drjobs Lead Data Engineer (Python, AWS, Spark) - Application Intelligence

Lead Data Engineer (Python, AWS, Spark) - Application Intelligence

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1 Vacancy
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Job Location drjobs

Plano, TX - USA

Monthly Salary drjobs

$ 175800 - 200700

Vacancy

1 Vacancy

Job Description

Lead Data Engineer (Python AWS Spark) - Application Intelligence

Do you love building and pioneering in the technology space Do you enjoy solving complex business problems in a fast-paced inclusive and iterative delivery environment At Capital One youll 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 youll have the opportunity to be on the forefront of driving a major transformation within Capital One.


About the Team:
As a Lead Data Engineer you will join the Application Intelligence Team within Financial Services Technology (Auto) at Capital One that builds and maintains the core data infrastructure for dealer-side Application Intelligence within Auto Finance. Were responsible for developing robust data pipelines and platforms that feed critical machine learning models. These models are instrumental in assessing consumer credit risk and informing sound auto financing decisions. Our work focuses on optimizing a multi-step decisioning platform continuously enhancing its efficiency and accuracy in evaluating lending risks.


What Youll Do:

  • Lead design and build Enterprise Level scalable low-latency fault-tolerant streaming data platform that provides meaningful and timely insights

  • Build the next generation Distributed Streaming Data Pipelines and Analytics Data Stores using streaming frameworks (Flink Spark Streaming) using programming languages like Java Scala Python

  • Lead a group of engineers building data pipelines using big data technologies (Spark Flink Kafka Snowflake AWS Big Data Services Snowflake Redshift) on medium to large scale datasets

  • Influence best practices for Data Pipeline design Data architecture and processing of structured and unstructured data.

  • Work in a creative & collaborative environment driven by agile methodologies with focus on CI/CD Application Resiliency Standards and partnership with Cyber & Security teams

  • 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 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

  • 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:

  • Bachelors 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 Java Python SQL or Scala

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

  • 4 years experience with Distributed data computing tools (Flink Kafka Spark)

  • 4 year experience working on real-time data and streaming applications

  • 4 years of experience with NoSQL implementation (DynamoDB OpenSearch)

  • 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


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.

Plano TX: $175800 - $200700 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 candidates 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 theCapital 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.

No agencies please. 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 Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal state and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position and you require an accommodation please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital Ones recruiting process please send an email to

Capital One does not provide endorse nor guarantee and is not liable for third-party products services educational tools or other information available through this site.

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).

Employment Type

Full-Time

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