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Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Data Engineer. in the . United States. .. We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data infrastructure in a dynamic cloud environment. The role involves driving advanced analytics, business intelligence, and machine learning initiatives by creating efficient data pipelines and robust datasets. You will work closely with cross-functional teams to translate business requirements into technical solutions, while optimizing performance, ensuring data quality, and supporting both batch and real-time processing. The ideal candidate thrives in autonomous settings, navigates complex challenges, and contributes to high-impact projects that enable data-driven decision-making across the organization.. . Accountabilities. Design, implement, and optimize well-structured analytical datasets to support reporting, analytics, and data science models.. Architect, build, and maintain scalable, reliable data pipelines for diverse applications.. Implement and support Big Data solutions for both scheduled batch processing and real-time/streaming analytics.. Collaborate with product managers and business teams to understand data needs and translate them into technical solutions.. Ensure data quality, performance tuning, and scalability of data solutions.. Continuously improve data workflows, orchestration, and integration practices.. . Extensive hands-on experience with cloud platforms, particularly Google Cloud Platform (GCP).. Expertise in BigQuery, including data ingestion, performance optimization, and data modeling at petabyte scale.. Proficiency with other GCP services such as Cloud Storage, Cloud Dataflow/Beam, and Pub/Sub.. Expert-level Python programming skills and familiarity with relevant data engineering libraries.. Strong command of advanced SQL for querying, data processing, and performance tuning.. Experience with data pipeline orchestration tools (e.g., Apache Airflow, Cloud Composer, Dagster).. Knowledge of DevOps/CI/CD practices and version control systems (e.g., Git, GitLab, GitHub Actions).. Ability to work independently, solve complex problems, and manage multiple priorities in a dynamic environment.. . Company Location: United States.