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Data Engineer Education

Fort Worth,TX

817 Data Engineer Education jobs in Fort Worth,TX

New, Posted 23 hours ago
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Entry Level Sales

Spectrum

Fort Worth, TX 76126

$100,000/yr
OnsiteUrgently Hiring

  • A valid driver's license, car insurance, a satisfactory driving record, and the use of a reliable personal vehicle
  • High School Diploma or equivalent work experience
  • Ability to read, write, speak and understand English language
  • Ability to travel (including during inclement weather) to and from assigned territories and company facilities
  • Must be able to work evenings and weekends, and as business needs dictate to maximize prospective customer contact
  • Ability to work independently with little or no supervision
  • Spend approximately 90% of time outdoors in all seasons, with potential exposure to inclement weather
  • Exposure to moderate noise levels
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Senior Manufacturing Engineer

Klein Tools

Mansfield, TX 76063

~ 22 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor of Science Degree in Mechanical, Electrical, or Industrial Engineering (appropriate for the assigned area) and five (5) year experience
  • Must possess basic knowledge of tooling design methods and machine tool programming
  • Ability to use Microsoft Office and CAD software
  • Ability to communicate effectively both orally and written
  • Ability to communicate and work as a team member
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New, Posted 23 hours ago
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Field Risk Specialist

Datascan Technologies, LLC

Dallas, TX 75201

~ 43 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Candidates must be located in**Dallas, Texas**
  • High School diploma or GED required, college preferred
  • Two years or more of applicable experience in: floorplan auditing, banking/financial services, automotive, customer service, field services or related industry.
  • Valid driver's license with the ability to travel overnight (3 to 5 nights average of overnight travel monthly)
  • Basic computer literacy required
  • Occasional travel outside of local territory may be required from time-to-time
  • Lifting and moving boxes may be required from time-to-time
  • Verify in stock inventory by inspecting the VIN/serial number for each floorplanned inventory unit.
  • Meet with authorized dealership personnel to identify the disposition of missing inventory units.
  • Review and verify the authenticity of dealer records and other documentation associated with sold, missing and damaged inventory units.
  • Verify the status of MSOs and titles.
  • Record status information for each inventory unit in the Ai mobile audit application.
  • Record information about dealer visit.
  • Review audit results with dealer personnel.
  • Communicate with client representatives about audit results, dealer conditions, and risk potential.
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Water Resources Engineer Technical Lead

obrien engineering

Dallas, TX 75248

~ 43 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 12+ years of experience
  • BS in Civil Engineering
  • Professional Registration: Texas PE or ability to obtain Texas registration within 12 months
  • Hydrologic, hydraulic, hydrodynamic and 2D modeling
  • ArcGIS and related tools
  • Experience with master flood studies, master drainage studies, comprehensive watershed studies, bank stabilization, storm drainage remediation, hydraulic analysis of bridges, culverts, channels, flumes, energy dissipation analysis; dam break analysis a plus
  • Minimum three days a week in-office
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Analyst, IT Digital Experimentation

American Airlines

Fort Worth, TX 76101

Onsite

  • Bachelor's degree in Statistics, Applied Math, Computer Science, Economics, Engineering, or related field
  • Proficiency in Python, R or other relevant modern programming languages
  • Experience with digital experimentation and causal inference
  • Experience with SQL
  • Core technical skills, including experience with SAS preferred
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Principal Engineer - Python API Development

Fidelity Investments

Fort Worth, TX 76102

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.
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New, Posted 1 day ago
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Sr. Data Engineer

McKesson

Irving, TX 75039

$141,336-$184,400/yr
Remote

  • Bachelor's Degree in Computer Science or related field of study
  • Five (5) years of experience in the job offered or a related occupation
  • Experience in data engineering with Databricks and AWS
  • Experience with Apache Spark, SQL, and Python or Scala
  • Experience with Delta Lake, Unity Catalog, and cloud data warehouses (e.g., Redshift)
  • Experience with data modeling, ETL/ELT processes, and data governance
  • Experience with orchestration tools including Gitlab or Bitbucket and CI/CD practices
  • Experience in collaborating with cross-functional teams to deliver data solutions using Python and Databricks in Agile environments
  • Experience with design and optimizing scalable data pipelines with Python and Spark in Databricks
  • Experience with developing modular, reusable components in Databricks notebooks and workflows
  • Experience in implementing data validation frameworks to ensure pipeline accuracy and consistency
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Supply / Material Planner

Celestica

Fort Worth, TX 76101

Onsite

  • Bachelor's degree in related field (Business or Engineering), or consideration of an equivalent combination of education and experience
  • Two to four years relevant experience
  • Good knowledge of an electronic manufacturing environment, the product build process, the types of materials being purchased by the department and the engineering change process
  • Good knowledge of inventory management, production planning, scheduling, material requirements planning and manufacturing control systems
  • Knowledge of computer applications and the ability to accurately perform tasks in relevant business applications
  • Good analytical and statistical skills
  • Good negotiation and problem resolution skills
  • Ability to handle multiple tasks while maintaining attention to detail and accuracy and working under tight time deadlines
  • Ability to evaluate, prioritize and problem solve a variety of tasks to ensure their timely and accurate completion
  • Ability to communicate effectively, both verbally and in writing, with a wide variety of internal and external customers
  • Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data
  • Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required
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Quality Inspector

Leonardo DRS

Dallas, TX 75243

~ 43 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or GED
  • In-depth knowledge of relevant manufacturing standards (such as J-Std-001/IPC-A-610) or common mechanical techniques (such as geometric dimensioning and tolerance practices)
  • Ability to use various measurement devices (calipers, pin gauges, go/no-go gauges, etc) to verify mechanical part compliance
  • Experience reading mechanical drawings and able to verify parts dimensions against drawing requirements
  • Ability to effectively interpret data and present as information and respond to questions from engineers and other technical staff
  • U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.
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HVAC Controls Systems Engineer

Johnson Controls

Irving, TX 75061

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering and minimum 3 years' experience
  • Demonstrated knowledge of the construction or HVAC industry.
  • Demonstrated knowledge of control theory, automatic temperature controls, building automation systems and other building subsystems.
  • Experience with JCI software programming
  • Demonstrated experience in the integration of low voltage building sub-systems using various industry protocols (i.e., LON, BACnet, etc.).
  • Ability to relate technical knowledge to a non-technical audience.
  • Demonstrated advanced computer skills required, particularly computer-related drafting tools.
  • Ability to travel regularly.
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