Data Engineer II

IGT

Data Engineer II responsible for building scalable data solutions for enterprise analytics using modern technologies. Collaborates with stakeholders to transform requirements into high-quality datasets.

Posted 7/18/2026full-timeChicago • Illinois, Nevada, Rhode Island, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $104,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python, while ensuring data quality and optimizing performance in cloud-based environments. Collaborates effectively with stakeholders to deliver data solutions that support enterprise analytics and operational reporting.

Highest-signal resume keywords

Data EngineeringSQL DevelopmentPython ProgrammingApache SparkDatabricks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentETL/ELT ProcessesData ModelingData WarehousingCloud-Based Data PlatformsDelta LakeData Quality ImprovementAutomationTroubleshootingPerformance Optimization

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsCollaboration Skills

Tools & Technologies

DatabricksApache SparkSQLPythonGitAWS

Industry Keywords

Data EngineeringEnterprise AnalyticsOperational ReportingCloud-Native ArchitecturesLakehouse Architecture

Tech Stack

Tools & technologies

ApacheAWSCloudETLPythonSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python
Build and maintain reliable, high-quality datasets that support enterprise analytics, operational reporting, and AI use cases
Develop data transformations using Delta Lake and Lakehouse architecture best practices
Integrate data from enterprise applications, APIs, databases, files, and other internal and external sources
Collaborate with business stakeholders, analysts, and product teams to understand data requirements and deliver scalable solutions
Monitor, troubleshoot, and optimize production data pipelines for reliability, scalability, and performance
Participate in migrating and modernizing legacy data processes to cloud-native architectures
Improve data quality through validation, testing, monitoring, and automation
Contribute to engineering best practices through code reviews, documentation, and knowledge sharing
Support continuous improvement of the enterprise data platform by identifying opportunities for automation, optimization, and simplification

Requirements

What you’ll need

Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience
3+ years of experience in Data Engineering or a related technical role
Strong SQL development skills
Strong Python programming experience
Experience building data pipelines using Apache Spark and Databricks (or similar distributed data processing platforms)
Experience developing modern ETL/ELT pipelines
Understanding of data modeling and data warehousing concepts
Experience working with cloud-based data platforms, preferably AWS
Familiarity with Delta Lake or similar modern data storage technologies
Experience using Git and collaborative software development practices
Strong analytical, troubleshooting, and problem-solving skills
Excellent communication and collaboration skills.

Benefits

Comp & perks

medical, dental, and vision insurance
life and disability coverage
paid time off
tuition reimbursement
wellness programs
401(k) savings plan with company contributions