Lead Data Engineer (Python, Scala, Spark)

Relha LLC; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Benefits offered by this job

Health benefits

Incentives

Job summary

Capital One is hiring a Lead Data Engineer in McLean, VA to drive a major transformation. You will design and implement data solutions using Java, Scala, Python, SQL, and cloud data warehousing with Redshift or Snowflake. Mentoring peers and exploring new technologies are key parts of the role.

You will collaborate with Agile teams, work on ML, ETL, and distributed systems, and help deliver secure, scalable cloud-based experiences for millions of customers.

Qualifications

• Bachelor's degree required.
• 4+ years in application development.
• 2+ years in big data technologies.
• 1+ year in cloud computing (AWS/Azure/Google).
• Knowledge of Java, Scala, Python, SQL and NoSQL databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement and support big data solutions.
• Work with developers in ML, distributed microservices and ETL systems.
• Use Java/Scala/Python and SQL, RDBMS and NoSQL databases, and cloud warehousing like Redshift/Snowflake.
• Mentor engineers, stay updated with tech trends and contribute to communities.
• Deliver cloud-based solutions that enable financial empowerment for customers.

Skills

Java

Scala

Python

SQL

Big data

Cloud

Education

Bachelor's Degree

Tools

Redshift

Snowflake

Hadoop

Kafka

Spark

MySQL

Mongo

Cassandra

EMR

Unix/Linux

Job description

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 Big Data development tools and technologies

Work with a team of developers with deep experience in machine learning, distributed microservices, and ETL 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 make sure 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 experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

7+ years of experience in application development including Python, SQL, Scala, or Java

4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

4+ year 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

Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Lead Data Engineer

Richmond, VA: $179,400 - $204,700 for Lead Data Engineer

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

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 for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).