< Back to Job Board share Print Sr Data Engineers Las Vegas, Nevada, United States |

Posted:

9/17/2026 Apply Now Indotronix is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, creed/religion, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, or sex. Let Us Do the Heavy Lifting! Upload your resume and we'll reach out when a job fits your skills. Submit Resume Job Code

JPC - 209622

Posted Date 2026-09-17 04:01:19 Experience Primary Skills OverviewOur client is in the middle of a large-scale cloud modernization initiative, migrating enterprise data from on-premises environments to Google Cloud Platform (GCP) The primary focus of this role is designing and building data ingestion and ETL pipelines that move data from on-prem systems into cloud-based data platforms, ultimately landing in BigQueryData is currently being replicated from on-prem environments into Azure SQL and, where feasible, directly into GCP This role owns the ingestion and movement of data into the raw/bronze data layer Downstream data curation and reporting responsibilities are handled by separate teamsThe ideal candidate will have hands-on experience with cloud data, modern data engineering practices, and a strong understanding of both batch and real-time data processing This person should be solutions-oriented, capable of recommending improvements and best practices rather than simply executing predefined user storiesKey Responsibilities

• Design and develop data ingestion pipelines to move data from on-premises systems to GCP-based data platforms
• Build an, including: o SQL data warehouseso APIs and external data feedso IBM iSeries/DB2 databaseso Excel and other file-based sources
• Develop and optimize batch and near real-time data pipelines using Python and cloud-native services
• Implement and support, reporting, and analytics
• Recommend architectural improvements, automation opportunities, and data engineering best practicesEnvironment & Technology
• SSIS
• Google Cloud Platform (GCP)
• BigQuery
• Python
• Dataflow
• Datastream
• Apache Airflow
• CI/CD PipelinesEquivalent experience in AWS or Azure environments is acceptable, provided candidates have strong experience migrating data from on-premises systems into cloud platformsRequired Qualifications
• Strong SQL and data modeling fundamentals, must have SSIS
• Proven experience with cloud data migration projects, preferably into GCP environments
• Strong background in data ingestion, ETL/ELT development, and data integration
• Advanced Python development skills
• Experience with cloud-native data ingestion and orchestration tools such as: o Dataflowo Datastreamo Airflowo Azure Data Factoryo AWS Glueo Similar cloud-based services
• Experience building a, collaboration, and problem-solving skillsNice to Have
• Experience developing API integrations and managing data movement across systems
• Experience with Databricks implementations or data platform modernization initiatives
• Consulting or partner experience support