Sr. Engineer - Big Data (Hybrid)

At Fingerhut, you will enter a culture that encourages team members to be bold and courageous. A culture that is zealous in pursuit of our mission to help our customers live a better financial life. In this culture, our team members find opportunities to stretch themselves, have a voice that is valued and is listened to have a sizeable impact on the business, work cross-functionally and collaboratively. We are continually innovating and improving, challenging ourselves to take risks, learn from mistakes, and celebrate success as a team. We also grow careers, giving employees on-the-job stretch assignments, lateral moves to expand knowledge bases, and promotional opportunities that help to accelerate development. As a Sr. Big Data Engineer , you will design robust, secure, and maintainable data solutions that enable our advanced Analytics, Reporting, and Machine Learning capabilities across our organization. If you are an individual who likes to touch a variety of BI and Data Engineering technologies, you will be an ideal fit. Your role is expected to collaborate with IT personnel, infrastructure/cloud engineering, business stakeholders, your peers, and vendor contacts on a regular basis in support of your responsibilities. This is not just another job; Fingerhuts mission is to help Americans live a better financial life by helping them establish, build, or rebuild their credit. Youll help the business hold itself accountable to deliver on our mission every day. We empower each employee to put the customer first and our culture of ensuring all employees have an impact enables an entrepreneurial passion. No matter what stage of your career, youll make an impact on business results and interface with key leaders. As we continue to invest in machine learning, data-driven modeling, CRM tools and innovation, the future is very exciting. Join us in our mission This role is based out of our Eden Prairie, MN head office within our hybrid environment that has team members come into the office 3 days a week. DUTIES AND RESPONSIBILITIES Responsible for the health of the Big Data Platform and user community. Responsible for the full development life cycle of initiatives that cross various IT and business domains. Details include detailed design, code development, code reviews, unit testing, build/test support, data quality monitors, deployment activities, and post-deployment support. Provide technical direction to other data engineers across all aspects of the development lifecycle. Responsible for project management of team timelines and estimated development duration. Responsible for maturing data engineering principles, patterns, and practices, and ensuring team member accountability. Team technical leader for Agile processes and principles. Influence the team to improve operational processes for efficiency gains. Proactively engage in both internal and external learning opportunities across data engineering, machine learning, and AI. Use those learnings to influence infrastructure/cloud, data engineering, and data science practices across the organization. Communicate openly, candidly, and effectively with your leadership and peers, both verbally and in your writing. REQUIRED QUALIFICATIONS Bachelors degree in computer science, software engineering, a related field, or equivalent combination of educational and work experience. 5 years delivering production applications on Big Data technologies (Map/Reduce, Hive, Spark, etc.) by leveraging at least 1 of the following programming languages: Python, Java, Scala. 5 years of experience with BI disciplines, with mastery of 2 of the following: Cloud, Object-Orientated Programing, Data Integration, Modeling, or Analytics 5 years of SQL experience with the ability to write complex SQL statements while leveraging optimal code hygiene practices Advanced knowledge of, and extensive experience with, the Apache Spark framework in a production application setting. Proven track record of designing, building, deploying, and evolving ETL solutions to meet business requirements. Understanding of Data Science, Machine Learning, and AI techniques, and how to optimize processes supporting them in a Big Data ecosystem. Databricks, EMR, and Redshift experience are highly desired. PREFERRED QUALIFICATIONS Knowing when, and how, to leverage NoSQL data stores, messaging systems, or pub-sub queuing systems within the overall data strategy. Understanding of ingesting data from APIs along with the optimization of the processes leveraging them. Experience using source code version control systems (git) and authoring CI/CD pipelines. Demonstrated experience creating and rolling out programming best practices in an organization. Proven analytical, troubleshooting and problem-solving skills and ability to communicate well with both technical and non-technical personnel. Experience with any of DMS, FiveTran HVR, SageMaker, Dataiku, SAS, Looker, MicroStrategy, Power BI, Databricks platform administration, or BI-focused AWS Cloud Architecture is a bonus. Physical Requirements This position requires prolonged periods of sitting, working with a computer and other work-related equipment up to 9 hours per day. Additionally, tasks may include occasional lifting of documents up to 10 pounds. When working in the office, home and/or other locations there will be occasional bending, twisting, reaching and moving. If you have a physical or medical limitation that may impact your ability to perform any of these tasks, please consult with Human Resources to explore potential accommodations. About Fingerhut: BLST Operating Company (Bluestem Brands) is a group of FinTech, and eCommerce Retail businesses (www.bluestem.com) led by our Fingerhut and Orchard Portfolios. This position falls under Fingerhut a long-standing fintech company. Check out www.fingerhut.com to see who we are and what we do for our customers. Fingerhut fuses our extensive years of data modeling and real-time analytics through machine learning to provide flexible payment options for our valued customers looking to establish, build, or rebuild credit. Qualifying customers use their accounts for e-Commerce purchases at fingerhut.com for everything they and their family need across a broad selection of national brands. LI-FH24