Sr. Data Engineer

Job Title: Data EngineerLocation: 100% RemoteEmployment Type: W2 Contract, 6 Month Contract with possibility of extensionPay Rate: $50.00 – $55.00/hourRole Overview:BEPC is seeking a Data Engineer to support our client by designing, building, and optimizing scalable data pipelines and architectures. This role is ideal for a technically strong professional who thrives in a collaborative environment and enjoys working with large datasets, cloud platforms, and modern data technologies to drive business insights.Key Responsibilities:Design, develop, and maintain ETL pipelines for large-scale structured and unstructured data.Build and optimize data architectures, models, and database systems for performance and scalability.Develop data solutions using cloud platforms (AWS, Azure, or GCP)Collaborate with cross-functional teams to translate business needs into technical solutionsEnsure data quality, integrity, and security, especially with sensitive datasets.Integrate data from multiple sources including databases, APIs, and flat filesSupport analytics and machine learning initiatives with clean, reliable datasetsTroubleshoot and resolve data pipeline and performance issuesDocument systems, workflows, and processes for maintainability and knowledge sharing.Qualifications:Bachelor's degree in Computer Science, Engineering, or related field.3+ years of experience in data engineering or similar roles.Strong experience with ETL processes and data pipeline developmentProficiency in SQL and PythonExperience with Databricks, Apache Spark, or similar big data toolsHands-on experience with cloud platforms (AWS, Azure, or GCP)Strong understanding of database design and optimizationExperience working with large-scale and distributed data systemsAdvanced English communication skills.Preferred Qualifications:Experience with real-time data processing or streaming technologiesFamiliarity with industrial data systems (e.g., PLCs, LabVIEW).Exposure to machine learning workflows or data science collaborationKnowledge of data governance and compliance standards