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Data Engineer

Salary undisclosed

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MBS Pro Staffing is seeking an experienced Data Engineer for an onsite position in Cincinnati, Ohio. Please note that we are unable to provide sponsorship at this time.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines
  • Develop and optimize complex SQL queries to support data analytics and reporting
  • Collaborate with stakeholders to understand data requirements and deliver reliable datasets
  • Monitor data quality and performance of data systems
  • Document processes and contribute to data engineering best practices

Required Qualifications:

  • Proficiency in: Strong proficiency in SQL you write clean, efficient, and optimized queries
  • FDIC experience (regulatory reporting/ calculation) required
  • Experience with data warehousing concepts and practices
  • Familiarity with modern data stack tools
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • 8 years of experience in Data Engineering

Preferred Qualifications

  • Experience with: Experience with DBT (Data Build Tool)
  • Experience with Snowflake or other cloud data warehouses
  • Python or other scripting language for data manipulation
  • Familiarity with version control (e.g., Git) and CI/CD workflows
  • Familiarity with Agile methodologies and DevOps practices.
  • Advanced certifications or specialized training.
  • Prior experience working in Finance/Banking

Work Location:

  • Location: Downtown Cincinnati, onsite
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

MBS Pro Staffing is seeking an experienced Data Engineer for an onsite position in Cincinnati, Ohio. Please note that we are unable to provide sponsorship at this time.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines
  • Develop and optimize complex SQL queries to support data analytics and reporting
  • Collaborate with stakeholders to understand data requirements and deliver reliable datasets
  • Monitor data quality and performance of data systems
  • Document processes and contribute to data engineering best practices

Required Qualifications:

  • Proficiency in: Strong proficiency in SQL you write clean, efficient, and optimized queries
  • FDIC experience (regulatory reporting/ calculation) required
  • Experience with data warehousing concepts and practices
  • Familiarity with modern data stack tools
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.
  • 8 years of experience in Data Engineering

Preferred Qualifications

  • Experience with: Experience with DBT (Data Build Tool)
  • Experience with Snowflake or other cloud data warehouses
  • Python or other scripting language for data manipulation
  • Familiarity with version control (e.g., Git) and CI/CD workflows
  • Familiarity with Agile methodologies and DevOps practices.
  • Advanced certifications or specialized training.
  • Prior experience working in Finance/Banking

Work Location:

  • Location: Downtown Cincinnati, onsite
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job