Senior Data Scientist - Credit
At a glance
AI generatedTL;DR
As a Senior Data Engineer at the Seattle office, you will join a dynamic team focused on building scalable data solutions for our growing platform. Your primary responsibilities include designing and implementing robust data pipelines, integrating diverse data sources, and ensuring high-quality data governance practices. You will work closely with cross-functional teams to develop innovative analytics tools that drive business insights and support decision-making processes. The ideal candidate possesses expertise in Python, SQL, and cloud-based technologies such as AWS or Azure. Strong knowledge of big data frameworks like Hadoop and Spark is also essential. This role requires a deep understanding of data warehousing concepts and the ability to handle large-scale datasets efficiently.
Skills
What you'll do
- Design and implement data models to support business intelligence needs.
- Develop ETL processes to ensure accurate and timely data flow.
- Analyze complex datasets to identify trends and provide actionable insights.
- Create and maintain documentation for all data systems and procedures.
- Optimize database performance by monitoring and tuning queries and scripts.
What we're looking for
- Minimum 5 years of experience in data analysis and reporting.
- Proficiency in SQL, Python, or R for data manipulation and analysis.
- Strong understanding of data warehousing concepts and tools.
- Experience with BI tools like Tableau or PowerBI for visualization.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
- Excellent problem-solving skills and ability to work independently.
Employer
About Plaid
Plaid is a financial technology company that builds a data network powering digital finance applications, enabling consumers to securely connect their financial accounts to apps and services. Industry: Financial Technology & Data Infrastructure
Plaid currently has 58 open roles on FindRole.
Listed pay typically runs $204,156–$281,196 across 58 roles with salary data.
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