Vista Applied Solutions Group Inc

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer, onsite in Cincinnati, OH, with a contract length of "unknown". Pay rate is "unknown". Requires 5+ years in database management, legacy system analysis, and backend development with Python or Java. Financial domain experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 11, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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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
#Migration #SQL (Structured Query Language) #DataStage #Python #Data Migration #Business Analysis #Azure #Snowflake #Agile #Databases #SAS #Data Engineering #MongoDB #dbt (data build tool) #Scala #AWS (Amazon Web Services) #GCP (Google Cloud Platform) #Java #Data Pipeline #"ETL (Extract #Transform #Load)" #Data Quality
Role description
Data Engineer III Location: Onsite – Cincinnati, OH About the Role We’re looking for a Data Engineer III to play a key role in a large-scale data migration initiative within Client's commercial lending, underwriting, and reporting areas. This is a hands-on engineering role that blends technical depth with business analysis, focused on transforming legacy data systems into modern, scalable pipelines. What You’ll Do • Analyze legacy SQL, DataStage, and SAS code to extract business logic and identify key data dependencies. • Document current data usage and evaluate the downstream impact of migrations. • Design, build, and maintain data pipelines and management systems to support modernization goals. • Collaborate with business and technology teams to translate requirements into technical solutions. • Improve data quality, reliability, and performance across multiple environments. • Develop backend solutions using Python, Java, or J2EE, and integrate with tools like DataStage and dbt. What You Bring • 5+ years of experience with relational and non-relational databases (SQL, Snowflake, DB2, MongoDB). • Strong background in legacy system analysis (SQL, DataStage, SAS). • Experience with Python or Java for backend development. • Proven ability to build and maintain ETL pipelines and automate data processes. • Exposure to AWS, Azure, or GCP. • Excellent communication and stakeholder engagement skills. • Financial domain experience—especially commercial lending or regulatory reporting—is a big plus. • Familiarity with Agile methodologies preferred.