Negotiable
Outside
Remote
USA
Summary: The BI Data Engineer role involves designing and constructing scalable data management systems while ensuring compliance with company requirements and industry standards. The position requires advanced SQL skills and familiarity with tools such as DBT and Snowflake, along with experience in Agile environments. The engineer will also research new data acquisition methods and improve data reliability and quality. Collaboration with team members, including data architects and IT professionals, is essential for achieving project goals.
Key Responsibilities:
- Design, construct, install, test and maintain data management systems.
- 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.
Key Skills:
- Advanced SQL capabilities
- DBT
- Snowflake
- Data Analysis
- Experience working in an Agile environment
- Technical Degree or related work experience
- Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.)
Salary (Rate): undetermined
City: Cincinnati
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
BI Data Engineer
Contract
Cincinnati Ohio - Need Local
Direct Client
Must have:
Advanced SQL capabilities
DBT
Snowflake
Data Analysis
Experience working in an Agile environment
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.
- 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.)