Sr. Data Integration Engineer

Reposted 12 Days Ago
NYC, NY
In-Office
Expert/Leader
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software • Analytics • Generative AI
"Empowering IT Excellence: Unlocking Your Business Potential"
The Role
The role involves designing, developing, and maintaining data integration solutions, providing technical support, and managing complex ETL operations in collaboration with data stakeholders.
Summary Generated by Built In
Sr. Data Integration Engineer

Location: NYC, New York (Fully Onsite)

Duration: 30 Months


Description:

Seeking an experienced technical resource that would work with the data governance platform / catalog solution and other DFS applications and systems that house data, in close collaboration with the DFS IT organization.

Duties: 
  • Experience designing, developing, and maintaining data platform/data catalog and related (i.e., data integration) solutions.
  • Drive the design and development of connectors into a data catalog platform and related technologies.
  • Debug and resolve software defects, including those that improve the performance and reliability of application connectors.
  • Provide technical support and guidance to internal data stakeholders, liaise with vendors/solution providers as necessary.
  • Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end
  • Write documentation to encourage adoption of above tools/technologies and support users in their use; support data stakeholders as needed.
  • Develop a system of complex ETL operations using SQL Server, Python and/or similar technologies.
Mandatory Requirements:
  • Experience (12+ Years)
  • Develops and implements applications and programs for the backend processing systems used in businesses and organizations.
Requirements:
  • This is a 100% Onsite contract role
  • 72 Months of Experience in designing, developing, and maintaining data platform/data catalog and related (i.e., data integration) solutions
  • 72 Months of Experience in driving the design and development of connectors into a data catalog platform and related technologies.
  • 72 Months of Experience in debugging and resolving software defects, as well as improving the performance and reliability of application connectors.
  • 72 Months of Experience in providing technical support and guidance to internal data stakeholders, liaise with vendors/solution providers
  • 72 Months of Experience in independently analyzing, solving, and correcting issues in real time, providing problem resolution end-to-end
  • 72 Months of Experience in writing documentation to encourage adoption of data platform/data catalog and related (i.e., data integration) solutions and support users in their use; support data stakeholders as needed.
  • 72 Months of Experience in developing a system of complex ETL operations using SQL Server, Python and/or similar technologies.
  • Bachelor’s Degree
  • Résumé
  • Copy of Candidate Identification (i.e., Driver’s License/Green Card/Visa and Passport if applicable)
  • Any documents referenced in the above Requested Qualifications (i.e., professional certifications, degrees, etc.)

Top Skills

ETL
Python
SQL Server
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The Company
HQ: Edison, New Jersey
135 Employees
Year Founded: 1989

What We Do

Information & Technology Management: Pioneering Innovation Since 1989, Leading in MLOps Today!

With over 20+ years as an IT leader driving digital transformation through software engineering, DevOps, Data Engineering, and Analytics, ITM has been at the forefront of technological innovation. We have helped many clients maximize efficiency, insight, and competitive edge by leveraging the latest tools and capabilities.

As artificial intelligence and machine learning fundamentally reshape business, we are proud to have rapidly upskilled to lead clients in this critical new arena. Today, ITM provides cutting-edge MLOps solutions to extract true business value from AI/ML while mitigating risk.

Partnering with our clients, we:

- Design and execute strategies for scalable, sustainable enterprise ML/AI

- Build and operationalize pipelines, systems, and models that deliver accurate insights

- Ensure governance, compliance, explainability, and responsible AI practices

- Futureproof through adaptable MLOps platforms and frameworks


At ITM, we don't just implement AI - we set our clients up for long-term AI success through robust MLOps. As an agile IT leader for over 20 years, no one is better positioned to make ML/AI work for your organization today and into the future.

Let's chat about how we can accelerate your AI journey through proven MLOps solutions.

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