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Entry Level Databricks Data Engineer Jobs in Frisco, TX

Avanade

Associate Manager, Data Engineering

Irving, TX · On-site

Fabric, Databricks, Synapse, Data Factory, Azure Data Lake Storage (Gen 2), Cosmos DB • Understanding of software engineering tools and concepts including experience in Python, Scala, or PySpark ...

Armaninollp

Data & AI Platform Engineer

Dallas, TX

$113K - $136K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

GM Financial

Data Engineer-Adobe Exp Platform

Irving, TX · Hybrid

$109K - $132K/yr

Strong in the use of Microsoft Office software, data querying platforms (Databricks is a plus) and statistical programming tools such as Python Education & Work Experience * High School Diploma or ...

Kyndryl

Database Engineer/Administrator/Analyst

Dallas, TX · On-site

$73K - $139K/yr

As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and ... data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc Experience ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value ... This role will provide technical solution to multiple engineering and operation teams, develop ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value ... This role will provide technical solution to multiple engineering and operation teams, develop ...

Tiger Analytics Inc.

Databricks Admin

Dallas, TX · On-site +1

Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value ... This role will provide technical solution to multiple engineering and operation teams, develop ...

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... Databricks). * Vector Expertise: Hands-on experience with at least one major Vector Database and ...

Photon

Data Lead- Dallas, TX

Dallas, TX

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... Databricks). * Vector Expertise: Hands-on experience with at least one major Vector Database and ...

Epiroc

Analytics Engineer

Garland, TX · On-site

Required : • Strong expertise in SQL, including complex queries, performance tuning, and data optimization • Proven experience with Python and Databricks for data engineering, transformation, and ...

Promantus, Inc

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

Strong Python, Databricks, and PySpark experience with Spark, Kafka, Snowflake, MongoDB, PostgreSQL ... Advanced No-SQL (MongoDB) and SQL (Postgres) and data modeling for slowly changing dimensions ...

MAQ Software

Software Data Operations Engineer

Plano, TX · On-site

$107K - $128K/yr

Engineering culture At MAQ Software, we foster a strong engineering culture with a can-do attitude ... Our team leveraged Azure Databricks for advanced data transformation, Azure Front Door for global ...

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All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Frisco, TX

Entry Level Databricks Data Engineer information

See Frisco, TX salary details

$28.1K

$64.9K

$110.4K

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

As of Aug 21, 2026, the average yearly pay for entry level databricks data engineer in Frisco, TX is $64,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,200.00 and $73,500.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What are the most commonly searched types of Databricks Data Engineer jobs in Frisco, TX?

The most popular types of Databricks Data Engineer jobs in Frisco, TX are:

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For Entry Level Databricks Data Engineer jobs in Frisco, TX, the most frequently searched job titles are:

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The top searched job categories for Entry Level Databricks Data Engineer jobs in Frisco, TX are:

What cities near Frisco, TX are hiring for Entry Level Databricks Data Engineer jobs?

Cities near Frisco, TX with the most Entry Level Databricks Data Engineer job openings:

Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Frisco, TX as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $64,918 per year, or $31.2 per hour.

Pyspark Developer

Tata Consultancy Service Limited

Irving, TX • On-site

$100K - $130K/yr

Full-time

Re-posted 11 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

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