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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Viking Cruises - **Location:** Los Angeles, CA, United States - **Experience:** Experienced - **Salary:** $135,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Engineering, Data Architecture, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Document-Oriented Databases, Apache Hadoop, Apache Hive, Python (Programming Language), PostgreSQL, Machine Learning, Microsoft SQL Server, MySQL, Power BI, Software Engineering, SQL Databases, Azure Service Bus, Google Cloud, Apache Spark, Information Technology, Real Time Data, Apache Kafka, Spark Streaming, Data Management, Machine Learning Operations, Data Pipelines, Databricks - **Published:** September 13, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=437f5637a1d18c13 ## About the Role * Bachelor's (from a four-year college or university) or Master's degree in Computer Science, Computer Engineering, or a related field. * 4+ years of related experience in data warehousing, data pipelining and other big data technologies. Strong knowledge and/or experience in building a DataLakeHouse is a plus. * Strong proficiency in SQL and experience with relational databases such as PostgreSQL, MySQL, or SQL Server. * Experience with cloud platforms (e.g., Azure, AWS, GCP), with a preference for Azure. * Knowledge of big data technologies such as Spark, Hadoop, or Databricks. * Strong problem-solving skills and the ability to work independently and collaboratively in a team environment. * A proactive approach. * Excellent problem-solving and critical thinking skills. * Strong communication and collaboration skills, with the ability to work in a fast-paced and dynamic environment. * Ability to switch gears quickly and cope with change. * Proven experience in designing and implementing data engineering solutions, with a strong focus on data models and data architecture, ideally in the travel and leisure industry. * Azure Databricks (ML Flow, model serving) * Synapse Analytics & Pipelines * Strong skills in Python/Spark SQL * Experience with PowerBI * Experiance with real time data pipelines (kafka, event hubs, spark streaming) is a plus ## Description We are seeking a highly motivated and experienced Data Engineer to join our dynamic and growing Data Platforms & Solutions team. As a Data Engineer within our dynamic pricing product team, you will play a crucial role in supplying data for production machine-learning models. Working alongside data scientists, data analysts, and software developers, you will ensure the efficient and accurate handling of data pipelines, facilitate the implementation of data models, and contribute to the overall enhancement of our pricing strategies. Your key responsibilities will include: Job Responsibilities: * Design, develop, and maintain scalable data pipelines to support dynamic pricing models. * Collaborate with data scientists to prepare data for model training, validation, and deployment. * Implement and optimize ETL (Extract, Transform, Load) processes to ensure data accuracy and reliability. * Monitor and troubleshoot data workflows to ensure continuous and reliable data integration. * Work with the software development team to integrate data engineering solutions into the broader product architecture. * Ensure data governance and compliance with relevant data privacy and security regulations. * Engage with stakeholders to understand data requirements and translate these into technical specifications. * Document data engineering processes and contribute to best practices. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [MySQL Protocol Features You Should Be Aware Of](https://www.wearedevelopers.com/videos/100267-mysql-protocol-features-you-should-be-aware-of) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)