Senior Data Engineer

RemoteWorker US; Richmond (VA); Remote; USD 144,000 - 165,000; Full time

Job summary

An established industry player is seeking a Senior Data Engineer to join their innovative team. This role offers the chance to work at the forefront of technology, solving complex business problems using data and emerging technologies. You will collaborate with Agile teams to design and implement full-stack solutions, utilizing your expertise in programming languages like Python, Java, and Scala, as well as cloud services such as AWS and Snowflake. If you're passionate about data and eager to make a significant impact in the financial sector, this opportunity is perfect for you.

Benefits

Comprehensive health benefits

Performance-based incentives

Inclusive work environment

Financial wellness programs

Qualifications

• 3+ years of application development experience, excluding internships.
• Experience with big data technologies and cloud services.

Responsibilities

• Collaborate with Agile teams to design and implement technical solutions.
• Develop robust cloud-based solutions for financial empowerment.

Skills

Java

Scala

Python

SQL

Machine Learning

Agile Engineering Practices

Education

Bachelor’s Degree

Tools

AWS

Microsoft Azure

Google Cloud

Redshift

Snowflake

Hadoop

Kafka

Spark

UNIX/Linux

Job description

Senior Data Engineer

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 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 make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance.

Basic Qualifications:

• Bachelor’s Degree.
• At least 3 years of experience in application development (Internship experience does not apply).
• At least 1 year of experience in big data technologies.

Preferred Qualifications:

• 5+ years of experience in application development including Python, SQL, Scala, or Java.
• 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
• 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 2+ year experience working on real-time data and streaming applications.
• 2+ years of experience with NoSQL implementation (Mongo, Cassandra).
• 2+ years of data warehousing experience (Redshift or Snowflake).
• 3+ years of experience with UNIX/Linux including basic commands and shell scripting.
• 2+ years of experience with Agile engineering practices.

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, or another type of work authorization).

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: $158,600 - $181,000 for Senior Data Engineer.

Richmond, VA: $144,200 - $164,600 for Senior Data Engineer.

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.

This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace.