1086 Data Automation Engineer jobs in Dallas,TX

Degree or equivalent and typically requires 7+ years of relevant experience.
Bachelor's or master's degree in Business, Finance, Economics, Information Systems, Computer Science, Data Analytics, or a related field
7+ years of experience in business analysis, analytics, or business intelligence, with at least 2 years in a leadership or mentorship role
Proficiency in SQL and hands-on experience building dashboards in Power BI, Tableau, or Looker
Hands-on experience writing production-quality Python code (scripting, ETL/ELT, API integration); experience with RPA-to-AI/automation migration is a plus
Experience delivering analytics solutions in a modern data environment (e.g., Snowflake, Databricks, or comparable cloud platforms)
Strong understanding of BI best practices, data modeling, and end-to-end analytics delivery from requirements through UAT and adoption
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future
The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days remote

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Automation Engineer

Amazon.com LLC - A03

Fort Worth, TX 76102

~ 44 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of Ladder Logic and structured programming from Siemens, Allen-Bradley, or Codesys PLCs experience

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New, Posted 8 hours 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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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

Urgently Hiring

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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.

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Automated Machine Operator

Ecolab

Garland, TX 75040

$26.02/hr

~ 26 min OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School diploma or GED
1 year of experience working in a manufacturing environment using the following equipment: filler, sleeve labeler, cappers, tape machine, bar coders, ink jet printer, hand wrenches, hand stamps, palletizers, lid presses
1 year of experience working with automated processes in a manufacturing environment
1 year working with Microsoft Office Programs (Word, Excel and Outlook)- tablets are used in this role
No immigration sponsorship available for this role
Position requires lifting/carrying up to 50 lbs

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