[Remote] Data Engineer (API & Database)

Remote Full-time
Note: The job is a remote job and is open to candidates in USA. OSI Engineering is a globally leading consumer device company headquartered in Cupertino, CA, seeking an experienced Data Engineer. This role focuses on building robust data pipelines, integrating data from various APIs, and managing critical data infrastructure. Responsibilities • Design, develop, and maintain scalable data ingestion pipelines to extract data from various third-party and internal APIs (REST, SOAP, etc.) • Implement efficient data transformation and loading processes (ETL/ELT) within the data platform • Manage and optimize data storage and schemas in Snowflake and Postgres databases • Utilize Databricks for data processing, transformation, and orchestration tasks • Ensure data quality, accuracy, and integrity throughout the data pipelines • Collaborate with data analysts and BI developers (particularly Tableau users) to understand data requirements and optimize data models for performance • Monitor data pipelines and systems for performance issues, errors, and data discrepancies, implementing necessary fixes and improvements • Develop and maintain technical documentation for data pipelines, processes, and data models • Troubleshoot data-related issues and provide timely resolutions • Implement best practices for data security and governance within the data platform Skills • Proven experience as a Data Engineer, with a strong focus on API integration and database management • Experience building data pipelines for API data ingestion, including handling authentication, error handling, and data parsing • Strong proficiency in SQL and experience with database design, query optimization, and performance tuning in relational databases (e.g., Postgres) • Hands-on experience with Snowflake as a cloud data warehouse, including data loading, querying, and performance optimization • Experience using Databricks for data processing, ETL/ELT, and pipeline orchestration (e.g., PySpark, notebooks) • Proficiency in a programming language commonly used for data engineering (e.g., Python) • Experience working with cloud platforms (e.g., AWS, Azure, GCP) where Snowflake and Databricks are deployed • Understanding of data warehousing concepts and best practices • Experience supporting BI tools (like Tableau) by providing clean, structured, and performant data sources • Excellent problem-solving skills and ability to work independently in a fast-paced environment • Strong communication and collaboration skills • Experience with specific ETL/orchestration tools (e.g., Airflow, Fivetran, dbt) • Familiarity with containerization technologies (e.g., Docker) • Experience in a contract or consulting role • Knowledge of data governance and compliance standards • Experience with BI tools like Tableau, including dashboard creation or assisting BI developers with visualization best practices related to data structure Company Overview • OSI Engineering is a premier Staff Augmentation and Managed Services partner for today's tech leaders and tomorrow's luminaries. It was founded in 2010, and is headquartered in Campbell, California, USA, with a workforce of 201-500 employees. Its website is Company H1B Sponsorship • OSI Engineering has a track record of offering H1B sponsorships, with 13 in 2025, 7 in 2024, 11 in 2023, 5 in 2022, 4 in 2021, 4 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job
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