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Entry Level Azure Data Engineer Jobs in Frisco, TX

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer * 2-3 years of hands-on experience in Data Engineering * Strong experience in ... Experience with Azure or AWS cloud platforms * Understanding of data partitioning, performance ...

DevOps Engineer

Irving, TX · On-site

$50.75 - $69.50/hr

Azure Data Engineer Associate (DP-203) or Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) are highly valued * Experience with Docker and container orchestration (Azure Kubernetes Service ...

Senior Software Engineer

Irving, TX · On-site

$116K - $153K/yr

Develop Azure Data Factory pipelines using Linked Services and Datasets to extract, transform and ... Engineer Azure Functions in C# to enable serverless computing for implementing business logic, with ...

... Azure Data Factory to enhance data engineering capabilities - Applying data architecture ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Experience with cloud platforms (AWS / Azure / GCP) * Knowledge of Big Data technologies (Spark ...

... Azure Data Factory to enhance data engineering capabilities - Applying data architecture ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or ... Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... Azure Fundamentals, Data Engineer Associate) or working toward them. • Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations. Company : UST is a Digital ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Azure AI Engineer Associate), or DP-100 (Microsoft Certified: Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications a plus * Experience with GitHub or Azure DevOps * Prior ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... certifications (Azure Fundamentals, Data Engineer Associate) or working toward them. • ... Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations. Company

Engineer II, Data

Dallas, TX · On-site

$113K - $136K/yr

Data engineers also need to guarantee compliance with data governance and data security ... Azure Event Hubs * Apache Kafka / Confluent Kafka * Amazon Kinesis * Practical experience with CI ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Proficient in using Microsoft Azure or other cloud data platform * Profiecient in Data engineering * Proficient in Python, JavaScript and SQL preferred * Experience developing apps and environments ...

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Role: Sr. PySpark Data Engineer - Fulltime Location: Irving, TX We are seeking a skilled PySpark ... Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP). * Utilize SQL and NoSQL ...

Showing results 21-40

Entry Level Azure Data Engineer information

See Frisco, TX salary details

$41.6K

$121.4K

$166.1K

How much do entry level azure data engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level azure data engineer in Frisco, TX is $121,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $128,700.00 per year, depending on experience, location, and employer.

What is an entry level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

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

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.
What are the most commonly searched types of Azure Data Engineer jobs in Frisco, TX? The most popular types of Azure Data Engineer jobs in Frisco, TX are:
What are popular job titles related to Entry Level Azure Data Engineer jobs in Frisco, TX? For Entry Level Azure Data Engineer jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Azure Data Engineer jobs in Frisco, TX look for? The top searched job categories for Entry Level Azure Data Engineer jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Entry Level Azure Data Engineer jobs? Cities near Frisco, TX with the most Entry Level Azure Data Engineer job openings:
Infographic showing various Entry Level Azure Data Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,406 per year, or $58.4 per hour.

$100K - $130K/yr

Full-time

Posted 28 days ago


Job description

Roles & Responsibilities
Job Title: Data Engineer
Job Description:
We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position requires expertise in processing massive datasets using cutting-edge technologies like Apache Spark, PySpark, and Hive within a dynamic cloud environment. Your primary objective will be to ensure the utmost data reliability, speed, and efficiency, providing a robust foundation for downstream business intelligence and advanced analytics initiatives.
Roles & Responsibilities:
• Data Pipeline Development & Maintenance: Design, build, and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL for complex data transformations.
• Cloud Data Infrastructure Management: Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services (AWS) (e.g., EMR, Glue), Microsoft Azure (e.g., Databricks, Synapse), or Google Cloud Platform (GCP).
• Data Warehousing & Storage Optimization: Strategically manage data layout, partitioning, and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility.
• Performance Tuning & Optimization: Proactively identify and resolve performance bottlenecks in Spark jobs, leveraging Spark UI for in-depth analysis, effectively managing data skewness, and optimizing memory utilization.
• Diverse Data Integration: Develop robust solutions for ingesting high-volume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem.
• Automated Workflow Orchestration: Implement and manage automated data workflows using industry-standard scheduling tools like Apache Airflow or platform-native schedulers, ensuring timely and reliable data delivery.
• Strategic Collaboration: Partner closely with data scientists, business analysts, and cross-functional enterprise teams to translate complex business requirements into technically sound and efficient data solutions.
Qualifications:
• Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark architecture, including a deep understanding of drivers, executors, and Directed Acyclic Graphs (DAGs).
• Advanced Programming: Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic.
• Querying & Schema Management: Strong command of HiveQL and ANSI SQL, coupled with expertise in data partitioning techniques and effective schema definition.
• Optimized Storage Formats: In-depth understanding and practical experience with optimized big data storage file formats such as Parquet, ORC, and Avro.
• Cloud Ecosystem Development: Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure Databricks) with in major cloud platforms.
• Data Warehousing Fundamentals: Solid foundation in Dimensional Data Modeling, including Star and Snowflake schemas, and practical experience with Data Lakes concepts and implementation.
Preferred Qualifications
• CI/CD & DevOps Automation: Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and automation tools like Git, Jenkins, or Ansible.
• NoSQL Database Integration: Exposure to and experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
• Professional Cloud Certifications: Relevant professional cloud certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly valued
Salary Range: $100,000 to $130,000 per year