Senior Staff Data Engineer

Capital One Financial

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Remote

Quick summary

Work type: Remote
Location: McLean, VARichmond, VANew York, NY
Employment: Full-time
Posted: 56 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $184k

$133k $240k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $146,162–$221,000.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · Senior Staff Data Engineer

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JOB TITLE: Sr. Staff Data Engineer The Sr. Staff Data Engineer joins the Pipelines and External Data team within Enterprise Data as a Senior Director-level Individual Contributor. This role serves as a visionary and hands-on leader responsible for driving the technical strategy for data pipelines and sharing capabilities across all lines of business. You will build and mature enterprise-scale systems, focusing on platform scalability, operational excellence, and performance. Key responsibilities include mentoring engineers, promoting engineering excellence, and influencing stakeholders to adopt modern technologies. You will utilize deep expertise in AWS infrastructure, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks. The role requires writing Python, SQL, Java, and/or Scala code to solve complex data availability problems and deliver next-generation technology solutions for internal and external data sources.

What does a Data Engineer earn in Virginia?

Median $155450 from 67 postings across 8 companies.

See salary data

Skills

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

What you'll do

Drive the technical strategy for data pipelines and sharing capabilities across all lines of business.
Write production code in Python, SQL, Java, and/or Scala to build and mature enterprise-scale systems.
Design and implement scalable data solutions using AWS, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, and Databricks.
Promote a culture of engineering excellence by reusing and innersourcing solutions across the organization.
Act as a trusted advisor to shape use cases and unified implementations for specific technology domains.
Mentor internal engineering talent and actively recruit external talent to build next-generation technical teams.
Influence key stakeholders across the enterprise to drive adoption of modern technologies and engineering best practices.

What we're looking for

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
Masters’ Degree (preferred)
10+ years of experience in data engineering (preferred)
3+ years of data modeling experience (preferred)
3+ years of experience implementing big data processing solutions on AWS (preferred)
Bachelor’s Degree.

Staff Data Engineer

Amd

Austin, TX 4 days ago $115,600–$173,400

SQL Python Snowflake Databricks Spark PySpark dbt Airflow CI/CD Git MLOps APIs Data Modeling Data Pipelines Feature Engineering Data Quality

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