954 Advanced Analytics Data Engineer jobs in Dallas,TX

Hybrid~ 22 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

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

New, Posted 8 hours ago

DiversityJobs

Manager, Data Analytics

Gartner

Irving, TX 75039

New, Posted 1 day ago

Sr Manager, Data Analytics

McKesson

Irving, TX 75039

Hybrid~ 22 min

Degree or equivalent experience
Typically requires 9+ years of professional experience
1+ years of supervisory and/or management experience
9+ years of experience in data analytics, business intelligence, or performance analytics
5+ years of people leadership experience
Strong experience translating business questions into analytical insights
Experience leading development of dashboards and performance reporting
Proficiency with analytics tools such as Tableau, Power BI, or similar platforms
Strong stakeholder management and communication skills
Ability to simplify complex data into clear business insights

New, Posted 1 day ago

RemoteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Actuarial Analyst II (Intermediate) – Forecasting Analytics

USAA

Plano, TX 75023

Paid Relocation to Plano, TX

Bachelor's degree
2 years of actuarial or analytical business experience
3 Casualty Actuarial Society (CAS) exams
Intermediate knowledge of data analysis tools, data visualization, developing analysis queries and procedures in Python, R, SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect technical insights to business problems

New, Posted 1 day ago

Lead Analytics & Automation Engineer

McKesson

Irving, TX 75039

Hybrid~ 22 min

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

Hybrid~ 22 minFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

ResumeLibrary

Manager, Credit Strategy for Auto Finance Analytics

OneMain Financial

Irving, TX 75062

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

New, Posted 8 hours ago

DiversityJobs

Data Engineer - Production Support

Gartner

Irving, TX 75039

~ 44 min OnsiteHealth InsuranceRetirement Benefit

Analyst/Sr Analyst, Contact Center - Analytics

American Airlines

Fort Worth, TX 76101

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, Business Analytics or related technical discipline; or equivalent experience/training
3 years related work experience
2 years of experience with data extraction, manipulation and analysis from relational databases
Experience with data extraction tools and methods (SQL, SAS, Access, etc.)
Experience using internal data warehouse's (e.g. Mosaic) for data extraction, analysis, and reporting

~ 28 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

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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~ 38 min OnsiteHealth InsuranceRetirement Benefit

Senior Manufacturing Engineer

Klein Tools

Mansfield, TX 76063

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