Vista Applied Solutions Group Inc
Senior Data Engineer (Cincinnati)
Vista Applied Solutions Group Inc, Cincinnati, Ohio, United States, 45208
Data Engineer III
Location: Onsite
Cincinnati, OH
About the Role Were 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 Youll 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 experienceespecially
commercial lending or regulatory reporting is a big plus. Familiarity with
Agile
methodologies preferred.
Cincinnati, OH
About the Role Were 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 Youll 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 experienceespecially
commercial lending or regulatory reporting is a big plus. Familiarity with
Agile
methodologies preferred.