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Data Engineer (Remote - California) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in California (USA).. As a Data Engineer, you will play a key role in building and optimizing data pipelines, enabling the seamless flow of information across modern cloud platforms and analytics systems. This role involves working with large-scale, complex datasets to design ETL processes, integrate data sources, and ensure reliability and scalability of infrastructure. You will collaborate with data scientists, analysts, and business teams to create solutions that unlock insights and support decision-making. This is an excellent opportunity to apply your technical expertise while contributing to data-driven innovation in a fast-paced environment.. . Accountabilities. . Design, build, and maintain robust ETL pipelines to support large-scale data processing.. . Work with cloud data platforms (AWS, Azure, GCP) to architect scalable data solutions.. . Develop and optimize data models, ensuring high performance and accessibility.. . Integrate structured and unstructured data from multiple sources into analytics-ready systems.. . Implement data quality checks, monitoring, and performance tuning for reliability.. . Collaborate with cross-functional teams to deliver solutions aligned with business needs.. . Support real-time data streaming and automation initiatives using modern tools and frameworks.. . . . Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field.. . Strong experience with Python or Java for data engineering tasks.. . Hands-on expertise with frameworks such as Apache Spark, Airflow, and Databricks.. . Proficiency in ETL development and cloud-based data platforms (AWS S3, Redshift, Snowflake, or BigQuery).. . Solid knowledge of relational and non-relational databases, data modeling, and query optimization.. . Familiarity with infrastructure-as-code and DevOps practices for data systems.. . Experience collaborating with data scientists and analysts to support machine learning and analytics use cases.. . Strong problem-solving skills and ability to work in fast-paced, agile environments.. . Certifications in AWS, Microsoft, or Google Cloud are a plus.. . . Company Location: United States.