Data Engineer

Job Title: Data Engineer

Location: Cincinnati, OH

Duration: 12+ Months (Extension Possible)

JOB DESCRIPTION

Squad: MLOps Data Enablement - This squad accelerates model development by partnering with data scientists to deliver high-quality, production-ready data. We clean and prepare datasets, integrate new sources, and engineer features leveraging a modern tech stack including dbt and Snowflake. Our work streamlines the modeling pipeline, enabling faster experimentation and deployment across the bank.

Technical Skills: SQL, SQL, and SQL, Basic understanding of relational databases & Experience cleaning and transforming data

Nice to Have Technical Skills: Snowflake, DBT, Python & Basic understing of Data Science and how they work

Soft Skills: Problem Solving Mindset, Communication, Driven, Curious, Positive Attitude

Onsite: 4 Days (M,Tu,W,Th) @ Fifth Third Center Downtown - Cincinnati, OH

Job Summary:

Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.

Primary Responsibilities:

• Design, construct, install, test and maintain data management systems.
• Build high-performance algorithms, predictive models, and prototypes.
• Ensure that all systems meet the business/company requirements as well as industry practices.
• Integrate up-and-coming data management and software engineering technologies into existing data structures.
• Develop set processes for data mining, data modeling, and data production.
• Create custom software components and analytics applications.
• Research new uses for existing data.
• Employ an array of technological languages and tools to connect systems together.
• Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals.
• Install/update disaster recovery procedures.
• Recommend different ways to constantly improve data reliability and quality.

Qualifications:

• Technical Degree or related work experience
• Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
• Experience programming and/or architecting a back end language (Java, J2EE, etc)