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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Engineers - **Company:** Indotronix Avani Group - **Location:** Las Vegas, NV, United States - **Experience:** Expert - **Salary:** $69,545.0 - $85,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Microsoft Excel, Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Application Integration Architecture, IBM System I, BigQuery, Computer Programming, Continuous Integration, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Migration, IBM DB2, DevOps, Data Flow Control, Python (Programming Language), SQL Azure, Power BI, SQL Databases, SQL Server Reporting Services, SQL Server Integration Services, SQL Server Analysis Services, Transact-SQL, Unstructured Data, Scripting, Google Cloud, Data Ingestion, AWS Glue, Stream Processing, Data Pipelines, Serverless Computing, Databricks - **Published:** October 3, 2026 - **Apply:** https://www.careerjet.com/job/us81e922e599dcdf9ca2b77cf6aa6bbf7a/eaa ## About the Role 8+ years ETL experience using SQL Server SSIS (2008r2-2022) - 10+ years with T-SQL programming - Strong mastery of Microsoft BI Stack (SSIS, SSRS, SSAS) - Proven experience with Google Cloud Platform (BigQuery, Dataflow, Datastream), Azure SQL, or AWS equivalents - Advanced Python development for data workflows - Experience with Apache Airflow or similar orchestration tools - Deep understanding of data modeling concepts (relational & dimensional) - Hands-on experience in migrating data from on-premises to cloud environments - Ability to build and optimize both batch and real-time data pipelines - Strong documentation, collaboration, and communication skills - Willingness to provide 24x7 on-call support as needed Preferred Skills - Experience integrating APIs and external data feeds - Background in Databricks, Data Factory, AWS Glue, or similar tools - Exposure to gaming and hospitality data domains - Familiarity with Data Science data preparation, MDM, and Data Quality - Consulting or partner experience with enterprise cloud transformations - Python, Java, or .NET development, scripting languages, familiarity with DevOps practices ## Description Join a high-impact team driving a large-scale cloud modernization initiative for a major enterprise in the gaming and hospitality sector. As a Senior Data Engineer, you will architect and implement data ingestion and ETL pipelines, moving data from on-premises systems into Google Cloud Platform (GCP) with a focus on BigQuery. This is a unique opportunity to leverage your expertise in modern data engineering, collaborate on cutting-edge solutions, and influence best practices across a dynamic environment. Responsibilities - Design, develop, and optimize robust data ingestion pipelines to migrate enterprise data from on-premises sources to GCP-based platforms - Build, manage, and maintain ETL/ELT processes that load structured and unstructured data into centralized bronze/raw layers - Integrate data from a wide range of sources: SQL data warehouses, APIs, IBM iSeries/DB2, Excel, and file-based systems - Develop batch and near real-time data pipelines using Python and cloud-native services - Implement and support real-time data streaming with Dataflow and Datastream - Orchestrate complex data workflows using Apache Airflow - Support CI/CD processes for streamlined data engineering deployments - Collaborate closely with downstream analytics, data modeling, and reporting teams - Recommend architectural improvements and automation opportunities to optimize data engineering processes - Act as a technical leader, providing guidance and best practices for data migration and integration projects ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)