Capital One
Posted 1mo ago

Senior Lead Data Engineer (AWS, Python, Snowflake, Databricks, AI-Assisted Coding Tools)

Capital One
McLean or Richmond
$209k-$262k/yrOnsiteFull Time
Responsibilities
  • leading developers
  • designing solutions
  • testing code
Requirements
  • Bachelor's degree
  • 6+ years application development
  • 2+ years big data, and 1+ year cloud computing experience. Preferred expertise includes Python, SQL, Scala, Java
  • Distributed data
  • Streaming, NoSQL, and data warehousing
Technical tools mentioned
Amazon Web Services (AWS)PythonSnowflakeDatabricksJavaScalaSQLRedshiftMicrosoft AzureGoogle CloudMapReduceHadoopHiveEMRKafkaSparkGurobiMySQLMongoCassandraUNIXLinux

Job description

Overview



Senior Lead Data Engineer (AWS, Python, Snowflake, Databricks, AI-Assisted Coding Tools)

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 Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities.

In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value.

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

  • Lead 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 6 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: 

  • Master's Degree 

  • 9+ 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)

  • 5+ 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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

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: $229,900 - $262,400 for Sr. Lead Data Engineer


Richmond, VA: $209,000 - $238,500 for Sr. 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 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 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.

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 1-800-304-9102 or via email at [email protected]. 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 One's recruiting process, please send an email to [email protected]

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).

About Capital One

Provides credit card, banking, and auto loan services.

Year founded
1994
Employees
76300
Organization type
Public
Headquarters
US

Similar jobs

Data Engineer roles near McLean, Virginia
8h
Save
Mark Applied
Hide
Staff Data Engineer, Mission Data Platform - Clearance Required
Newport News or Tysons
$101k-$174k/yr OnsiteFull Time
LMI
LMI: Provides management consulting and digital solutions to federal government agencies.
8+ YOEBachelor's degree or equivalent experience, 8+ years building production data systems, Python and SQL proficiency, data pipeline design experience, technical leadership, DoD customer experience, and active Secret clearance.
Python, SQL, CI/CD, AWS, Palantir Foundry, Army Vantage, DevSecOps
11h
Save
Mark Applied
Hide
Data Engineer
Washington or Arlington
OnsiteFull Time
Expression Networks
Expression Networks: Develops software and spectrum management for defense agencies.
Bachelor’s plus 3 years, associate’s plus 7 years, major certification plus 7 years, or 11 years’ specialized experience. Requires Secret clearance, Python, SQL, distributed data frameworks, ML model deployment, and strong communication.
Python, SQL, Spark, Databricks, PySpark, Docker, Terraform, SageMaker, MLflow, Palantir MSS Workshop, Slate, scikit-learn, TensorFlow, XGBoost, Palantir Foundry, AWS, Azure
11h
Save
Mark Applied
Hide
Junior Data Engineer
Chantilly or Herndon
$90k-$130k/yr OnsiteFull Time
Dark Wolf Solutions
Dark Wolf Solutions: Provides cybersecurity and software development services to defense agencies.
0+ YOEBachelor's degree in a technical field, 0–4+ years of data engineering experience, strong SQL, Python, and Bash skills, and active TS/SCI clearance with Full-Scope Polygraph required.
Python, SQL, Docker, Apache Spark, Pandas, PostgreSQL, Bash, Agile, Scrum, Kanban, AWS, Azure, SonarQube
13h
Save
Mark Applied
Hide
Data Engineer, TS//SCI with Counterintelligence Polygraph Required
Alexandria, Virginia, United States
$150k-$180k/yr OnsiteFull Time
Accrete AI
Accrete AI: AI agents that automate complex decision-making through knowledge engines.
3+ YOERequires active TS/SCI clearance with counterintelligence or lifestyle polygraph, 3+ years of relevant technical experience, strong SQL, ETL/ELT, scripting, data management, and a relevant bachelor's degree or equivalent experience.
SQL, Python, Microsoft Excel, PostgreSQL, MySQL, SQL Server, Oracle, AWS, Azure, Spark, Databricks, Snowflake, Airflow, Kafka, REST APIs, Docker, Kubernetes, Tableau, Microsoft Power BI
16h
Save
Mark Applied
Hide
ETL Data Engineer
Reston, Virginia, United States
$91k-$142k/yr OnsiteFull Time
Noblis
Noblis: Nonprofit science, technology, and strategy firm supporting government missions.
3+ YOEActive TS/SCI clearance with polygraph and U.S. citizenship required. Requires ETL, Python, SQL, data warehousing, dashboards, cloud, containerization, Git, and API development experience; degree/experience combinations accepted.
Python, Apache NiFi, Pentaho, Kafka, SQL, Tableau, Power BI, GCP, AWS, Docker, Kubernetes, Git, GitHub, API, Hadoop, Spark, Elasticsearch, Shodan, Censys.IO
16h
Save
Mark Applied
Hide
Data Engineer, Mid
Washington, District of Columbia, United States
$78k-$176k/yr OnsiteFull Time
Booz Allen Hamilton
Booz Allen HamiltonNYSE: BAH: Consulting and technology services for government and commercial clients
2+ YOERequires Python and R, data retrieval and analysis through APIs, databases, or SQL, LLM and Generative AI experience, TS/SCI clearance with polygraph, and a bachelor's degree with 3+ years of data engineering or 7+ years in lieu.
Python, R, SQL, Large Language Models (LLMs), Generative AI (GenAI), APIs, databases, artificial intelligence, machine learning
1d
Save
Mark Applied
Hide
Data Engineer / Python & SQL Developer
Washington or Dayton
RemoteFull Time
Graham Technologies
Graham Technologies: Provides secure IT services and modernization solutions.
5+ YOEAdvanced Python and SQL expertise with hands-on ETL, AWS, database design, data modeling, troubleshooting, testing, code review, documentation, and Agile delivery experience.
Python, SQL, AWS Lambda, AWS Glue, Amazon S3, Jira
1d
Save
Mark Applied
Hide
Data Engineer, Mid
Washington, District of Columbia, United States
$78k-$176k/yr OnsiteFull Time
Booz Allen Hamilton
Booz Allen HamiltonNYSE: BAH: Provides technology and management consulting services to diverse organizations.
2+ YOERequires Python or R, Python, R, or SQL data analysis, LLMs and GenAI, AI/ML data preparation, TS/SCI clearance with polygraph, and a bachelor's degree plus 3 years' experience or 7 years without a degree.
Python, R, SQL, Large Language Models (LLMs), Generative AI (GenAI), ETL, AI, ML, IoT