1054 Data Engineer Consultant jobs in Dallas,TX

Data Engineer - Production Support

Gartner

Irving, TX 75039

New, Posted 16 hours ago

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Call Center Travel Consultant

Aaa Texas Llc

Coppell, TX 75019

~ 31 min Onsite

A high school diploma is required
You need to be able to pass a comprehensive criminal background check and thorough urine sample drug screening
You must be available to work most Saturdays and some evenings to support goal achievement
You are computer savvy with the ability to navigate between multiple systems and web browsers, Microsoft Office, and can type at least 30WPM
You have a strong and very comfortable relationship with paperwork, and you are very organized!

SmartExplore AI is experimental.

New, Posted 19 hours ago

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Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

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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Inside Sales Consultant (Central Region)

Southern Glazer's Wine & Spirits

Addison, TX 75001

$22/hr

~ 19 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

High School Diploma or GED required
Must be at least 21 years of age
Physical demands with activity or condition for a considerable amount of time may include sitting and typing/keyboarding using a computer (e.g., keyboard, mouse, and monitor) or mobile device
Physical demands with activity or condition may include walking, bending, reaching, standing, squatting, and stooping
May require lifting/lowering, pushing, carrying, or pulling up to 48lbs

SmartExplore AI is experimental.

New, Posted 1 day ago

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Business to Business Sales

Spectrum

Coppell, TX 75019

~ 31 min Onsite

Valid and active State driver's license with safe driving record
High school diploma or general education degree required (GED)
Experience in a consultative sales role
Read, write, speak and understand English
Working knowledge of computer networking, LAN and WAN technologies, high-capacity and fiber-connected networks
Proven networking, negotiation and closing abilities
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future

SmartExplore AI is experimental.

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Water Resources Engineer Technical Lead

obrien engineering

Dallas, TX 75248

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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Digital Solution Consultant Senior Analyst

NTT DATA Services, LLC

Plano, TX 75086

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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 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.