742 Data Engineer Etl Developer jobs in Dallas,TX

Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr

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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Based in the Dallas, TX area
Bachelor's degree in Business, Marketing, Engineering, or a related field; equivalent work experience will be considered.
Minimum of 5 years of experience in business development, strategic account management, enterprise sales, or major project sales.
Proven experience selling into or working with the data center, mission-critical, construction, engineering, or industrial infrastructure markets.
Demonstrated success developing new business, building strategic relationships, and managing complex sales opportunities.
Strong understanding of account planning, solution selling, and project-based business development.
Experience engaging multiple stakeholders across owner, consultant, contractor, and technical audiences.
Excellent communication, negotiation, presentation, and relationship management skills.
Ability to travel up to 75% across the Americas.

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Business Intelligence Data Engineer

Golden State Foods

Frisco, TX 75034

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 33 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

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IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

~ 22 min Onsite

Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
Security model understanding and maintenance
Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
Experience in data integration with ETL techniques and frameworks
Experience in Big Data querying tools, such as Hive, Impala and Spark SQL

SmartExplore AI is experimental.

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Principal Engineer - Python API Development

Fidelity Investments

Flower Mound, TX 75027

~ 37 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

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Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

Hybrid~ 22 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's Degree (Graduate a plus) in a quantitative discipline, such as Engineering, Statistics, Economics, Data Analytics or Computer Science.
2+ years of experience in a data driven analytics environment; consumer lending preferred; Master's or PHD degrees may offset experience. 4+ years required
Advanced analytical skillset using tools such as SQL, SAS, Excel skills required; experience with multiple types of relational databases and/or querying languages is a plus such as R, Hive Python, Oracle, Unix are desired
Innovative and capable of developing a highly analytical approach to solving problems
Experience driving projects and presenting to senior management on results and ideas
Capability and willingness to learn new areas within the OneMain business and take on diverse projects

SmartExplore AI is experimental.

New, Posted 1 day ago

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Specialist, Electrical Engineer

L3Harris Technologies

Plano, TX 75023

~ 27 min OnsiteBilingual Preferred

Bachelor's Degree and minimum 4 years of prior relevant experience
Graduate Degree and a minimum of 2 years of prior related experience
In lieu of a degree, minimum of 8 years of prior related experience
Must be able to travel to and from flight line and work in aircraft hangar environments
Some positions will require the ability to board/exit aircraft
Ability to obtain and maintain a DoD security clearance which require U.S. Citizenship
Security clearances may only be granted to U.S. citizens

SmartExplore AI is experimental.

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Director of Transformation Program

MV Transportation

Dallas, TX 75204

Onsite

20+ years' experience in project/program management managing large complex programs.
Extensive knowledge of transformation/change management.
Minimum five (5) years of demonstrable Client and Relationship Management (internal and/or external) and P&L; management.
Experience managing, coaching, and/or mentoring resources.
Experience managing teams in a matrix organization.
Able to travel up to 75% of the time.
Where permissible under applicable state and local law, applicants may be subject to a pre-employment drug test and background check after receiving a conditional offer of employment.

SmartExplore AI is experimental.

New, Posted 19 hours ago

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