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Data Engineer Data Bricks Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Data Engineer location : Princeton, NJ Minimum Mandatory Skills ... ADF, Data Bricks Desired Skills: Python, PySpark Key Responsibilities: * Design and implement ETL ...

GIRIKON, INC

Data Bricks Engineer/ Technical Lead

Dallas, TX · On-site

$101K - $133K/yr

Girikon is looking at hiring a full-time " Data Bricks Engineer/ Technical Lead " with following Consultant will join our team only after the successful completion of Background check, Reference ...

S3 Staffing USA

Databricks Data Engineer

Dallas, TX · Remote

$113K - $136K/yr

Data Bricks Data Engineer Location: Seattle, WA / Bellevue, WA / Everett, WA / Renton, WA / Richardson, TX / Plano, TX / Dallas, TX / St. Louis, MO / Charleston, SC / Arlington, VA/Onsite Duration ...

GIRIKON, INC

Data Bricks Engineer/ Technical Lead

Dallas, TX · On-site

$101K - $133K/yr

Girikon is looking at hiring a full-time " Data Bricks Engineer/ Technical Lead " with following Consultant will join our team only after the successful completion of Background check, Reference ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... Data Bricks and/or Microsoft Fabric Data Factory. • Implement medallion architecture (Bronze ... Platform Engineering & DevOps • Implement CI/CD for data pipelines using Azure DevOps (YAML ...

GIRIKON, INC

Data Bricks Engineer/ Technical Lead

Dallas, TX · On-site +1

$101K - $133K/yr

Vision insurance Girikon is looking at hiring a full-time Data Bricks Engineer/ Technical Lead with following Consultant will join our team only after the successful completion of Background check ...

Vergence

ETL/Data Engineer

Indianapolis, IN

$107K - $129K/yr

... Data Bricks and/or Microsoft Fabric Data Factory. • Implement medallion architecture (Bronze ... Platform Engineering & DevOps • Implement CI/CD for data pipelines using Azure DevOps (YAML ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

... Data Bricks and/or Microsoft Fabric Data Factory. * Implement medallion architecture (Bronze ... Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

... Data Bricks and/or Microsoft Fabric Data Factory. * Implement medallion architecture (Bronze ... Platform Engineering & DevOps * Implement CI/CD for data pipelines using Azure DevOps (YAML ...

ACI Infotech

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

Azure Data bricks (ADF) * Power BI Experience or BI tool experience * Optimize data storage and access strategies for performance and cost-efficiency. * Ensure data quality, integrity, and security ...

ARMADA

Data Engineer

Wexford, PA

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Data Bricks, etc. * Solid understanding of machine learning models, tools, libraries, and ...

ARMADA

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Data Bricks, etc. * Solid understanding of machine learning models, tools, libraries, and ...

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All JobsData Engineer Data Bricks Jobs

Data Engineer Data Bricks information

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$44.5K

$129.7K

$177.5K

How much do data engineer data bricks jobs pay per year?

As of Jun 22, 2026, the average yearly pay for data engineer data bricks in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

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

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.
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Data Engineer Data Bricks jobs near you
Azure Data Engineer || Dallas, TX (Onsite)

Azure Data Engineer || Dallas, TX (Onsite)

Zodiac Solutions

Dallas, TX • On-site

$60 - $63/hr

Contractor

Posted 16 days ago

Job description

Title : Azure Data Engineer 

Location : Dallas, TX (Onsite)

Job Description:

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       7-9 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level