Data Engineer 4, Real-time Data Platform

Capital One Financial

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Quick summary

Work type: On-site
Location: Plano, TX
Salary: $179,400–$204,700 / yr
Employment: Full-time
Posted: 11 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $180k

This role $192k

$141k $224k

below market most similar roles pay here above market

This role pays more than 52% of similar roles. Most pay $149,500–$211,200 — the blue band above. At the midpoint, this role pays about $192k versus about $180k 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 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 · Data Engineer 4, Real-time Data Platform

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The Data Engineer 4, Real-time Data Platform joins a team of makers to lead the design and construction of an enterprise-level, low-latency, and fault-tolerant streaming data platform. This role involves building next-generation distributed streaming data pipelines and analytics data stores to provide timely insights. You will lead a group of engineers to develop pipelines using big data technologies including Spark, Flink, Kafka, Snowflake, Redshift, and AWS Big Data Services. Key responsibilities include influencing best practices for data architecture, processing structured and unstructured data, and collaborating on full-stack development solutions. You will utilize programming languages such as Java, Scala, and Python while working within agile methodologies focused on CI/CD and application resiliency. The work addresses the technical challenge of processing large-scale datasets to drive cloud-based solutions.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

Python SQL Java Scala Spark Flink Kafka Snowflake AWS Redshift Airflow Databricks MongoDB Cassandra DynamoDB CI/CD Agile EMR Glue Splunk

What you'll do

Design and build scalable, low-latency, and fault-tolerant streaming data platforms.
Build next-generation distributed streaming data pipelines using Flink, Spark Streaming, Java, Scala, or Python.
Lead a group of engineers in developing data pipelines using Spark, Kafka, Snowflake, and AWS Big Data Services.
Influence best practices for data architecture and the processing of structured and unstructured data.
Develop and support robust cloud-based solutions in a full-stack development environment.
Perform unit tests and conduct code reviews to ensure performance tuning and rigorous design.
Mentor other members of the engineering community and share knowledge on emerging technology trends.

What we're looking for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 4 years of experience in application development.
At least 2 years of experience in distributed data.
At least 2 years of experience with SQL.
At least 2 years of experience with one programming language (Python, Java, or Scala).
At least 2 years of experience in data pipeline design and development.
At least 1 year of experience in data modeling and designing end-to-end data solutions using relational and non-relational databases.
7+ years of experience in application development with proficiency in Python, SQL, Scala, or Java (preferred).

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