Lead Data Engineer

Capital One Financial

Confirmed live 2 days ago Low trust

Quick summary

Work type: On-site
Location: Plano, TX
Salary: $179,400–$204,700 / yr
Posted: 101 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $187k

This role $192k

$154k most similar roles pay here $233k

This role pays less than 53% of similar roles. Most pay $162,000–$211,200 — the shaded band above. At the midpoint, this role pays about $192k versus about $187k 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 · Lead Data Engineer

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Lead Data Engineer (Java, Python, AWS) joins an engineering team to design, develop, test, implement, and support technical solutions within a full-stack development environment. Working alongside developers experienced in machine learning, distributed microservices, and full-stack systems, the successful candidate will build robust cloud-based solutions to solve complex business problems. The role involves performing unit tests and conducting code reviews to ensure performance and quality. Key technologies include Java, Scala, Python, and SQL, along with Open Source RDBMS and NoSQL databases like Mongo and Cassandra. The position also utilizes big data tools such as MapReduce, Hadoop, Hive, EMR, Kafka, and Spark, alongside cloud warehousing services including Redshift and Snowflake. Technical requirements include experience with AWS, UNIX/Linux shell scripting, and real-time data streaming applications to drive products for financial empowerment.

Skills

Python Java Scala AWS Redshift Snowflake SQL NoSQL Spark Kafka Hadoop Hive EMR MapReduce Cassandra UNIX Linux Agile

What you'll do

Design, develop, test, and implement technical solutions using full-stack development tools.
Build robust cloud-based data solutions using AWS, Redshift, or Snowflake.
Develop applications using Java, Scala, Python, and SQL for distributed microservices.
Manage large-scale datasets using RDBMS, NoSQL databases, and big data technologies like Spark or Kafka.
Perform unit tests and conduct code reviews to ensure performance and high-quality design.
Mentor other members of the engineering community and share knowledge on emerging tech trends.
Deliver scalable solutions that integrate machine learning and real-time data streaming.

What we're looking for

At least 4 years of experience in application development.
At least 2 years of experience in big data technologies.
At least 1 year of experience with cloud computing (AWS, Microsoft Azure, or Google Cloud).
7+ years of experience in application development including Python, SQL, or Scala.
4+ years of experience with public cloud platforms and distributed data/computing tools like Hadoop, Hive, or Spark.
4+ years of experience with NoSQL implementation, data warehousing (Redshift or Snowflake), and UNIX/Linux shell scripting.
2+ years of experience with Agile engineering practices.
Work authorization that require immigration support from an employer.

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