ZipRecruiter

Log In

1

Adobe Data Engineer Jobs (NOW HIRING)

GM Financial

Data Engineer-Adobe Exp Platform

Irving, TX · On-site

$106K - $127K/yr

Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation Qualifications What makes You an ideal candidate? * Experience with Adobe solutions ...

Bounteous

$84K - $101K/yr

Bounteous is seeking a CDP Engineer specializing in Adobe Real-Time CDP ( RTCDP ) and Adobe Experience Platform (AEP) to support data ingestion, identity resolution, and profile creation for a large ...

Bounteous

CDP Data Engineer

$117K - $140K/yr

Bounteous is seeking a CDP Engineer specializing in Adobe Real-Time CDP (RTCDP) and Adobe Experience Platform (AEP) to support data ingestion, identity resolution, and profile creation for our client ...

Purple Drive Technologies LLC

AEM Architect

Malvern, PA · On-site

$198K/yr

Adobe Experience Cloud integrations experience with Adobe Data Collection - Tags, WebSDK, MobileSDK ... CI/CD pipeline design and DevOps best practices. Experience with Adobe I/O and event-driven ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Python, AWS (S3, Redshift, Aurora, Athena, Glue), Github, Bitbucket, Bamboo, Agile, Growth mindset, Quick learner, Adobe, Kore * Data Engineer: Nice to have: DPX blueprint process, Dremio, Dell Boomi ...

Purple Drive

AEM Architect

Malvern, PA · On-site

$198K/yr

Adobe Experience Cloud integrations experience with Adobe Data Collection - Tags, WebSDK, MobileSDK ... CI/CD pipeline design and DevOps best practices. * Experience with Adobe I/O and event-driven ...

GM Financial

Data Engineer-Adobe Exp Platform

Irving, TX · Hybrid

$109K - $132K/yr

Experience with Adobe solutions (ideally Adobe Experience Platform, XDM, RTCDP DTM/Launch) and REST ... Work with data engineering related groups to inform on and showcase capabilities of emerging ...

Adobe

Data Science Engineer

Seattle, WA · On-site

$130K - $156K/yr

The Challenge In Adobe finance, we strive to introduce thefinanceof the future! We seek a data ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsSoftware JobsSoftware Developer JobsAdobe Data Engineer Jobs

Adobe Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do adobe data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for adobe 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 states have the most Adobe Data Engineer jobs?

States with the most job openings for Adobe Data Engineer jobs include:

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

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

Infographic showing various Adobe Data Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer-Adobe Exp Platform

Irving, TX • On-site

GM Financial
Finance and Insurance • 5 - 10K employees
Learn more about GM Financialexternal

$106K - $127K/yr

Full-time

Retirement

Re-posted 19 days ago

GM Financial rating

8.2

Company rating: 8.2 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

Job description


Why GMF Technology?
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
We are unable to provide visa sponsorship either now or in the future for this position.
This position will be posted until filled.
Responsibilities
About the role
We are expanding our efforts into complimentary data technologies for decision support in areas of ingesting and processing large data sets including data commonly referred to as semi-structured or unstructured data. Our interests are in enabling data science and search-based applications on large and low latent data sets in both a batch and streaming context for processing. To that end, this role will engage with team counterparts in exploring and deploying technologies for creating data sets using a combination of batch and streaming transformation processes. These data sets support both off-line and in-line machine learning training and model execution. Other data sets support search engine-based analytics. Exploration and deployment of technologies activities include identifying opportunities that impact business strategy, collaborating on the selection of data solutions software, and contributing to the identification of hardware requirements based on business requirements. Responsibility also includes coding, testing, and documentation of new or modified scalable analytic data systems including automation for deployment and monitoring. This role participates along with team counterparts to develop solutions in an end-to-end framework on a group of core data technologies.
In this role you will:
  • Contribute to the evaluation, research, experimentation efforts with batch and streaming data engineering technologies in a lab to keep pace with industry innovation
  • Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques
  • Contribute to the definition and refinement of processes and procedures for the data engineering practice
  • Work closely with data scientists, data architects, ETL developers, other IT counterparts, and business partners to identify, capture, collect and format data from the external sources, internal systems, and the data warehouse to extract features of interest
  • Code, test, deploy, monitor, document and troubleshoot data engineering processing and associated automation

Qualifications
What makes You an ideal candidate?
  • Experience with Adobe solutions (ideally Adobe Experience Platform, XDM, RTCDP DTM/Launch) and REST APIs
  • Digital technology solutions (DMPs, CDPs, Tag Management Platforms, Cross-Device Tracking, SDKs, etc.) Knowledge of Real Time-CDP and Journey Analytics solution
  • SQL experience: querying data and sharing what insights can be derived
  • Working knowledge of Agile development /SAFe, Scrum and Application Lifecycle Management.
  • Experience with ingesting various source data formats such as JSON, Parquet, SequenceFile, Cloud Databases, MQ, Relational Databases such as Oracle.
  • Experience with Cloud technologies (such as Azure, AWS, GCP) and native toolsets.
  • Understanding of cloud computing technologies, business drivers and emerging computing trends.
  • Thorough understanding of Hybrid Cloud Computing: virtualization technologies, Infrastructure as a Service, Platform as a Service and Software as a Service Cloud delivery models and the current competitive landscape.
  • Working knowledge of Object Storage technologies to include but not limited to Data Lake Storage Gen2, S3, Minio, Ceph, ADLS etc.
  • Strong background with source control management systems; Build Systems (Maven, Gradle, Webpack); Code Quality (Sonar); Artifact Repository Managers (Artifactory), Continuous Integration/ Continuous Deployment (Azure DevOps).
  • Experience with processing large data sets using Hadoop, HDFS, Spark, Kafka, Flume or similar distributed systems.
  • Experience with NoSQL data stores such as CosmosDB, MongoDB, Cassandra, Redis, Riak or other technologies that embed NoSQL with search such as MarkLogic or Lily Enterprise.
  • Creating and maintaining ETL processes
  • Knowledgeable of best practices in information technology governance and privacy compliance
  • Troubleshoot complex problems and work across teams to meet commitments.
  • Excellent computer skills and proficiency in digital data collection.
  • Ability to work in an Agile/Scrum team environment
  • Strong interpersonal, verbal, and writing skills.
  • Understanding of big data platforms and architectures, data stream processing pipeline/platform, data lake and data lake houses
  • Understanding of cloud solutions such as Google Cloud Platform, Microsoft Azure & Amazon AWS cloud architecture & services
  • Understanding of GDPR, privacy & security topics
  • Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python

Education & Work Experience
  • High School Diploma or equivalent required
  • Bachelor's Degree in related field or equivalent experience required
  • 2-4 years of hands-on experience with data engineering required

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

AI Skills Preferred:
  • Experience with AI assisted software development or automation
  • Knowledge of prompting techniques to improve output quality
  • Awareness of emerging GenAI capabilities and limitations

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Flexible hybrid work environment, 2-days a week in our Las Colinas/Irving, TX office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
#LI-Hybrid
#LI-MH1
#GmfJobs
#GMFJobs #LI-Hybrid #LI-MH1

What GM Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply