Senior Data Engineer - Data Engineering
Plaid
At a glance
AI generatedAs a Senior Data Engineer at Plaid, you will join the data engineering team to build and maintain scalable data systems that support data-driven decision-making across the company. Your daily tasks include designing and implementing SQL and Python-based data pipelines, integrating with Golang applications, and using tools like DBT, Airflow, Redshift, Atlan, and Retool to ensure efficient data processing and analysis. You will collaborate closely with various teams to establish Plaid’s data strategy and foster a data-first culture. Key responsibilities involve understanding the company's product and strategic needs to create high-quality datasets, ensuring data integrity and performance, and leading projects that enhance cross-functional collaboration. Ideal candidates have 4+ years of experience in large-scale data engineering, proficiency with modern SQL tools, and hands-on experience with data warehouses like Redshift and Snowflake, as well as batch and real-time pipeline technologies such as Spark and Kafka.
Skills
What you'll do
What we're looking for
Market check
This $190,800–$262,800 range sits above 86% of similar postings on FindRole.
Peer median band
$120,000–$203,250
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$129,850–$209,187
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
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 127 open roles on FindRole.
Listed pay typically runs $186,000–$262,800 across 127 roles with salary data.
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