Sr Data Engineers

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Sr Data Engineers

• Location: Las Vegas, Nevada 89109
• Work model: On-site
• Posted 4 weeks ago
• Job ID: JPC - 209622

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Job Description

Sr Data Engineer - Cloud Data Modernization

Location: Las Vegas, NV | Contract-to-Hire | Remote Eligible

About the Role

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

Required Skills and Experience

• 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

Benefits

• Long-term contract with intent to convert to permanent
• Opportunity to work on a flagship cloud modernization project
• Exposure to the latest cloud and data engineering technologies
• Collaborative, agile team environment with strong technical leadership
• Career advancement in a high-growth, innovative sector

How to Apply

Excited to architect the future of enterprise data? Submit your updated resume highlighting relevant cloud migration, ETL, and Python experience. Qualified candidates will be contacted promptly for interviews.

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Job details

Job ID JPC - 209622

Location Las Vegas, Nevada, United States

Work Model On-site

Job Type Contract to Hire

Posted September 17, 2026

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: oSQL data warehousesoAPIs and external data feedsoIBM iSeries/DB2 databasesoExcel 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: oDataflowoDatastreamoAirflowoAzure Data FactoryoAWS GlueoSimilar 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

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