Artech

Big Data Engineer

Company : Artech

Location : Palos Heights, IL, 60463

Job Type : Full Time

Date Posted : 13 April 2026

Introduction

We invite you to join our team as a Big Data Developer/Engineer. We are a tight-knit, supportive community passionate about delivering the best experience for our customers while remaining sensitive to their unique needs.

Required Skills & Qualifications

Applicants must be able to work directly for our company on W2
Strong SQL Skills - one or more of MySQL, HIVE, Impala, SPARK SQL
Data ingestion experience from message queue, file share, REST API, relational database, etc., and experience with data formats like JSON, CSV, XML
Experience working with SPARK Structured Streaming
Experience working with Hadoop/Big Data and Distributed Systems
Working experience with Spark, Sqoop, Kafka, MapReduce, NoSQL Database like HBase, SOLR, CDP or HDP, Cloudera or Hortonworks, Elastic Search, Kibana, etc.
Hands-on programming experience in at least one of Scala, Python, PHP, or Shell Scripting
Performance tuning experience with Spark/MapReduce or SQL jobs
Experience and proficiency with Linux operating system is a must
Experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines
Experience working in Agile development process and deep understanding of various phases of the Software Development Life Cycle
Experience using Source Code and Version Control systems like SVN, Git, BitBucket, etc.
Experience working with Jenkins and Jar management
Self-starter who works with minimal supervision and the ability to work in a team of diverse skill sets
Ability to comprehend customer requests and provide the correct solution
Strong analytical mind to help tackle complicated problems
Desire to resolve issues and dive into potential issues
Ability to adapt and continue to learn new technologies is important

Preferred Skills & Qualifications

Experience in additional programming languages or technologies
Experience with cloud platforms
Advanced data analytics skills

Day-to-Day Responsibilities

Design, develop, and maintain data pipelines and architecture
Collaborate with cross-functional teams to meet project goals
Monitor and optimize system performance and data integrity

Company Benefits & Culture

Inclusive and diverse work environment
Opportunities for professional growth and development
Comprehensive benefits package

For immediate consideration, please click APPLY to begin the screening process.