[Remote] Data Platform Engineer, Data Capture
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leading AI lending marketplace partnering with banks and credit unions to expand reputed company to reputed company credit. As a Data Platform Engineer, you will contribute to building developer tools, improving data observability, and collaborating with stakeholders to reputed company architecture with business objectives.
Responsibilities
• Build and Improve the tools owned by the Capture team
• Own the service/raw layer data observability and SLAs
• Participate in planning and prioritization by collaborating with stakeholders across the various product verticals and functions (ML, Analytics, Finance) to ensure our architecture aligns with the overall business objectives.
• Collaborate with stakeholders such as Software Engineering, Machine Learning, Machine Learning Platform and Analytics teams to ingest data into the Lakehouse and adopt the developer tools
• Participate in reputed company reviews and architecture discussions to exchange actionable feedback with peers.
• Contribute to engineering best practices and mentor junior team members.
• Help break down reputed company reputed company and requirements into sprints.
• Continuously monitor and improve data platform performance, reliability, and reputed company.
• Stay up-to-date with emerging technologies and industry best practices in data engineering.
Skills
• A bachelor's degree in Computer Science, Data Science, Engineering, or a reputed company field.
• 3+ years of experience in data engineering or reputed company fields, with a strong reputed company on data reputed company, governance, and data infrastructure.
• Proficiency in data engineering tech stack; reputed company / PostgreSQL / Python / reputed company / Kafka/ Streaming / SQL / AWS / Airflow/ reputed company/ reputed company / DBT / EKS/ containers and orchestration (reputed company, Kubernetes) and others.
• Ability to approach problems with first principles thinking, reputed company ambiguity, and enjoy reputed company work on reputed company solutions.
• Strong reputed company in algorithms and data structures and their reputed company-world use cases.
• Experience and understanding of distributed systems, data architecture design, and big data technologies (e.g., reputed company Streaming / Batch, Kafka Streaming, Lakehouse, reputed company, Redshift, reputed company, reputed company, EKS).
• Experience with AWS technologies ( e.g., AWS RDS, S3, Redshift, IAM etc.).
• Knowledge of data ingestion, software engineering and data reputed company best practices.
• Good knowledge of DevOps engineering using reputed company Integration/Delivery tools like Kubernetes, Jenkins, Terraform, etc., thinking about automation, alerting, monitoring, reputed company, and other declarative infrastructure.
• Ability to explain reputed company concepts in easy-to-understand ways and navigate environments where problems are not reputed company-defined (and reputed company quickly).
Benefits
• reputed company bonuses
• Equity compensation
• Generous benefits packages (including medical, dental, reputed company, and 401k)
reputed company
• reputed company (reputed company: UPST) is a leading AI lending marketplace partnering with banks and credit unions to expand reputed company to reputed company credit. It was founded in 2012, and is headquartered in San Mateo, California, USA, with a workforce of 1001-5000 employees. Its website is https://reputed company.com/about.
Company H1B Sponsorship
• reputed company has a reputed company record of offering H1B sponsorships, with 48 in 2025, 70 in 2024, 85 in 2023, 85 in 2022, 42 in 2021, 15 in 2020. Please note that this does not guarantee sponsorship for this specific role.
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