Senior Data Engineer

πŸ•’ April 28

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Logo of Berkeley Payments

Berkeley Payments

11 - 50 employees

Founded 2005

πŸ’³ Fintech

🏦 Banking

Fintech β€’ Banking β€’ Payments

Berkeley Payments is a financial technology company that specializes in creating and managing virtual and physical payment cards, enabling real-time payments, and providing a broad set of financial solutions. Their platform offers a collection of features including low-cost transactions, spending controls, and card issuing through an Open-API system tailored for banking apps, gig workers, and loyalty programs. With an emphasis on security and compliance, Berkeley Payments supports various financial institutions by embedding sophisticated money movement services into their offerings.

πŸ“‹ Description

β€’ Own the design, development, and operation of our data infrastructure β€’ Ensure data is reliable, scalable, and trusted across the organization β€’ Shape data architecture, setting engineering standards β€’ Design, build, and maintain scalable and fault-tolerant data pipelines using AWS services β€’ Own and evolve the architecture for data ingestion, transformation, and storage β€’ Partner with analytics, finance, product, and engineering teams to translate business requirements into durable data solutions β€’ Establish data quality checks, monitoring, and alerting β€’ Ensure data security, integrity, and compliance across the full data lifecycle β€’ Mentor junior team members and set best practices for data engineering across the organization

🎯 Requirements

β€’ Bachelor’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience β€’ 5+ years of experience in data engineering or building backend data systems β€’ Strong hands-on experience designing and operating production data pipelines β€’ Deep proficiency in SQL and strong understanding of relational databases β€’ Strong programming skills in Python for data processing and automation β€’ Experience with AWS data services such as S3, RDS, Lambda, and related tooling β€’ Hands-on experience using Terraform or similar infrastructure-as-code tools β€’ Solid understanding of data warehousing concepts, dimensional modeling, and ETL best practices β€’ Strong problem-solving skills with the ability to reason about system trade-offs β€’ Clear communication skills and ability to work cross-functionally with technical and non-technical stakeholders.

πŸ–οΈ Benefits

β€’ Competitive salaries β€’ Excellent health and dental benefits β€’ Opportunities and support for ongoing learning, growth, and career development β€’ Fully remote environment

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