Data Engineer

  • Bloomington, IL
  • Posted 22 hours ago | Updated 22 hours ago

Overview

Hybrid
$40 - $50
Contract - W2
Contract - 12 Month(s)
50% Travel
Able to Provide Sponsorship

Skills

Amazon Redshift
Amazon Web Services
Apache Airflow
Conflict Resolution
Continuous Delivery
Big Data
Cloud Computing
Collaboration
Communication
Computer Science
Continuous Integration
Data Architecture
Data Engineering
Data Integrity
Data Modeling
Data Security
Data Warehouse
Databricks
Docker
Extract
Transform
Load
Finance
Good Clinical Practice
Problem Solving
Google Cloud Platform
Insurance
Snow Flake Schema
Kubernetes
Python
Regulatory Compliance
Microsoft Azure
Health Care
Git
ELT
Version Control
SQL

Job Details

Job Description:

We are looking for an experienced and highly skilled Data Engineer to join our client s data engineering team in Bloomington, Illinois. This is a hybrid role, requiring the candidate to work onsite 2 3 days per week. The ideal candidate will have a strong background in building robust, scalable, and efficient data pipelines and possess a deep understanding of data architecture and distributed systems.

Key Responsibilities:

  • Design, develop, and optimize scalable data pipelines and ETL processes

  • Work closely with data analysts, data scientists, and business teams to deliver reliable data solutions

  • Create and maintain data architecture, data models, and data lakes/warehouses

  • Ensure data integrity, quality, and governance best practices are followed

  • Implement data security and compliance protocols where required

  • Monitor pipeline performance and troubleshoot any data-related issues

Required Skills & Experience:

  • 9+ years of professional experience in Data Engineering

  • Strong hands-on experience with SQL, Python, and Spark

  • Expertise in building ETL/ELT pipelines using tools like Apache Airflow, DBT, or similar

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (AWS preferred)

  • Deep understanding of data warehousing concepts, data modeling, and big data architectures

  • Strong experience with tools like Snowflake, Databricks, Redshift, or similar

  • Familiarity with version control (Git) and CI/CD practices

  • Excellent problem-solving and communication skills

Preferred Qualifications:

  • Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field

  • Experience in a hybrid work environment and ability to collaborate across remote teams

  • Knowledge of containerization tools like Docker or Kubernetes is a plus

  • Previous experience working in highly regulated industries (finance, insurance, healthcare)

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.

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