Data Engineer

At Associated Bank we strive 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 works with application developers to automate and accelerate the testing, release and deployment of applications into a runtime environment quickly and reliably. The Engineer will have a background in development, operations, and full-stack implementations. They will also have experience programming in a high-level language such as Ruby, Python, Java, C# or other language to script installation, configuration and provisioning. They will be providing continuous delivery solutions in a cloud environment and have experience with the core suite of tools used to manage different cloud providers.
The Engineer may also be responsible for building and maintaining optimized and highly available data pipelines that facilitate deeper analysis and reporting by the Data and Analytics department

We can hire candidates located within the Associated Bank footprint. This includes the states of Arizona, Connecticut, Florida, Illinois, Iowa, Indiana, Massachusetts, Maine, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, Nevada, Ohio, Pennsylvania, Rhode Island, South Carolina, Texas, and Wisconsin. 

We invite you to view the opportunity below. 

 

As a Data Engineer, you will: 

• 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 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-premise and cloud-based environments.
• Develop and automate ETL code using scripting languages, ETL tools and job scheduling software to support all reporting and analytical data needs.
• 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.
• Collaborate with data architects and modelers on data store designs and best practices

Education

Bachelor's Degree or equivalent combination of education and experience Mathematics, Computer Science, Management Information Systems, Data Science or Analytics. Required

Experience

• 2-5 years with a broad portfolio of AWS infrastructure tools (EBS, S3, EC2, Elastic IP, Route 53, VPC) and with cloud infrastructure management and automation technologies. Required
• 2-5 years working with basic structured, semi-structured, and unstructured data. Required
• Basic SQL knowledge proficiency and analytical skills. Required
• Exposure to modern data/analytics architecture (Azure, AWS, GCP, Snowflake, Big Data, Cloud, etc.). Required
• Exposure to advanced analytics tools (Python, R, etc). Scripting (shell, python, ruby) skills for monitoring and automation. Required

Other Technical Skills Preferred

• Thorough understanding of relational, columnar and NoSQL database architectures and industry best practices for development
• Understanding of dimensional data modeling for designing and building data warehouses
• Excellent advanced SQL coding and performance tuning skills
• 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

In addition to core traditional benefits, we take pride in offering benefits for every stage of life. 

• 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 em