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Senior Data Engineer Python Jobs in Richmond, VA

Sr. Staff Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

You will be both visionary, influential, and hands-on writing Python, SQL, Java, and/or Scala code. Our Sr. Staff Data Engineers are: * Deep technical experts and thought leaders that help accelerate ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases ...

Sr. Data Analytics Engineer

Richmond, VA · On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Sr. Data Analytics Engineer

Richmond, VA · On-site

$113K - $136K/yr

Sr. Data Analytics Engineer Sr. Data Analytics Engineer Values & Innovation At Under Armour, we are ... Python and Java programming. * Fundamental data architecture and design. * SQL and strong data ...

Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Design, build, and maintain scalable data pipelines using Python or shell/bash scripting ... Apply best practices in cloud data engineering, including security and compliance standards.

Showing results 21-40

Senior Data Engineer Python information

See Richmond, VA salary details

$80.2K

$125K

$173.2K

How much do senior data engineer python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for senior data engineer python in Richmond, VA is $125,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $142,500.00 per year, depending on experience, location, and employer.

What does a senior data engineer python do?

A Senior Data Engineer Python is responsible for designing, building, and maintaining complex data pipelines and architectures using Python as a primary programming language. They work with large datasets, ensuring data is collected, stored, and processed efficiently to support analytics and business intelligence. Their role often includes optimizing data workflows, collaborating with data scientists, and implementing data quality and security best practices. Senior Data Engineers also mentor junior team members and may help define data engineering strategies for their organization.

What are the key skills and qualifications needed to thrive as a senior data engineer python?

To thrive as a Senior Data Engineer Python, you need deep expertise in Python programming, data modeling, and ETL pipeline design, often supported by a degree in computer science or a related field. Familiarity with big data frameworks (such as Spark or Hadoop), cloud platforms (like AWS, GCP, or Azure), and relevant certifications are highly valued. Strong problem-solving, communication, and leadership skills enable effective collaboration and project delivery in cross-functional teams. These competencies are crucial for building robust, scalable data solutions that drive business insights and operational efficiency.

How does a senior data engineer python typically collaborate with data scientists and other engineering teams?

A Senior Data Engineer working with Python often plays a central role in bridging the gap between data science and engineering teams. They design and maintain robust data pipelines that ensure clean, reliable data is available for analytics and machine learning projects. Collaboration involves frequent communication with data scientists to understand data requirements and with software engineers to integrate data solutions into production systems. This multidisciplinary teamwork helps streamline project workflows and drives the development of scalable data solutions across the organization.

What is the difference between Senior Data Engineer Python vs Data Engineer Python?

AspectSenior Data Engineer PythonData Engineer Python
Required Experience5+ years, leadership skills1-3 years, foundational skills
ResponsibilitiesDesigning architecture, mentoring, complex data pipelinesBuilding data pipelines, data collection, basic ETL tasks
CertificationsRelevant certifications (e.g., AWS, GCP)Entry-level certifications preferred
Work EnvironmentCross-functional teams, project leadershipData teams, development environment

Senior Data Engineer Python roles typically require more experience, leadership, and complex project responsibilities compared to Data Engineer Python roles, which focus on building and maintaining data pipelines with less emphasis on leadership.

What are the most commonly searched types of Data Engineer Python jobs in Richmond, VA?

The most popular types of Data Engineer Python jobs in Richmond, VA are:

What are popular job titles related to Senior Data Engineer Python jobs in Richmond, VA?

For Senior Data Engineer Python jobs in Richmond, VA, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Python jobs in Richmond, VA look for?

The top searched job categories for Senior Data Engineer Python jobs in Richmond, VA are:

What cities near Richmond, VA are hiring for Senior Data Engineer Python jobs?

Cities near Richmond, VA with the most Senior Data Engineer Python job openings:

Infographic showing various Senior Data Engineer Python job openings in Richmond, VA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $125,018 per year, or $60.1 per hour.

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)

Richmond, VA • On-site

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

$113K - $136K/yr

Full-time

Re-posted 13 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz


Job description

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)

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 data, data modeling, data quality, governance and permissible use, and building data pipelines 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.

The Marketing and Messaging team is responsible for delivering hyper-personalized messages and experiences that will delight the customer, attract prospects and drive increasing business value. The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels.

What You'll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions using data movement tools and technologies

  • As a lead developer, work with a team of developers who have deep experience in data movement, distributed computing, and full-stack systems

  • Utilize programming languages like Python, SQL, and Open Source RDBMS and NoSQL databases and cloud-based data warehousing services such as Snowflake and Databricks

  • Optimize information systems for end-users and downstream application consumers by using sound data design practices

  • 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:

  • Master's Degree

  • 7+ years of experience in application development including Python, SQL, Spark, ETL tools, or AWS Glue

  • 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, 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

  • 4+ years of experience with data modeling for data warehousing

  • 2+ years of experience with Agile engineering practices

  • Experience leveraging interactive AI tooling (Claude Code, GitHub Copilot) to accelerate software delivery

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any 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


New York, NY: $215,200 - $245,600 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 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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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).


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