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Databricks Engineer Jobs in High Point, NC (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Greensboro, NC

$77K - $202K/yr

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ...

Pwc

Data Engineer - Manager

Greensboro, NC

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

SynergisticIT

Data Engineer (Entry Level)

Greensboro, NC · On-site

$99K - $118K/yr

NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack/software positions bachelors degree or masters degree in computer science, computer engineering ...

Pwc

Data Engineer - Senior Associate

Greensboro, NC

$77K - $202K/yr

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

Labcorp

Lead Java Engineer

Burlington, NC · Hybrid

Labcorp is seeking a Lead Java Engineer for a team in Durham, NC. Overview Corporate IT isseekinga ... Databricks) for large-scale enterprise solutions. * 2 or more years' experience of developing ...

Pwc

Data Engineer - Senior Manager

Greensboro, NC

$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 ...

Pwc

Data Engineer - Manager

Greensboro, NC

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

1 point system

Business Data Analyst

Greensboro, NC · On-site

Databricks * Power BI * Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in High Point, NC

Databricks Engineer information

See High Point, NC salary details

$53.1K

$99.6K

$181.1K

How much do databricks engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for databricks engineer in High Point, NC is $99,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,800.00 and $118,200.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks Engineer, and why are they important?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What are popular job titles related to Databricks Engineer jobs in High Point, NC? For Databricks Engineer jobs in High Point, NC, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in High Point, NC look for? The top searched job categories for Databricks Engineer jobs in High Point, NC are:
What cities near High Point, NC are hiring for Databricks Engineer jobs? Cities near High Point, NC with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in High Point, NC as of June 2026, with employment types broken down into 40% Full Time, 20% Part Time, and 40% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $99,596 per year, or $47.9 per hour.
Azure Cloud Data Engineer

Azure Cloud Data Engineer

Software Technology Inc

Winston Salem, NC • On-site

$50.75 - $63/hr

Other

Posted 6 days ago

Job description

Job Title

Required:

  • Strong verbal and written communication skills to effectively articulate messages to internal and external teams.
  • Hands on experience with Azure data platform stack (Azure Databricks, Azure Data Factory, Azure Data Lake storage, Azure DevOps, Azure Functions)
  • Experience with dimensional modeling and data warehousing concepts
  • Experience with designing, building, optimizing, troubleshooting end-to-end big data pipelines using structured (relational and files) and semi-structured data
  • Experience with building metadata driven data processing frameworks
  • Strong experience in Spark, SQL, python, Pyspark, shell scripting.
  • Ability to work in an agile team.
  • Ability to take ownership of a request from initial requirements, design, development and production deployment

Nice to have:

  • Powershell, scala, java
  • Apache Airflow
  • Azure EventHubs
  • Apace Kafka
  • Streaming data
  • CosmosDB/NoSQL Database

Required Skills: Azure, Windows PowerShell, Python, SQL Basic Qualification: Requirements: Hands on experience with Azure data platform stack (Azure Databricks, Azure Data Factory, Azure Data Lake storage, Azure DevOps) Experience with designing, building and productionizing big data pipelines Strong experience in SQL, python, pyspark, shell scripting is required. Must have worked with processing and optimizing multi-billion record tables and tables with 100's gigs in size Ability to build pipelines to process structured and semi-structured data. Ability to work with in an agile team Ability to take ownership of a feature request from initial requirements, design, development and production deployment Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Additional preferred but not required: Powershell, scala, java Apache Airflow Azure EventHubs Streaming data Object Oriented Programming Required: Experience working with SQL, python, pyspark, shell scripting Understands concepts of dimensional data modeling and experience with loading a dimensional data warehouse Ability to work with in an agile team Experience with writing unit tests and packaging code Ability to take ownership of a feature request from initial requirements, design, development and production deployment Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Ability to build pipelines to process structured and semi-structured data. Ability to translate mapping/SQL logic from specifications to pyspark deployable code Ability to troubleshoot issues and provide solution recommendations Experience with designing, building and productionizing big data pipelines

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