Top 773 Data platform engineer Jobs in Fort Worth, Tx

Data Engineer-Adobe Exp Platform
GM Financial —Irving, TX
- Full-time
- Hybrid work
- Writing skills
- Research
- High school diploma or GED
- Tuition reimbursement
- 401(k) matching
12d
Systems Engineer (Data, Tools & Operations)
Lockheed Martin Corporation —Fort Worth, TX
- Full-time
- Mid-level
- Office
- SQL
- Paid jury duty
- Paid holidays
6d
Sr Data Engineer
Range Resources Corporation —Fort Worth, TX
- Full-time
- Hybrid work
- Bachelor of Science
- DevOps
- Office
- Flextime
AI Data Engineer Staff
Lockheed Martin Corporation —Fort Worth, TX
- Full-time
- 5 years
- Office
- Master's degree
- Paid jury duty
- Paid holidays
Android Software Engineer - AI Trainer
DataAnnotation —North Richland Hills, TX
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Software Engineer Analyst - AI Trainer
DataAnnotation —Westlake, TX
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Test Engineer
S&B Industry, Inc. —Fort Worth, TX
- $65,000 - $70,000 a year
- Full-time
- Software troubleshooting
- Mid-level
- Analysis skills
- Health insurance
- Dental insurance
Quick Apply
Principal Engineer - Python API Development
Fidelity Investments —Westlake, TX
- $107,000 - $216,000 a year
- Full-time
- Azure
- Computer Science
- System design
- Loan repayment program
- Tuition reimbursement
Lead Full Stack Software Engineer
Solera —Westlake, TX
- Full-time
- Computer science
- Azure
- 6 years
Quick Apply
Wireless Transport Engineer
The Judge Group —Irving, TX
- $55 - $65 an hour
- Full-time
- Remote
- 5 years
- Research
- Continuous improvement
Quick Apply
Machine Learning Engineer
MicroAI —Irving, TX
- 8 hour shift
- Computer Science
- Office
- Java
- Health insurance
- Dental insurance
Quick Apply
Quality Systems Engineer
Eaglerise Renewable Energy (USA) INC —Fort Worth, TX
- $90,000 - $100,000 a year
- Full-time
- Background check
- 5 years
- Engineering
- Health insurance
- Dental insurance
Quick Apply
Senior Data Platform Engineer Assistant Vice President
Citi —Irving, TX
- $107,120 - $160,680 a year
- Full-time
- 5 years
- System design
- Office
- Paid holidays
- Disability insurance
Software Developer - AI Trainer
DataAnnotation —Texas
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
Full Stack Developer - AI Trainer
DataAnnotation —Texas
- $50 - $100 an hour
- Part-time
- Remote
- Writing skills
- English
- Mid-level
- Flexible schedule
Quick Apply
SR. Data Engineer - Assistant Vice President
Citi —Irving, TX
- $107 a day
- Full-time
- Azure
- Management
- Computer Science
- Paid holidays
- Disability insurance
AVP Applications Development Sr Programmer Analyst
Citi —Irving, TX
- $107,120 - $160,680 a year
- Full-time
- 7 years
- Azure
- Office
- Paid holidays
- Disability insurance
Account Executive — K-12 EdTech (Full-Cycle Closer) (TX,OK,AR,LA,MO,KS,CO,IA)
Blocksi, Inc —Texas
- $65,000 - $180,000 a year
- Full-time
- Remote
- Mid-level
- Travel
- US work authorization
- Health savings account
- Health insurance
Quick Apply
Platform Engineer Team Lead
Leidos —Texas
- $131,300 - $237,350 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
Senior AI Cloud Infrastructure Engineer
Newrez —Coppell, TX
- Overtime
- 5 years
- English
- Office
- Paid parental leave
- Health savings account
Quick Apply
6d

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data platform engineer jobs near fort worth, tx

Data Engineer-Adobe Exp Platform

GM Financial -
Irving, TX

Apply Now

Job Details

Full-time
12 days ago

Benefits

Tuition reimbursement
401(k) matching

Qualifications

High school diploma or GED

Full 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.

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

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

Apply Now

Refine Your Search

data platform engineer jobs in fort worth, tx

Data Engineer-Adobe Exp Platform

Systems Engineer (Data, Tools & Operations)

Sr Data Engineer

AI Data Engineer Staff

Android Software Engineer - AI Trainer

Software Engineer Analyst - AI Trainer

Test Engineer

Principal Engineer - Python API Development

Lead Full Stack Software Engineer

Wireless Transport Engineer

Machine Learning Engineer

Quality Systems Engineer

Senior Data Platform Engineer Assistant Vice President

Software Developer - AI Trainer

Full Stack Developer - AI Trainer

SR. Data Engineer - Assistant Vice President

AVP Applications Development Sr Programmer Analyst

Account Executive — K-12 EdTech (Full-Cycle Closer) (TX,OK,AR,LA,MO,KS,CO,IA)

Platform Engineer Team Lead

Senior AI Cloud Infrastructure Engineer

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