ZipRecruiter

Log In

2

Entry Level Databricks Data Engineer Jobs in Dallas, TX

Tata Consultancy Service Limited

Engineer

Dallas, TX · On-site

$70K - $80K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... g., Databricks, Synapse), or Google Cloud Platform (GCP). • Data Warehousing & Storage ...

Tata Consultancy Service Limited

Data Engineer

Irving, TX · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills • SQL Server, Azure SQL, T-SQL • Python (data processing) • ETL / ELT pipeline development • Databricks, Apache Spark, PySpark • Data modeling ...

Tata Consultancy Service Limited

Developer

Irving, TX · On-site

$100K - $130K/yr

Data Engineer We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in ... g., Databricks, Synapse), or Google Cloud Platform (GCP). • Data Warehousing & Storage ...

Bakertilly

Associate Data Engineer

Frisco, TX

$85K - $162K/yr

Data Engineering: Develop scalable, welldocumented ETL/ELT pipelines using TSQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement bestpractice patterns for performance ...

US Bank

Senior Data Engineer

Irving, TX · On-site

$101K - $138K/yr

We're looking for a Senior Data Engineer to design, build, and support scalable data engineering ... Experience with Databricks and/or Snowflake * Familiarity with Kafka, Spark, CDC frameworks, or ...

Baker Tilly

Associate Data Engineer

Frisco, TX · On-site

$85K - $162K/yr

Data Engineering: Develop scalable, well-documented ETL/ELT pipelines using T-SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best-practice patterns for performance ...

Merican

Lead I - Software Engineering

Frisco, TX · On-site

The Associate Data Engineer is an early-career engineer learning the full HR Analytics data ... Exposure to cloud data platforms - Databricks, Snowflake, or comparable - with a willingness to ...

Tixy Services LLC

Data Solution Engineer

Dallas, TX · On-site

Data Platform & Databricks Administration, Azure Cloud & DevOps Engineering, or Advanced Python Application Development . This role requires an individual who is passionate about building scalable ...

Texas Instruments

Senior Software Developer

Richardson, TX · On-site

$49.50 - $65.50/hr

About the Job As a Data Engineer on the Smart Manufacturing and Automation team, you will design ... Databricks experience (Delta Live Tables, Unity Catalog) About Us Why TI? * Engineer your future.

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 ...

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 ...

previous page

Showing results 41-60

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

Entry Level Databricks Data Engineer information

See Dallas, TX salary details

$29.7K

$68.6K

$116.7K

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

As of Jul 26, 2026, the average yearly pay for entry level databricks data engineer in Dallas, TX is $68,615.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $77,700.00 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, and why are they important?

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 Dallas, TX? The most popular types of Databricks Data Engineer jobs in Dallas, TX are:
What are popular job titles related to Entry Level Databricks Data Engineer jobs in Dallas, TX? For Entry Level Databricks Data Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Databricks Data Engineer jobs in Dallas, TX look for? The top searched job categories for Entry Level Databricks Data Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Entry Level Databricks Data Engineer jobs? Cities near Dallas, 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 Dallas, TX as of June 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 33% Hybrid, and 34% Remote job distribution, with an average salary of $68,615 per year, or $33 per hour.

Engineer

Tata Consultancy Service Limited

Dallas, TX • On-site

$70K - $80K/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: $70,000 to $80,000 per year

Apply