Data Analytics Engineer - 240106

Overview

On Site
Hybrid
$145000 - $165000 per annum
Full Time

Skills

Python
Pandas
SQL
Airflow
Nifi
RabbitMQ
Requests Library
Pandas

Job Details



Job Title: Data Analytics Engineer - 240106
Position Type: Direct Hire
Work Location: Hybrid Onsite - Downtown Chicago (Loop)
Compensation: $145,000 - $165,000 / year + benefits + bonus




ABOUT OUR CLIENT / ABOUT THIS ROLE
Medix is currently seeking a Data Analytics Engineer for a full-time, career opportunity with one of our best Real Estate and Investment clients, headquartered downtown Chicago.

This role will be working in a Corporate Analytics team to provide data-driven insights and decision support, using primarily Python and Apache/ Cloud based tool sets.


This role is on-site, several days per week in Downtown Chicago / Loop - accessible by public transit, and a short walk from both Chicago Union Station and Ogilvie Transportation Center - If you're going to be on-site, this is a great location for anyone living near the CTA or Metra Commuter lines!


RESPONSIBILITIES



  • Serving as a Senior Data Analytics Engineer - both in technology, and in mentoring junior team members.

  • Working in a business-facing role for requirements discovery, analysis and capture. This role will be working with Directors and Executives from across the business to custom-tailor Analytics solutions. Strong presentation and communication skills are a must.

  • Working with Python to extract data from APIs. Using web-scraping and natural language tools to extract and scrape unstructured data from the web. Our client's systems are API-heavy, and involve CSV and JSON formats that are unstructured, messy, and need to be transformed. This role will be using Python libraries to achieve transformation goals.

  • This role needs to be able to present the data in a visual form - whether through simple graphs or through more robust visualization (Power BI, Tableau, etc). Being able to tell a compelling story with the data is important.


REQUIRED QUALIFICATIONS



  • Local to Chicago - Willing to work ONSITE several days / week

  • Senior-level (7-10 years of professional experience)

  • Analytics focused - experience with Python Libraries

  • Expertise with Python and SQL for data refinement

  • Expertise with Apache tools - NiFi, AirFlow, Kafka

  • Experience with RabbitMQ or similar MQ / Message brokers

  • Experience working with AWS ecosystems preferred



ADDITIONAL INFORMATION
This is a permanent / direct hire job.


This job is a hybrid on-site 3 days / week in Downtown Chicago. The interview process may include on-site interviews. Candidates must currently live in the Chicagoland area for consideration



For California Applicants:


We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable federal, state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance (FCIHO), Los Angeles Fair Chance Ordinance for Employers (ULAC), The San Francisco Fair Chance Ordinance (FCO) , and the California Fair Chance Act (CFCA).


This position is subject to a background check based on its job duties, which may include patient care, working with vulnerable populations, access to financial and confidential information, driving, working with heavy machinery, or working in a warehouse or laboratory environment. Due to these job duties, this position has a significant impact on the business operations and reputation, as well as the safety and well-being of individuals who may be cared for as part of the job position or who may interact with staff or clients.

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.