IPrime Info Solutions Inc.

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Cincinnati, OH, on a W2 contract for 12+ years of experience. Key skills include strong SQL, ETL/ELT (IBM DataStage preferred), Snowflake, and dbt. Local candidates preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
February 18, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Data Management #Datasets #MDM (Master Data Management) #Data Quality #Data Conversion #DataStage #Snowflake #SQL (Structured Query Language) #Data Engineering #Data Extraction #Data Mapping #dbt (data build tool) #"ETL (Extract #Transform #Load)"
Role description
Job Role: Senior Data Engineer Location: Cincinnati, OH (Locals Only) Type: Contract W2 Experience: 12+ years Interview: Video We are seeking 3 Mid-Level Data Engineers with strong SQL and ETL experience to support a major enterprise customer master data conversion initiative involving the integration of Comerica Bank systems into Fifth Third’s ECIF Customer Master Data Management environment. ⚠️ Preference for candidates local to Cincinnati or nearby states (OH, KY, IN) due to onsite requirement. πŸ”Ή Required Skills: Strong SQL ETL / ELT experience (IBM DataStage preferred) Snowflake dbt (SQL-based transformations) πŸ”Ή Role Responsibilities: Customer Data Extraction & Analysis Extract and analyze customer/account data from Snowflake Perform data quality, lineage, and anomaly analysis Write complex SQL for data preparation Customer Conversion Pipeline Development Build and maintain pipelines converting Comerica data into Fifth Third ECIF format Generate standardized customer/account views for downstream systems ETL / ELT Engineering Develop repeatable pipelines using: Snowflake dbt IBM DataStage (preferred) Data Mapping & Standardization Map source data fields to ECIF enterprise data models Apply cleansing, conformance, and transformation rules Downstream Integration Deliver curated datasets to ECIF and other downstream systems Collaborate with business and data teams for consumption readiness