Job Opportunity: Data Engineer - Chicago, NYC- 3 Months (CTH)

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Venu Goud

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Mar 13, 2026, 11:52:52 AM (yesterday) Mar 13

Job Title: Data Engineer

Location: Chicago, NYC

Duration: 3 Months (CTH)

Send me the resumes to Venu.e...@infosharesystems.com

Job Description:

As a Senior Data Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.

Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.

MAIN TASKS AND RESPONSIBILITIES:

• Obtains tasks from the project lead or Team Lead (TL), prepares functional and design specifications, approves them with all stakeholders.

• Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.

• Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.

• Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.

• Leads functional and architectural design of assigned areas. Makes sure design decisions on the project meet architectural and design requirements.

• Addresses area-level risks, provides and implements mitigation plan.

• Responsible for resolving crisis situations within his/her AOR.

• Initiates and conducts code reviews, creates code standards, conventions and guidelines.

• Suggests technical and functional improvements to add value to the product;

• Constantly improves his/her professional level.

• Collaborates with other teams.

REQUIRED EDUCATION AND EXPERIENCE

Must have:

• 6 - 8 years of professional experience as data engineer.

• Must have Strong experience with Apache Spark, including different techniques for optimizing Spark workloads

• Strong experience with Spark Structured Streaming

• Strong experience with Spark SQL and query performance optimization

• Experience with Terraform and Databricks Asset Bundles

• Able to work independently, prioritize effectively, and proactively identify opportunities for improvement

• Comfortable operating in a loosely defined scope, where they are expected not only to execute tasks but also help define priorities and drive work forward.

• Excellent communication skills and experience working with technical and non-technical teams.

• Able to clear hacker rank code test.

Nice to have:

• Experience with application development and Deatrick Apps

• Comfort working in Linux environments

• Background in financial markets, such as market making, trading, or related domain.