Sr. Data Engineer

Overview

On Site
$54 - $55
Contract - W2
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

SQL
DataStage
SAS
AWS
Azure
GCP

Job Details

Role: Sr. Data Engineer

Location: Cincinnati, OH (Onsite) Near By States only

Visa:only

Experience: 10+ years (Banking/Financial experience must)

Job Description

We are seeking a Data Engineering to join our dynamic team. In this role, you will play a key part in supporting a critical data migration initiative within our commercial lending, underwriting, and reporting functions.

You will collaborate with cross-functional teams and stakeholders to deliver high-quality solutions in a fast-paced environment.

Key Responsibilities

Analyze existing SQL, DataStage, and SAS code to extract business logic and identify critical data elements.

Create detailed inventories of current data usage across reporting and operational systems.

Assess the impact of data migration on downstream processes, reports, and regulatory requirements.

Design, construct, install, test, and maintain scalable data management systems aligned with migration goals.

Collaborate with business stakeholders to gather requirements and translate them into actionable engineering tasks.

Integrate modern data management and software engineering technologies into existing data ecosystems.

Develop and optimize data pipelines for mining, modeling, and production.

Create custom software components and analytics applications tailored to commercial lending and risk reporting.

Recommend improvements to enhance data reliability, quality, and performance.

Implement and maintain disaster recovery procedures.

Required Qualifications:

Bachelor s degree in Computer Science, Information Systems, or related field; or equivalent work experience.

At least 8 years of experience working with relational and non-relational databases (e.g., SQL, Snowflake, DB2, MongoDB).

Minimum 5 years of experience analyzing legacy codebases (SQL, DataStage, SAS) and documenting business logic.

4+ years of experience developing backend solutions using programming languages such as Python, Java, or J2EE.

3 5 years of experience building and maintaining data pipelines using tools like DataStage, dbt, and other ETL frameworks.

Minimum 5 years of experience in business analysis, including stakeholder engagement and translating requirements into technical solutions.

Excellent communication and interpersonal skills; able to work effectively with technical and non-technical teams.

2+ years of experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Preferred Qualifications

Experience in financial services or banking, especially in commercial lending, underwriting, or regulatory reporting.

Prior Agile experience.

Ability to work independently and manage multiple priorities in a fast-paced environment.

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.