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Staff Data Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Staff Data Engineer. in . United States. .. This role offers the opportunity to drive the development of large-scale, distributed data systems that power advanced analytics and machine learning in a fast-paced, mission-driven environment. You will design, build, and maintain robust data pipelines, process structured and unstructured data, and develop database models to support real-time and batch workflows. Working closely with cross-functional teams, you will help architect scalable solutions, automate deployment pipelines, and ensure data quality across the platform. This position allows you to have a direct impact on decision-making, product delivery, and operational efficiency while contributing to a company shaping the future of clean energy technology.. . Accountabilities:. . Build and maintain data flow channels and processing systems to extract, transform, and load data from various sources.. . Develop data pipelines using technologies such as Airflow and implement real-time and batch data processing.. . Design and maintain database models, create new data schemas in Postgres, and manage migrations using TypeORM.. . Write GraphQL queries to interact with databases for data retrieval and updates.. . Build and automate DevOps pipelines for continuous integration and deployment using GitLab.. . Participate in system-level design discussions and present technical solutions to product teams.. . Debug, modify, and optimize code based on testing cycles, defect reports, and user acceptance testing.. . Collaborate with engineering, product, and operations teams to deliver high-quality, scalable data solutions.. . . . Bachelor’s degree in Computer Science, Data Science, Machine Learning, AI, Engineering Management, or related fields.. . 5+ years of experience as a Data Engineer, Data Analyst, Software Engineer, or a related role, with progressive responsibilities.. . Proven experience developing globally distributed data services platforms.. . Proficiency in Python, Go, Java, Rust, or Julia for data engineering tasks.. . Strong experience in building ETL/ELT pipelines, processing structured and unstructured datasets.. . Knowledge of large-scale data technologies such as Airflow, Luigi, Spark, Kafka, Elasticsearch, Cassandra, and relational databases (Postgres, MySQL, MongoDB).. . Skilled in SQL query authoring for analytics and data accessibility.. . Experience with root cause analysis, data architecture optimization, and integrating complex datasets.. . Strong problem-solving, communication, and collaboration skills in a cross-functional environment.. . Eligible to work in the United States; remote work is permitted.. . . Company Location: United States.