Senior Staff Data Engineer

Capital One Financial

Confirmed live yesterday High trust

Remote

Quick summary

Work type: Remote
Location: McLean, VARichmond, VANew York, NY
Salary: $286,200–$326,700 / yr
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k

This role $306k

$135k most similar roles pay here $347k

This role pays more than 98% of similar roles. Most pay $157,550–$228,437 — the shaded band above. At the midpoint, this role pays about $306k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Staff Data Engineer

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Sr. Staff Data Engineer joins the Pipelines and External Data team within Enterprise Data as a senior individual contributor. This role involves driving technical strategy for data pipelines and sharing capabilities across all lines of business, focusing on innovation, platform scalability, and operational excellence. The successful candidate will be a hands-on leader who writes Python, SQL, Java, and Scala code to mature enterprise-scale systems. Key responsibilities include mentoring the engineering community, promoting best practices, and acting as a trusted advisor for specific technology domains. The role requires deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks. The position addresses complex technical challenges regarding internal and external data availability while ensuring high performance and resiliency for the organization's core data infrastructure and large-scale processing solutions.

What does a Data Engineer earn in Virginia?

Median $211200 from 85 postings across 6 companies.

See salary data

Skills

AWS Lakehouse Kafka Flink Spark Snowflake Databricks Python SQL Java Scala Data Modeling Machine Learning Big Data

What you'll do

Drive technical strategy for data pipelines and sharing capabilities across all lines of business.
Develop next-generation technology solutions using AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks.
Write production code in Python, SQL, Java, and/or Scala to build enterprise-scale systems.
Act as a trusted advisor to shape use cases and implementation for specific technology domains.
Promote engineering excellence by identifying opportunities to reuse and innersource solutions.
Mentor internal staff and lead the recruitment of external talent to grow the technical community.
Influence key stakeholders across the organization to drive adoption of modern technologies and best practices.

What we're looking for

Master's Degree (Preferred).
At least 9 years of experience in data engineering.
At least 5 years of experience in data architecture.
At least 3 years of experience building applications in AWS.
At least 3 years of experience implementing big data processing solutions on AWS.
Proficiency in Python, SQL, Java, and/or Scala.
Expertise in Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks.

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