Data Engineer III (DataStage Developer) (W2)

Video

Onsite

No H1

To expedite your application, please provide the following information with your submission:

• Full Name (First, Middle, Last)
• Location (must be local to Cincinnati)
• Direct Phone Number (No VoIP/Google numbers)
• Email Address (most established personal email ID)
• Last 5 Digits of SSN
• Work Authorization Status
• Availability
• Rate Confirmation (desired W2 hourly rate)
• LinkedIn Profile URL
  
  

Job Overview

We are seeking a highly skilled Data Engineer III with strong experience in Datastage development and data integration. This is a fully on-site role, requiring candidates to be local to the Cincinnati metro area or willing to relocate immediately at their own expense. The role involves working closely with a financial services client to manage and optimize their data infrastructure, including data movement, integration, ETL, and testing processes. The ideal candidate will possess strong problem-solving skills, data engineering fundamentals, and a willingness to work in a collaborative environment.

Key Responsibilities

• Datastage Development: Lead and execute data integration and ETL processes using Datastage.
• Data Management: Design, develop, and maintain scalable data management systems.
• Collaboration: Work closely with data architects, IT teams, and data scientists to design and implement data solutions.
• Data Integration: Move, integrate, and test data across platforms, ensuring quality and performance.
• Agile Environment: Collaborate with agile teams to design, develop, and modernize data ingestion and optimization processes.
• Problem Solving: Be proactive in identifying data-related issues and creating solutions for better performance and scalability.
  
  

Must-Have Skills

• Datastage Development: Extensive hands-on experience with Datastage for ETL, data movement, and integration.
• SQL Proficiency: Strong knowledge of SQL for querying, analyzing, and managing databases.
• ETL Testing: Experience in testing and ensuring the quality of data pipelines.
• Data Integration: Expertise in moving and integrating large data sets across platforms.
  
  

Nice-To-Have Skills

• Linux: Familiarity with Linux operating systems for platform management.
• Oracle: Experience with Oracle databases.
• Snowflake: Knowledge of Snowflake for cloud-based data solutions.
• Tomcat: Experience with Tomcat for web applications and system architecture.
  
  

Job Requirements

• Education: A technical degree in computer science, information systems, or related field is preferred, but equivalent work experience is also considered.
• Experience: 3 years of experience in Data Engineering, with a strong focus on Datastage development.
• Industry Knowledge: Familiarity with data mining practices, data algorithms, and advanced data engineering techniques.
• Technical Skills: Experience with relational and non-relational databases (SQL, MySQL, NoSQL), and backend programming languages (Java, J2EE, etc.).
  
  

Primary Responsibilities

• System Design: Design and construct scalable data management systems to meet business and industry standards.
• Algorithms & Models: Build high-performance algorithms, predictive models, and data prototypes.
• Data Architecture: Integrate new technologies into existing data structures and collaborate with teams on project goals.
• Disaster Recovery: Install and update disaster recovery procedures to ensure data reliability.
• Continuous Improvement: Recommend and implement improvements for data reliability, quality, and system performance.
  
  

Important Candidate Requirements

• Candidates must be local to the Cincinnati metro area, within a 30-minute drive to the worksite.
• Relocation candidates will only be considered if they are willing to relocate at their own expense and can start on-site from day one.
• No West Coast candidates (PST time zone) will be accepted for this role.