Lead Data Engineer (Java, Python, AWS)

Capital One

Plano (TX)

On-site

USD 179,400 - 204,700

Full time

14 days+

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Benefits offered by this job

Performance-based incentive compensation
Comprehensive health benefits
Financial benefits

Job summary

Capital One is seeking a Lead Data Engineer in Plano, Texas. The successful candidate will collaborate with Agile teams to design and implement cutting-edge data solutions, bringing together expertise in languages like Java and Python, alongside big data technologies.

This role offers a competitive salary, between $179,400 and $204,700, and is part of a commitment to fostering a diverse workplace. Responsibilities include mentoring team members, driving innovation, and utilizing cloud services to enhance user experiences.

Qualifications

  • 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.

Responsibilities

  • Collaborate with Agile teams to design and implement solutions.
  • Work with developers on machine learning and full stack systems.
  • Utilize languages like Java, Python, and databases for cloud-based data warehousing.

Skills

Application development
Big data technologies
Cloud computing
Java
Python
SQL
Scala

Education

Bachelor’s Degree

Tools

AWS
Redshift
Snowflake
Hadoop
Spark

Job description

Lead Data Engineer (Java, Python, AWS) – Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast‑paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You’ll Do
  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full‑stack development tools and technologies
  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
  • Utilize programming languages like Java, Scala, Python and open‑source RDBMS and NoSQL databases and cloud‑based data warehousing services such as Redshift and Snowflake
  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
  • Collaborate with digital product managers and deliver robust cloud‑based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
  • Perform unit tests and conduct reviews with other team members to ensure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications
  • Bachelor’s Degree
  • At least 4 years of experience in application development (internship experience does not apply)
  • 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)
Preferred Qualifications
  • 7+ years of experience in application development including Python, SQL or Scala
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, or Google Cloud)
  • 4+ years of experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ years of experience working on real‑time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux, including basic commands and shell scripting
  • 2+ years of experience with Agile engineering practices
Additional Information

Salary (Plano, TX): $179,400 – $204,700 for Lead Data Engineer. These ranges apply only to candidates hired to perform work within the specified location. This role is eligible for performance‑based incentive compensation, including cash bonuses and/or long‑term incentives. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits supporting your total well‑being.

At this time, Capital One will not sponsor new applicants for employment authorization or provide immigration support for this position.

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable criminal background inquiry laws.

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