Data Engineer

  • Brookfield, WI
  • Posted 4 days ago | Updated 1 hour ago

Overview

On Site
USD 80,000.00 - 110,000.00 per year
Full Time

Skills

Data Flow
RDBMS
Analytics
Reporting
Collaboration
Management
Decision-making
Documentation
Data Architecture
Workflow
Emerging Technologies
Data Engineering
Python
Scripting
Apache Spark
Apache Hadoop
Apache Kafka
Data Integration
Extract
Transform
Load
Data Modeling
Database Design
Cloud Computing
Data Storage
Snow Flake Schema
Microsoft Azure
Data Visualization
Microsoft Power BI
Tableau
Problem Solving
Conflict Resolution
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for an experienced Data Engineer to join our team in Brookfield, Wisconsin. This role offers the opportunity to work in a dynamic environment, tackling diverse data engineering challenges while contributing to impactful projects. As a valued team member, you will leverage advanced tools and technologies to design, optimize, and implement data solutions that support organizational goals.

Responsibilities:
Develop, maintain, and optimize data pipelines to ensure efficient data flow and integration.
Design and implement data models and relational database systems to support analytics and reporting.
Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business needs.
Utilize tools such as Apache Spark, Hadoop, and Kafka to process and manage large-scale data.
Perform Extract, Transform, Load (ETL) operations to prepare data for analysis and decision-making.
Create and maintain documentation for data architecture, processes, and workflows.
Monitor and troubleshoot data systems to ensure optimal performance and reliability.
Integrate cloud-based data storage solutions like Snowflake or Azure into existing infrastructure.
Work with data visualization tools, such as Power BI and Tableau, to provide actionable insights.
Stay updated on emerging technologies and trends in data engineering to enhance system capabilities.

Requirements

At least 2 years of relevant experience in a data-specific role.
Proficiency in Python and strong knowledge of scripting languages.
Hands-on expertise with Apache Spark, Hadoop, Kafka, and similar frameworks.
Solid understanding of data integration and ETL processes.
Experience with data modeling and relational database design.
Familiarity with cloud data storage platforms like Snowflake or Azure.
Knowledge of data visualization tools such as Power BI or Tableau.
Strong problem-solving skills and the ability to work independently or within a team.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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