources.
Responsibilities
Securely design, develop, test, and deploy streaming and batch ingestion methods and pipelines across a variety of data domains leveraging programming languages, application integration software, messaging technologies, REST APIs and ETL/ELT tools.
Ensure that high-throughput, low-latency, and fault-tolerant data pipelines are developed by applying best practices to the data mapping, code development, error handling and automation.
As part of an agile team, design, develop and maintain an optimal data pipeline architecture using both structured data sources and big data for both on-premises and cloud-based environments.
Develop and automate ETL/ELT code using scripting languages and ETL tools to support all reporting and analytical data needs.
Following DataOps best practices, enable orchestration of data, tools, environments, and code.
Design and build dimensional data models to support the data warehouse initiatives.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data pipeline performance, re-designing infrastructure for greater scalability and access to information.
Participate in requirements gathering sessions to distill technical requirements from business requests.
Collaborate with business partners to productionize, optimize, and scale enterprise analytics.
Qualifications
Education
Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field or equivalent combination of education and experience Required.
Master's Degree preferred in Computer Science, Information Technology, Engineering, or related field.
Experience
5-6 years data engineering focused on using ETL or ELT patterns to build automated data pipelines or related technologies Required.
3-5 years’ experience Cloud platforms (AWS, Azure, GCP, Snowflake) Snowflake preferred and Python programming or advanced SQL coding and performance tuning skills Required.
Thorough understanding of relational, columnar and NoSQL database architectures and industry best practices for development Preferred.
Understanding of dimensional data modeling for designing and building data warehouses Preferred.
Experience with Infrastructure as Code (IAC) tools such as Terraform.
Experience with big data streaming technologies such as Kafka. Experience with parsing data formats such as XML/JSON and leveraging external APIs.
Benefits
Retirement savings including both 401(k) and Pension plans.
Paid time off to volunteer in your community.
Opportunities to connect with others through our diversity-focused Colleague Resource Groups.
Competitive salaries with professional development and advancement opportunities.
Bonus benefits including well-being programs and incentives, parental leave, an employee stock purchase plan, military benefits and much more.
Personal banking, loan, investment and insurance benefits.
Compliance Associated Bank is an equal opportunity employer committed to creating a diverse workforce. We support a work environment where colleagues are respected and given the opportunity to perform to their fullest potential. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, among other factors.
Associated Banc-Corp is an Affirmative Action and Equal Opportunity Employer. Associated Banc-Corp participates in the E-Verify Program. E-Verify notices and Know Your Right to Work information are available in English and Spanish. For accommodations during the application process, please contact leavesandaccommodations@associatedbank.com.
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