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Internship Azure Data Engineer Jobs in Texas (NOW HIRING)

talentmovers inc

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Lead/ Senior Azure Data Engineer Location : Dallas, TX Rate : On C2C Job Summary: The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and ...

Tror AI for everyone

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Engineer Job Location: Fort Worth, TX (100% Onsite) Job Duration: Long Term Note: Final Round will be in person. Note: Need 12+ years of experience resumes. Key Responsibilities: * Design ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The Azure Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines utilizing modern cloud technologies, with a strong focus on Microsoft Azure. This role ...

talentmovers inc

Azure Data Engineer in Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

We are Hiring for Azure Data Engineer (Senior) in Dallas, TX Location : Dallas, TX Onsite Only [No Remote Option] Title : Azure Data Engineer (Senior) Need 12 years experience Azure Data Engineer ...

Cognowiz

Senior Azure Data Engineer

Addison, TX · On-site

$118K - $156K/yr

Addison, Texas (Need Locals) Sr. Data Engineer Contract to Hire Onsite (Tuesday - Thurs) - Remote on Monday & Friday Skill set: Sr. Data Engineer, MS Fabric, Azure Data Factory, Azure Synapse ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities * Perform ETL, ELT operations and administration using modern ...

ACCLiiVE

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Engr Location : Houston Duration : Long term contract Job Overview : Design and Build the integration jobs that move data from existing SoR applications into and throughout the Microsoft ...

Net Orbit

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card settlement system ( CCSS) to support P66 retail gas stations. CCSS is an app is on prem and we are moving ...

Sogeti

Senior Azure Data Engineer

Addison, TX · On-site

$102K - $139K/yr

Required Skills 5+ years of hands-on data engineering experience in the Microsoft Azure ecosystem. Strong SQL and data modeling fundamentals. Production experience with Azure Data Factory, Azure ...

Perficientcorp Inc

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Fujitsu Managing Technical Consultant The Azure Data Lake Engineer is responsible for designing, building, and maintaining scalable data ingestion, storage, and processing solutions on Microsoft ...

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure Data/Ops Architect Location: Dallas TX or San Francisco CA Role/Responsibilities We are ... This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX

$54.50 - $67.50/hr

... using Azure Databricks for data processing, transformation, and reporting Data Engineering ... Collaborate with data scientists, analysts, and other stakeholders to understand business ...

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All JobsAzure Data Engineer JobsInternship Azure Data Engineer JobsInternship Azure Data Engineer Jobs in Texas

Internship Azure Data Engineer information

What kinds of projects and technologies can I expect to work with during an Azure Data Engineer internship?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What does an Internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What is the difference between Internship Azure Data Engineer vs Data Analyst Intern?

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an Internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.
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Internship Azure Data Engineer jobs near you

Azure Data Engineer

talentmovers inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Re-posted 6 days ago

Job description

Title : Lead/ Senior Azure Data Engineer 

Location : Dallas, TX

Rate :  On C2C

Job Summary:

The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions are scalable, reliable, and secure.

Job Description:

Job Responsibilities

·       Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

·       Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.

·       Responsible for creating an ETL pipeline with Azure Ecosystem like Azure Data Bricks, Azure Data Factory.

·       Build simple to complex pipelines, activities, Datasets & data flows

·       Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement transformation logic and stage transformed data.

·       Design data ingestion into data modelling services to create cross domain data models for end user consumption.

·       Implement ETL, related jobs to curate, transform and aggregate data to create source models for end user analytics use cases.

·       Scheduling automation and monitoring instrumentation for data movement jobs.

·       Working experience with Azure monitor and Azure log Analytics.

·       Background work on legacy data warehouses and Big Data will be plus.

·       Should have fair knowledge of the consumption layer (BI) and the business processes.

·       Implement/Support Azure DBaaS infrastructure and services

·       Experience working in Agile/Scrum/Kanban team environments

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       9-12 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level