

Agility Partners
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position in the financial services industry, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include ETL development with Snowflake and DataStage, data management, and experience with SQL and NoSQL databases.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
June 30, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Snowflake #DataStage #MySQL #Computer Science #Data Management #Data Modeling #Databases #Data Engineering #Data Science #BI (Business Intelligence) #Data Quality #Disaster Recovery #MongoDB #Hadoop #Business Analysis #Data Integration #SQL (Structured Query Language) #NoSQL #Data Architecture #"ETL (Extract #Transform #Load)" #Scala
Role description
Agility Partners is seeking a Data Engineer to fill a position with one of our clients in the financial services industry. This is an opportunity to help build and enhance enterprise data platforms that drive critical business decisions and analytics initiatives. The ideal candidate will work with modern data technologies to design scalable data solutions, improve data quality, and support business intelligence capabilities across the organization.
Responsibilities
• Design, build, maintain, and optimize scalable data management systems and ETL processes to support enterprise reporting and analytics needs.
• Develop and enhance data integration solutions using Snowflake, DataStage, and related technologies to ensure reliable and efficient data movement.
• Collaborate with data architects, business analysts, data scientists, and IT teams to deliver high-quality data solutions that align with business objectives.
• Research, implement, and recommend improvements to data reliability, quality, disaster recovery processes, and emerging data technologies.
Qualifications
• Proven experience in Business Analysis and Business Intelligence environments with a strong understanding of data-driven business processes.
• Hands-on experience developing and supporting ETL solutions using Snowflake, DataStage, and related data integration technologies.
• Strong understanding of data warehousing concepts, data modeling, data acquisition, and data management best practices.
• Experience working with relational and non-relational databases, including SQL, MySQL, NoSQL, Hadoop, MongoDB, or similar technologies.
• Experience designing, building, and supporting scalable enterprise data platforms and analytics solutions.
• Technical degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
Agility Partners is seeking a Data Engineer to fill a position with one of our clients in the financial services industry. This is an opportunity to help build and enhance enterprise data platforms that drive critical business decisions and analytics initiatives. The ideal candidate will work with modern data technologies to design scalable data solutions, improve data quality, and support business intelligence capabilities across the organization.
Responsibilities
• Design, build, maintain, and optimize scalable data management systems and ETL processes to support enterprise reporting and analytics needs.
• Develop and enhance data integration solutions using Snowflake, DataStage, and related technologies to ensure reliable and efficient data movement.
• Collaborate with data architects, business analysts, data scientists, and IT teams to deliver high-quality data solutions that align with business objectives.
• Research, implement, and recommend improvements to data reliability, quality, disaster recovery processes, and emerging data technologies.
Qualifications
• Proven experience in Business Analysis and Business Intelligence environments with a strong understanding of data-driven business processes.
• Hands-on experience developing and supporting ETL solutions using Snowflake, DataStage, and related data integration technologies.
• Strong understanding of data warehousing concepts, data modeling, data acquisition, and data management best practices.
• Experience working with relational and non-relational databases, including SQL, MySQL, NoSQL, Hadoop, MongoDB, or similar technologies.
• Experience designing, building, and supporting scalable enterprise data platforms and analytics solutions.
• Technical degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.






