Data Engineer - Consumer/Small Business
Company
BankUnited
Location
Miami, FL
Type
Full Time
Job Description
Who We Are
BankUnited (NYSE: BKU) is a national bank headquartered in Miami Lakes, Florida with banking centers in Florida, the New York metropolitan area, Dallas and Atlanta. BankUnited has two subsidiaries, Pinnacle Public Finance headquartered in Scottsdale, Arizona and Bridge Funding Group headquartered in Hunt Valley, Maryland. We pride ourselves on our entrepreneurial and collaborative culture encompassing the best minds, the brightest talent and the boldest decision makers.
BankUnited is honored to announce that we have been included on the Newsweek and Statista America's Most Trusted Companies Award List!
BankUnited has been recognized by Newsweek for two outstanding awards in 2023 as one of America's Greatest Workplaces and as one of America's Greatest Workplaces for Job Starters, which acknowledges our commitment to creating an exceptional workplace.
Our Culture
At BankUnited, we foster a diverse and inclusive environment where all employees have the opportunity to advance, grow and achieve their goals. Our rally cry is to GO FOR MORE™, a call to action to go above and beyond to provide the best customer experience to every client and to GO FOR MORE in your career.
Why BankUnited
Working for BankUnited offers you exciting challenges and opportunities to advance your professional development, while empowering you to deliver and be your best. We are happy to report the average tenure according to LinkedIn insights is 8.3 years. We strive to provide a competitive benefits plan to our employees and are proud to have been nationally ranked #1 as one of the 2023 Healthiest 100 Workplaces in America by Springbuk and awarded HEALTHIEST EMPLOYER by the South Florida Business Journal since 2020.
As a company, we believe we are only as successful as our people and are committed to providing training and innovative resources that prepare you to reach your full potential. That's why in addition to tuition reimbursement, we provide our employees with exciting career coaching, courses and training through our own GO FOR MORE™ Academy and mentoring opportunities through our iCARE™ (Inclusive Community of Advocacy, Respect and Equality) program.
At BankUnited, we strive to provide our employees with a work life balance. Specifically, retail branches operate 5 days a week Monday - Friday, excluding evening and/or weekend hours. For many of our positions, we offer a hybrid work environment, as well as a remote work environment for designated positions.
If you thrive in a fast-paced collaborative work environment, Apply Now and start your journey with BankUnited today!
Job Description
SUMMARY: The Data Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives. This individual will also be responsible for supporting Consumer/Small Business units through the utilization of technical and business knowledge to recommend solutions that solve business problems and reporting needs, amongst other skill sets. This includes identifying and defining data analytics needs as well as the structuring and analysis of data from multiple source systems for the purposes of creating and maintaining reporting (e.g. visual and flowchart modeling).
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Work closely with IT departments to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
- Combine raw information from different sources to create consistent and machine-readable formats.
- Develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.
- Support the data mining, reporting and general analytics needs of the department.
- Identify process gaps and recommend new opportunities for process improvement through the use of quantitative analytics.
- Apply statistical techniques to interpret risk and develop solutions for business consumption.
- Leverage understanding of multiple data structures and sources to perform complex data manipulation using advanced data extraction and analytical tools and techniques.
- Recognizes the connection between the business operations and analytics to influence business strategies through the interpretation and explanation of data to stakeholders.
- Supports development of innovative approaches and best practices.
- Perform any other assignments as directed by manager.
- Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
- Adheres to Bank policies and procedures and completes required training.
- Identifies and reports suspicious activity.
EDUCATION
Bachelor's Degree in Computer Science, Data Analytics, Data Science, Management Information Systems or a related field.
EXPERIENCE
- At least 4 years working with data modeling, software implementation, enhanced reporting analytics and/or related experience in financial services data analysis and/or application development.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Mastery of analytic and data visualization tools such as SAS, SQL, Adobe Analytics Tableau, Google Analytics, Python or R, AWS Cloud Services (Cloudwatch ,EC2, EMR, Redshift, Athena,Glue) etc.
- Ability to multitask, meet deadlines, manage competing demands/multiple projects, maintain a strong sense of urgency and follow through in addressing issues.
- Effective and persuasive presentations (verbal and written) for project teams and business leaders.
- Maintains strong attention to detail in high-pressure situations.
- Solid understanding of data warehouse and dimensional modeling concepts.
Date Posted
03/16/2024
Views
3
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