ZipRecruiter

Log In

1

Adtech Data Engineer Jobs (NOW HIRING)

Sovrn

Staff Engineer (AdTech)

Boulder, CO · On-site

As a Staff Engineer you will be part of our AdTech team as the 'go-to' with the capabilities of ... A solid foundation in data structures, algorithms and system design * Knowledge of web and internet ...

Capital One National Association

$84K - $101K/yr

Lead Data Engineer (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) Do you love ... The team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech ...

Walmart

(USA) Principal, Data Engineer

Mountain View, CA · On-site

$143K - $286K/yr

Global AdTech and MarTech builds the data and decisioning platforms powering advertising across ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

Walmart

(USA) Principal, Data Engineer

Hayward, CA · On-site

$143K - $286K/yr

Global AdTech and MarTech builds the data and decisioning platforms powering advertising across ... Data engineering, database engineering, business intelligence, or business analytics, ETL tools and ...

previous page

Showing results 41-60

All JobsTechnology JobsData JobsAdtech Data Engineer Jobs

Adtech Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do adtech data engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for adtech data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an adtech data engineer?

Adtech Data Engineers are professionals who design, build, and maintain the data infrastructure used in advertising technology platforms. They work with large volumes of data from various sources like ad servers, demand-side platforms, and user analytics tools, ensuring the data is efficiently collected, processed, and made accessible for analysis and reporting. Their work supports programmatic advertising, audience segmentation, campaign optimization, and ad targeting by providing reliable data pipelines and scalable storage solutions.

How does an adtech data engineer typically collaborate with data scientists and product teams?

Adtech Data Engineers frequently work alongside data scientists and product teams to design, implement, and optimize data pipelines that support advertising analytics and targeting. They are responsible for ensuring data quality, scalability, and accessibility, often translating business requirements into robust technical solutions. Regular communication and agile teamwork are essential, as engineers must adapt pipelines based on evolving campaign goals, new data sources, and feedback from analytics stakeholders. This collaborative environment helps drive innovation and ensures that data-driven decisions are both accurate and actionable.

What are the key skills and qualifications needed to thrive as an adtech data engineer, and why are they important?

To thrive as an Adtech Data Engineer, you need strong expertise in data modeling, ETL processes, and programming languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with adtech platforms, big data tools such as Hadoop or Spark, and cloud services like AWS or GCP is typically required. Advanced problem-solving abilities, attention to detail, and effective communication are important soft skills for this role. These skills ensure the reliable processing and analysis of large advertising datasets, enabling data-driven decision-making in a rapidly evolving digital advertising landscape.

What is the difference between Adtech Data Engineer vs Data Analyst?

AspectAdtech Data EngineerData Analyst
Required SkillsSQL, Python, ETL, Big Data toolsSQL, Excel, Data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsReporting, data interpretation, dashboards
Industry UsageAdvertising technology companies, digital marketingMarketing teams, business intelligence

The Adtech Data Engineer focuses on building and maintaining data infrastructure and pipelines within advertising technology environments. In contrast, Data Analysts interpret data to generate insights and reports. While both roles require strong SQL skills, the Data Engineer emphasizes data engineering and system architecture, whereas the Data Analyst concentrates on data analysis and visualization.

What are popular job titles related to Adtech Data Engineer jobs?

For Adtech Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Adtech Data Engineer job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 57% In-person, 29% Hybrid, and 14% Remote job distribution, with an average salary of $129,716 per year, or $62.4 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
Learn more about Capital Oneexternal

$113K - $136K/yr

Full-time

Re-posted 10 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 the 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).

What Capital One employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply