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Data Engineer Engineering

Denton,TX

1057 Data Engineer Engineering jobs in Denton,TX

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Trane Technologies Logo

Trane Technologies - Fort Worth, TX

Data Center/Chiller Technician
~ 40 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
New, Posted 17 hours ago
Logic Design Engineer

Paragon Energy Solutions

Fort Worth, TX 76110

New, Posted 4 hours ago
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Software Developer Engineer in Test

Southern Scripts

Dallas, TX 75209

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Staff Databricks Platform Engineer

Southern Glazer's Wine&Spirits

Dallas, TX 75254

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related field, or an equivalent combination of education and work experience.
  • Typically 8+ years in data engineering, platform engineering, or cloud infrastructure, including 3+ years hands-on with Databricks in a production enterprise environment.
  • Demonstrated ownership of a shared data platform used by multiple engineering or analytics teams — not solely project-based pipeline delivery.
  • Deep working knowledge of Unity Catalog, Delta Lake internals, Apache Spark performance tuning, and Databricks Workflows.
  • Strong Python and SQL, with production experience in infrastructure as code (Terraform preferred) and CI/CD automation.
  • Hands-on cloud experience in AWS or Azure covering identity, networking, storage, and key management.
  • Proven experience managing platform cost and capacity at enterprise scale.
  • Strong verbal, written, and facilitation skills, with the ability to communicate technical trade-offs to engineering teams, business stakeholders, and executive leadership.
  • Strong experience in DevOps and Agile technology environments.
  • Proven ability to lead cross-functional technical initiatives and mentor other engineers.
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Staff Databricks Platform Engineer

Southern Glazer's Wine & Spirits

Dallas, TX 75254

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, or a related field, or an equivalent combination of education and work experience.
  • Typically 8+ years in data engineering, platform engineering, or cloud infrastructure, including 3+ years hands-on with Databricks in a production enterprise environment.
  • Demonstrated ownership of a shared data platform used by multiple engineering or analytics teams — not solely project-based pipeline delivery.
  • Deep working knowledge of Unity Catalog, Delta Lake internals, Apache Spark performance tuning, and Databricks Workflows.
  • Strong Python and SQL, with production experience in infrastructure as code (Terraform preferred) and CI/CD automation.
  • Hands-on cloud experience in AWS or Azure covering identity, networking, storage, and key management.
  • Proven experience managing platform cost and capacity at enterprise scale.
  • Strong verbal, written, and facilitation skills, with the ability to communicate technical trade-offs to engineering teams, business stakeholders, and executive leadership.
  • Strong experience in DevOps and Agile technology environments.
  • Proven ability to lead cross-functional technical initiatives and mentor other engineers.
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Licensed Professional Engineer, Electrical System Operations

UT Southwestern

Dallas, TX 75390

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Manufacturing Engineering Technician

NATURAL GAS FUEL SYSTEMS LLC

Roanoke, TX 76262

New, Posted 5 hours ago
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Microsoft 365 Azure Engineer

TEKsystems

Carrollton, TX 75006

$125,000-$140,000/yr
~ 27 min Onsite

  • 5+ years of hands-on Microsoft 365 and Azure/Entra engineering experience in a multi-site or enterprise environment
  • Microsoft Graph API proficiency: proven experience building and maintaining Graph API integrations for identity, provisioning, and automation. This is a hard requirement, not a nice-to-have.
  • PowerShell automation: advanced scripting for M365, Entra ID, Exchange Online, and Intune administration. This is a hard requirement, not a nice-to-have.
  • Demonstrated experience with tenant-to-tenant, Google Workspace, and IMAP or legacy email platform migrations to M365
  • Deep working knowledge of Entra ID, conditional access, Intune, Exchange Online, and SharePoint Online administration
  • Proven ability to walk into an unfamiliar tenant and reverse-engineer it: auditing existing configurations, mapping dependencies, and producing documentation where none exists. Candidates should expect to demonstrate this skill in the interview process.
  • Strong documentation discipline with work samples or examples available on request
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Oracle Database PL/SQL Developer, Assistant Vice President

Citi

Irving, TX 75061

New, Posted 1 day ago
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Senior Business Intelligence & Automation Analyst

McKesson

Irving, TX 75039

Hybrid~ 36 min

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent experience
  • 7+ years of experience as a BI Engineer, Data Analyst, Analytics Engineer, Data Engineer, or a related occupation delivering BI, analytics, and reporting solutions
  • Expert SQL
  • Data modeling and design
  • BI and visualization: advanced Power BI and Tableau
  • ETL/ELT and pipelines: hands-on experience programming to extract, transform, and clean large datasets, and building scheduled, monitored pipelines in tools such as Databricks, Microsoft Fabric, Azure Data Factory, or Snowflake
  • Scripting for automation: proficiency in Python or a similar language for data transformation and automation
  • Workflow automation: Power Automate, Power Apps, or comparable low-code tooling for reporting workflows
  • AI-enabled analytics (differentiator): applying LLM and GenAI capabilities to BI: automated narrative generation, conversational analytics, and agent-ready semantic layers
  • Executive tooling: advanced Excel and PowerPoint for analysis and executive storytelling
  • Demonstrated ability to establish business logic and metric definitions that turn raw data into trusted, consumable reporting
  • Experience communicating and presenting analytical results to senior leadership
  • Strong analytical skills with the ability to translate data into actionable insights
  • Demonstrated organizational and prioritization abilities
  • Ability to navigate ambiguity and deliver independently in a fast-paced transformation environment
  • Working knowledge of core finance concepts (ROI, forecasting, variance-to-plan, business-case and P&L; mechanics) and direct experience partnering with a finance or FP&A; team to translate financial methodology into data logic
  • Demonstrated ability to operate as the sole technical IC on a team, without a dedicated BI or data engineering organization to lean on for support, review, or troubleshooting
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Principal R&D Engineer

Keurig Dr Pepper

Frisco, TX 75033

~ 35 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Chemical Engineering, Food Engineering, Mechanical Engineering, or a related technical discipline; advanced degree preferred.
  • Minimum 10+ years of relevant experience in R&D; process engineering, food/beverage processing, technical commercialization, manufacturing engineering, or related CPG technical roles.
  • Must-have experience with juice, dairy, and complex beverage formulation commercialization, including scale-up from bench or pilot through plant production.
  • Demonstrated hands-on knowledge of aseptic processing and other thermal process platforms used for beverage and food commercialization.
  • Strong understanding of beverage processing operations including batching, blending, thermal processing, filling, packaging interfaces, sanitation/CIP, process capability, and plant startup.
  • Experience leading plant trials, validation activities, process troubleshooting, technical risk assessments, and commercialization readiness evaluations.
  • Demonstrated capability using DOE, statistical analysis, data-driven problem solving, and structured technical decision-making.
  • Working knowledge or strong interest in applying data science, AI tools, predictive analytics, process modeling, plant historian data, or digital systems to improve R&D; and manufacturing outcomes.
  • Proven ability to manage ambiguity and complex problems by creating solution paths that reflect sustainable, functional, and technically feasible options.
  • Excellent presentation, communication, influencing, and stakeholder management skills, including the ability to translate technical findings into clear tradeoffs and business implications.
  • Strong understanding of the interdependencies between product, process, package, quality, manufacturing, and supply chain requirements.
  • Self-motivated, collaborative, resilient, and able to manage multiple priorities in a fast-moving, changing business environment.
  • Travel included in this role (25%).
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