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# Senior Data Engineer in United

- **Company:** Energy Jobline
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Customer Data Management, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Dimensional Modeling, Python (Programming Language), Machine Learning, Operational Databases, Workflow Management Systems, Azure Service Bus, Sql Optimization, Snowflake, Integration Frameworks, Real Time Data, Apache Kafka, Data Management, Video Streaming, Databricks
- **Published:** October 2, 2026
- **Apply:** https://www.energyjobline.com/job/senior-data-engineer-united-31828310

## About the Role

* 5+ years of experience in Data Engineering or a related field.
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 * Strong Python programming skills, including experience working with data frameworks and APIs.
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 * Advanced SQL skills with experience building complex transformations and analytical datasets.
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 * Hands-on experience with Snowflake and modern cloud data platforms.
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 * Experience designing and maintaining ELT/ETL pipelines in production environments.
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 * Experience with orchestration tools such as Airflow.
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 * Experience working with cloud platforms such as Azure, AWS, or GCP.
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 * Strong understanding of data modeling, dimensional modeling, and data warehousing concepts.
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 * Experience implementing data quality, monitoring, and observability practices.
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 * Ability to support and troubleshoot production data pipelines.
\n, * Experience with Databricks, Kafka, Event Hubs, or other streaming technologies.
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 * Experience with dbt and modern data transformation frameworks.
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 * Familiarity with CDC, incremental processing, and real-time data architectures.
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 * Experience working within a medallion architecture (Bronze/Silver/Gold).
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 * Exposure to Informatica IDMC or similar enterprise data integration platforms.
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 * Experience supporting AI, machine learning, or advanced analytics initiatives.
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 * Knowledge of data governance, lineage, privacy, and compliance frameworks.
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 * Experience working with large-scale transactional or customer data environments.
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