Data Engineer (Spark + HBase + Java)- 100% Remote- Only w2

We are looking for a hands-on Databricks Data Engineer with strong AWS experience to design, build, and optimize scalable data pipelines and lakehouse solutions. The role focuses on implementing robust batch and streaming data solutions using Databricks, Delta Lake, and AWS cloud-native services, ensuring high performance, scalability, and security. Key Responsibilities (Data Engineering & Pipeline Development) Build and maintain end-to-end data pipelines using Databricks, Delta Lake, and AWS se

Role: Senior Data Engineer Location : Remote Primary Responsibilities: Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads. Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to suppo

Role: AWS Data Engineer Location: Remote Role type: Long term Contract Experience:- 12+ Years of experience Role Summary: The Data Engineer will build and maintain secure, scalable, and automated data pipelines to support the ingestion, transformation, and curation of data products. This role will focus on implementing CI/CD pipelines, automated testing, and monitoring solutions.Key Responsibilities:Data Pipelines:Develop configuration-driven ingestion and transformation pipelines using AWS Glu

Role Senior azure Engineer Location: Remote (United States)Employment Type: Contract (W2) Duration: 6+ Months (Possible Extension)Key ResponsibilitiesDesign, build, and orchestrate scalabledata pipelinesusing Azure-native services.Develop and optimizebatch and near real-time data processing solutionsusing Spark and Databricks.Implement and manageenterprise-grade Lakehouse architectures(Medallion architecture).Performdata processing, validation, and automationusing Python (PySpark, Pandas, NumPy)