Senior Data Engineer

Prairie Consulting Services; Chicago (IL); Hybrid; USD 135,000 - 145,000; Full time

Job summary

A leading company in Chicago is seeking a skilled Data Analytics Engineer for a long-term hybrid contract. The role involves using SQL and other programming languages to integrate data from various sources into a central platform. The ideal candidate will have extensive experience in data engineering, particularly with Data Lakehouse and ETL solutions on Azure. Excellent communication skills are essential for presenting findings to non-technical audiences. Join a forward-thinking team and make a significant impact in the data-driven landscape.

Qualifications

• Minimum of 9 years of Data Engineering experience.
• Experience developing and deploying ETL solutions on Azure.

Responsibilities

• Collaborate with team members to understand data requirements.
• Pull data from various sources into a central data platform.
• Develop automated scripts to streamline manual processes.

Skills

SQL

Data Modeling

ETL

Communication

Problem Solving

Education

College or University Degree

Tools

Azure

Synapse Analytics

Job description

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Prairie Consulting Services provided pay range

This range is provided by Prairie Consulting Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$65.00/hr - $70.00/hr

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Position Details

Title: Data Analytics Engineer

Type: Long-term Hybrid contract

Location: Chicago, IL

Project Overview / Contractor's Role:

Our client is seeking an experienced Data Analytics Engineer responsible for using SQL and other programming languages to pull data from various sources into a central data platform. The ideal candidate should be an expert in SQL and data modeling.

Qualifications (must haves):

• Minimum of 9 years of Data Engineering experience
• Strong knowledge of Data Lakehouse and T-SQL relational/non-relational databases for data access and advanced analytics
• Experience in data integration solutions, building data pipelines, and ETL flows utilizing Synapse Analytics/Fabrics
• Experience developing and deploying ETL solutions on Azure
• Excellent oral and written communication skills
• Self-starter with analytical, organizational, and problem-solving skills
• Highly flexible and adaptable to change

Educational/Experience Qualifications:

A college or university degree and/or relevant proven work experience are required.

Tasks & Responsibilities:

• Collaborate with team members and stakeholders to understand data and metric requirements
• Pull data from various sources into a central data platform
• Structure datasets and calculate metrics based on requirements
• Develop automated scripts to streamline manual processes
• Communicate concerns and data findings to team members or stakeholders
• Present data findings and solutions clearly to non-technical audiences

If you are an experienced Data Analytics Engineer seeking your next challenge, we encourage you to apply and join a forward-thinking, data-driven team.

To apply or learn more, contact us directly.

Additional Information:

• Seniority level: Mid-Senior level
• Employment type: Contract
• Job function: Information Technology
• Industries: Banking, Investment Management, and Financial Services

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