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444 Automation Data Integration Engineer jobs in Dallas,TX

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Principal Data Engineer

Keurig Dr Pepper

Frisco, TX 75033

~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Expert in SQL, SnowSql coding, ETL, and data warehousing.
Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
10+ years in data management, including integration, modeling, and optimization.
Hands-on experience with Analytics tools and platforms like Snowflake or Informatica Cloud.

SmartExplore AI is experimental.

New, Posted 5 hours ago

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Mech Colo Regional Engineer , Colocation Region Engineering- AMER

Amazon Data Services

Dallas, TX 75201

Health InsurancePaid Time OffRetirement Benefit

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Data Management JOB Training Opportunity

Year Up United

Dallas, TX 75215

$525/wk

Onsite

You may be required to answer additional screening questions when applying
Have not obtained a Bachelorʼs degree
Eligible to work in the U. S.
A high school graduate or GED recipient

SmartExplore AI is experimental.

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Integration Manager

Forward Air, Inc.

Coppell, TX 75019

~ 31 min Onsite

Strong oral and written communication skills.
Strong understanding of Supply Chain Logistics business.
5+ years of management experience in managing multiple projects and meeting delivery timelines.
5 + years of experience working in Logistics EDI and API integrations.
Must be able to occasionally travel to multiple office locations.
Strong situational analysis and decision-making abilities.
Strong understanding of data security.

SmartExplore AI is experimental.

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Manufacturing Engineer

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible SchedulePaid Time Off

Must be a US Citizen
This position requires a government security clearance, you must be a US Citizen for consideration.
MUST BE A U.S. CITIZEN
Must be able to obtain and maintain a secret clearance
Bachelor's degree or equivalent experience
2+ years in a manufacturing role
Experience troubleshooting complex problems and improving processes

SmartExplore AI is experimental.

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Technical Program Manager - Logistics Domain - Onsite

NTT DATA

Dallas, TX 75215

Onsite

Bachelor's or master's in Computer's Science Applications or equivalent work experience
8+ Years Manhattan WMOS Warehouse Management System (WMS)
8+ years relevant experience in Logistics, Supply Chain and Retail experience
10+ years of Project/ Program management experience
5+ years IBM Sterling Order Management System (OMS)

SmartExplore AI is experimental.

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Assembler - Hiring Now

cpi industries

Irving, TX 75038

~ 22 min OnsiteRetirement Benefit

High school diploma or GED.
Willingness to assist assembly team with other duties as required.
Must be able to read blueprints and interpret complicated specifications.
Must have problem solving abilities.
Must have extensive understanding of complex mechanical assembly, cable assembly and module assembly.
Must be capable of multi-tasking various duties throughout the day, have a positive attitude with an ability to be versatile and flexible.
Possess good communication and interpersonal skills; be able to independently solve problems while interacting with various teams and teammates on daily processes and flow.
Must be a U.S. Citizen
Continuous mental and visual attention is necessary to perform various duties requiring constant alertness and activity.
Understand and operate various hand and power tools involved in assembly and cable making.
Typically requires 1+ years wiring experience

SmartExplore AI is experimental.

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Risk Modeling & Data Governance Associate

Santander Holdings USA

Dallas, TX 75201

Onsite

Hands-on experience with Retrieval-Augmented Generation (RAG) systems, including document ingestion, chunking strategies, embeddings, retrieval techniques, orchestration frameworks, and response grounding.
Generative AI expertise, including evaluation of LLM architectures, design decisions, implementation approaches, and associated risks such as hallucinations, bias, and toxicity.
High attention to detail and a strong commitment to quality, accuracy, and governance standards.
Strong Python proficiency for data manipulation, validation, automation of controls, and development of reproducible, well-documented scripts using version control.
Effective written and verbal communication skills, particularly in documenting and explaining complex technical and governance topics.
Experience using Power BI to develop dashboards that visualize data quality metrics, trends, and validation outcomes.
Quantitative or analytical professional background in Finance, Economics, Statistics, Mathematics, Engineering, or a related discipline – Required.
The base pay range for this position is posted below and represents the annualized salary range.
Bachelor's Degree or equivalent work experience – Required.
SQL proficiency, including data extraction, joins, aggregation, reconciliation, and validation across multiple data sources.
Demonstrated ability to operate effectively within a controlled, regulated environment with strong documentation standards and a risk-and-controls mindset.
Collaborative mindset with the ability to partner effectively with technical teams and business stakeholders.
Knowledge of machine learning models, including development, validation, performance testing, and monitoring techniques.
Hands-on experience with AWS-native services such as Bedrock, Lambda, API Gateway, S3, IAM, CloudWatch, and MLOps or LLMOps capabilities.
Experience in the financial services industry with exposure to data management, risk modeling, and regulatory compliance (e.g., BCBS 239, SR 11-7) – Required.
Strong analytical and critical thinking skills with the ability to independently challenge model assumptions and conclusions.
Prior consulting, advisory, or second-line oversight experience within data governance, model validation, or risk analytics environments – Preferred.
7+ years of experience working with statistical models, developing, and/or validating machine learning or Generative AI solutions, including rigorous testing and documentation – Required.
Proven ability to communicate complex technical, data, and model risk concepts clearly to non-technical governance and risk stakeholders.

SmartExplore AI is experimental.

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Assembly - Technician

Safran

Grand Prairie, TX 75050

~ 28 min Onsite

ITAR Controlled Position: Select "Yes" if role requires U.S. citizenship/permanent residency
First experience
The employee is occasionally required to walk; sit and talk or hear.
The employee must regularly lift and /or move up to 10 pounds and occasionally lift and/or move up to 25 pounds.
The employee is frequently required to stand.
The selected candidate must be a U.S. person or must meet eligibility requirements for access to export-controlled information and hardware.
Minimum experience level required
While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel and reach with hands and arms.
Specific vision abilities required by this job include close vision, color vision and ability to adjust focus.
Basic Level - Microsoft Office: Outlook, Word, Excel.
The noise level in the work environment is usually quiet.
This position requires access to information and hardware subject to the International Traffic in Arms Regulations (ITAR) and/or the Export Administration Regulations (EAR).
Vocational/Trade School
While performing the duties of this Job, the employee is occasionally exposed to fumes or airborne particles and toxic or caustic chemicals.
Minimum education level achieved

SmartExplore AI is experimental.

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Optics Manufacturing Engineer - Richardson, TX

RTX

Richardson, TX 75081

~ 18 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Hands-on experience operating planetary and spindle polishing machines for optical fabrication.
Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) or equivalent, with a minimum of 2 years of relevant engineering experience.
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Relevant experience is providing engineering support in a precision optics manufacturing environment.
Work history in optical manufacturing processes, including grinding, pitch polishing, and/or pad polishing techniques.
Proficiency in measuring and evaluating optical components using optical interferometry.

SmartExplore AI is experimental.