Data Engineer II

IGT

. Design, develop, and maintain scalable ELT/ETL pipelines using Databricks, Apache Spark, SQL, and Python .

Posted 10/13/2026full-timeUnited StatesMid-LevelSeniorWebsite

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. Proficient in collaborating with stakeholders to deliver data solutions and modernizing legacy processes to cloud-native architectures.

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 LakeREST APIsCI/CD PracticesData Quality ImprovementAutomation

Soft Skills

Analytical SkillsTroubleshootingProblem-SolvingCommunicationCollaboration

Tools & Technologies

AWSAmazon S3IAMLambdaGlueDatabricks WorkflowsApache AirflowGitJSONExcel

Industry Keywords

GamingHospitalityFinancial ServicesData-Intensive IndustriesAI/ML Workflows

Tech Stack

Tools & technologies

AirflowApacheAWSCloudETLPythonSparkSQL

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 supporting 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
Identify opportunities for automation, optimization, and simplification to continuously improve the enterprise data platform

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
Preferred: experience with AWS data services such as Amazon S3, IAM, Lambda, Glue, or related technologies
Preferred: experience working with Databricks on AWS
Preferred: experience with Delta Lake and Medallion/Lakehouse architecture
Preferred: experience with Databricks Workflows, Apache Airflow, or similar workflow orchestration platforms
Preferred: experience consuming and developing REST APIs
Preferred: experience with semi-structured data, including JSON and Excel-based data ingestion
Preferred: familiarity with CI/CD practices for data engineering
Preferred: exposure to AI/ML workflows or data preparation for machine learning and generative AI applications
Preferred: experience working in gaming, hospitality, financial services, or other data-intensive industries

Benefits

Comp & perks

401(k) savings plan with company contributions
Medical insurance
Dental insurance
Vision insurance
Life coverage
Disability coverage
Paid time off
Tuition reimbursement
Wellness programs
Potential bonus or commission opportunities, subject to role and eligibility