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Databricks Data Engineer Jobs in McKinney, TX (NOW HIRING)

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/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 ...

Plugins Inc

Data Engineer

Dallas, TX · On-site

$104K - $125K/yr

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

Plugins Inc

Data Engineer

Dallas, TX

$104K - $125K/yr

This role focuses on validating batch and streaming data workflows built on AWS, Kafka, Databricks, SQL, and Python. You will work closely with data engineering, platform, and analytics teams to ...

Pwc

Data Engineer - Senior Manager

Dallas, TX · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Ascentt

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean, efficient ... Proficiency in SQL and Python programming * Practical experience with PySpark and distributed data ...

Humana

Data Engineer

Frisco, TX · On-site +1

$107K - $128K/yr

Working knowledge of Azure cloud services , such as Databricks, Storage Accounts, and Azure DevOps. Proficiency in SQL and experience with Python or another programming language used for data ...

New

Conch Technologies Inc

AI Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

AI Data Engineer Location: Frisco, TX or Louisville, KY (Hybrid) Duration: 12+ Months Note : Only ... Databricks * Snowflake * Experience designing scalable ETL/ELT pipelines. * Strong SQL and Python ...

Ascentt

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Required : • 2-5 years of experience in Data Engineering or related roles • Strong hands-on experience with Databricks and/or Snowflake • Proficiency in SQL and Python programming • Practical ...

IBM

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

SnowProCore, Databricks Data Engineer Associate, Google Associate CloudEngineer or Data Engineer coursework * General skills: GenAI literacy - prompt engineering, RAG, fine-tuning, and evaluation of ...

Prophecy Technologies

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

The engineer will implement and manage real-time and batch data ingestion solutions using Qlik ... Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF), Databricks ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in McKinney, TX

Databricks Data Engineer information

See McKinney, TX salary details

$41.3K

$120.4K

$164.7K

How much do databricks data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for databricks data engineer in McKinney, TX is $120,382.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $127,600.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a Databricks data engineer do?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive as a Databricks data engineer?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

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

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

What are popular job titles related to Databricks Data Engineer jobs in McKinney, TX?

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

What job categories do people searching Databricks Data Engineer jobs in McKinney, TX look for?

The top searched job categories for Databricks Data Engineer jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Databricks Data Engineer jobs?

Cities near McKinney, TX with the most Databricks Data Engineer job openings:

Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in McKinney, TX as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $120,382 per year, or $57.9 per hour.

Azure Databricks Engineer

Dallas, TX

CEDENT
IT Services • 11 - 50 employees
Learn more about CEDENTexternal

$59.25 - $77.25/hr

Full-time

Re-posted 13 days ago

Job description

Key Responsibilities:
  • Azure Databricks Architecture & Design:
    • Design, build, and optimize scalable, high-performance data pipelines and data lakes using Azure Databricks.
    • Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage).
    • Lead the design of cloud-based architectures using Azure Databricks for data processing, transformation, and reporting.
  • Data Engineering & Integration:
    • Design and implement ETL/ELT processes to ingest, process, and transform data across various sources (structured and unstructured).
    • Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and develop data solutions.
    • Manage data integration workflows between Databricks and other platforms like Power BI, Azure SQL, Synapse, etc.
  • Optimization & Performance Tuning:
    • Identify performance bottlenecks in Databricks environments and optimize clusters, queries, and code.
    • Continuously improve and scale data pipelines to accommodate growing data volumes and business needs.
  • Collaboration & Leadership:
    • Mentor and guide junior engineers and team members in best practices related to Azure Databricks and data engineering.
    • Work closely with cross-functional teams (data science, analytics, business intelligence) to deliver integrated solutions.
    • Provide technical leadership in cloud data architecture and data engineering.
  • Monitoring & Security:
    • Implement monitoring and alerting systems to ensure data pipelines and workflows are running smoothly.
    • Ensure compliance with data security and governance standards across the data ecosystem.
  • Continuous Improvement & Innovation:
    • Stay up to date with the latest advancements in Azure Databricks, cloud technologies, and data engineering trends.
    • Continuously evaluate and introduce new technologies and methodologies to enhance the data platform.
Required Skills and Qualifications:

  • Experience:

    • Minimum 10 years of hands-on experience in data engineering and cloud-based data platforms.
    • At least 5 years of experience working with Azure Databricks, building data pipelines, and performing data engineering tasks.
    • Strong experience with Azure services such as Azure Data Lake, Azure Synapse Analytics, Azure Blob Storage, Azure SQL Database, etc.

  • Technical Skills:

    • Proficiency in Spark, PySpark, Scala, or SQL for large-scale data processing.
    • Expertise in Databricks notebooks, clusters, job scheduling, and libraries.
    • Deep understanding of cloud-native data engineering practices and architecture on Azure.
    • Familiarity with data modeling, data lakes, and data warehouse concepts.
    • Expertise in Azure services: Data Factory, Data Lake, Synapse Analytics, Event Hubs, Cosmos DB.

  • Data Pipeline and ETL/ELT Development:

    • Experience building and optimizing ETL/ELT workflows on Databricks.
    • Knowledge of data orchestration tools such as Azure Data Factory, Apache Airflow, or similar.

  • Big Data Technologies:

    • Proficiency in handling large-scale distributed data processing with tools like Apache Spark.
    • Experience with technologies such as Kafka, Delta Lake, and Databricks Runtime.
    • Strong understanding of Delta Lake and Lakehouse architecture.

  • Programming Languages:

    • Strong programming skills in Python, Scala, or Java.
    • Experience with SQL-based querying and optimizations.

  • Cloud & DevOps:

    • Strong understanding of Azure cloud services and architecture.
    • Familiarity with DevOps principles, CI/CD pipelines, and automation tools. Terraform required.
    • Knowledge of Git, Azure DevOps, or similar version control and deployment systems.

  • Collaboration & Leadership:

    • Excellent communication skills to work with both technical and non-technical stakeholders.
    • Proven track record of mentoring and leading teams of data engineers.
    • Experience managing complex projects and working with cross-functional teams.
Preferred Qualifications:

  • Certifications:

    • Microsoft Certified: Azure Data Engineer Associate or equivalent certification.
    • Databricks Certified Associate Developer for Apache Spark.

  • Education:

    • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
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About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008

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