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Python Data Engineer Azure Bi Contract

Dallas,TX

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1248 Python Data Engineer Azure Bi Contract jobs in Dallas,TX

New, Posted 1 day ago
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Principal Engineer - Python API Development

Fidelity Investments

Hurst, TX 76054

~ 31 min OnsiteUrgently HiringEducation 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
  • 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.
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Software Engineer Mid-level (Java Full Stack)

USAA

Plano, TX 75023

Hybrid~ 27 minUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree or 4 additional years of experience beyond the minimum requirement can be used in lieu of a degree OR Approved certification from CodeUp, Galvanize, VetFIT (Veterans for IT) or eFIT (Employees for IT).
  • 4 years of software development experience demonstrating depth of technical understanding within a specific discipline(s)/technology(s).
  • 2 years of experience delivering technology solutions in all phases of the software systems and application development lifecycle to include leading code/design reviews.
  • Basic Understanding of one or more of the following: Java, Swift, Objective-C, Cobol, JavaScript, Kotlin, C++, HTML, CSS, SQL, Go, and Python
  • Developing level of business acumen in the areas of business operations, risk management, industry practices and emerging trends.
  • Experience supporting efforts to address production issues through troubleshooting applications and systems.
  • Experience articulating technical challenges and solutions.
  • Basic understanding of cloud technologies and tools.
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New, Posted 1 day ago
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Principal Engineer - Python API Development

Fidelity Investments

Colleyville, TX 76034

~ 38 min OnsiteUrgently HiringEducation 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
  • 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.
SmartExplore AI is experimental.
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New, Posted 18 hours ago
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Senior Engineer, IT Data

American Airlines

Fort Worth, TX 76101

RemoteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
  • 3+ years experience building data solutions, using agile and DevOps practices
  • 3 years experience using SQL, Python and Spark
  • 3 years experience with Cloud technologies (especially Microsoft Azure)
  • Expertise with a Cloud based technology stack for data management, ingestion, curation and consumption layers.
SmartExplore AI is experimental.
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New, Posted 1 day ago
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DiversityJobs
Lead Software Engineer (Python, LLM) - AskGartner

Gartner

Irving, TX 75039

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Director Data Engineering

McKesson

Irving, TX 75039

~ 22 min Onsite

  • 12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
  • Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
  • Advanced proficiency with Databricks platform and advanced analytics workflows
  • Extensive experience with BI development, administration, and enterprise deployment
  • Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
  • Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure
  • Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
  • Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
  • Experience in regulated industries (healthcare, financial services, manufacturing)
  • Master's. Degree in Computer Science, Engineering or equivalent.
SmartExplore AI is experimental.
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New, Posted 1 day ago
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DiversityJobs
Senior Software Engineer (Python, ETL) - Master Data Management (MDM)

Gartner

Irving, TX 75039

New, Posted 13 hours ago
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Sr Manager, Data & Analytics Platform

McKesson

Irving, TX 75061

RemoteUrgently Hiring

  • Senior Manager, Data & Analytics Platform
  • Leading a team that provides operational support, administration, and engineering services for enterprise data and analytics platforms
  • Day-to-day platform operations, service reliability, and team execution
  • Hands-on experience supporting and administering data and analytics platforms, with specific experience in Databricks, BI tools, and cloud-based data environments
  • Experience working in cloud environments (Azure preferred)
  • Typically 9+ years of professional experience and 2+ years of management experience
  • Current, unrestricted authorization to work in the United States on a permanent basis
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New, Posted 17 hours ago
Information Technology Data Analyst Lead - Health Outcomes

CHRISTUS Health

Irving, TX 75039

Urgently Hiring
New, Posted 9 hours ago
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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 3+ years of experience designing, developing, and implementing large-scale solutions in production environments
  • Proficiency with the following technologies:
  • Programming Languages: Java, Javascript/Typescript
  • Frameworks: Spring/SpringBoot, FastAPI
  • Front End Technologies: Angular/React
  • Deployment Technologies: Kubernetes, Docker
  • Source Control: GitHub, Azure DevOps
  • CICD: GitHub Actions, Azure DevOps
  • Data management: PostgreSQL, MongoDB, Redis
  • Integration/APIs Technologies: Kafka, REST, GraphQL
  • Cloud Providers such as Azure and AWS
  • Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
  • Design and implement robust automation solutions using modern languages (Java, Python, C#, JavaScript/TypeScript) and frameworks such as Selenium, Playwright, TestNG, JUnit, and Cucumber
  • Build and maintain scalable test automation frameworks and integrate them seamlessly with CI/CD pipelines using GitHub Actions and Azure DevOps
  • Develop and execute API and integration tests leveraging technologies like REST, GraphQL, Kafka, SOAPUI, Postman, and service virtualization tools (WireMock, Mockito, Moq)
  • Perform performance and load testing using tools such as JMeter while ensuring system reliability, scalability, and resiliency
  • Manage automated test lifecycle including test design, execution, scheduling, maintenance, and detailed analysis of test results and logs using tools like Quality Center
  • Collaborate with cross-functional teams to gather requirements, validate designs, and ensure adherence to SDLC, Agile (Scrum), and DevOps best practices
  • Validate complex, distributed systems across cloud platforms (Azure, AWS) and containerized environments (Docker, Kubernetes)
  • Apply strong knowledge of data validation and backend testing using PostgreSQL, MongoDB, Redis, and ensure data integrity across systems
  • Optimize system quality and test strategy by applying quality engineering principles, metrics, and continuous improvement practices
  • Demonstrate strong communication, analytical, and organizational skills while managing multiple priorities, adapting to change, and driving high-quality deliverables across teams
SmartExplore AI is experimental.
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