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Data Engineer Data Bricks Jobs (NOW HIRING)

Data Engineer with Data Bricks

Dallas, TX · On-site

$113.30K - $136K/yr

Job Title: Data Engineer with Data Bricks Job Location: Dallas, TX Job Type: Contract * Need a consultant with 10+ years of over all experience * Need a strong Data Engg with Data Bricks exp

Data Bricks Data Engineer

Plano, TX

$110.10K - $132.20K/yr

Role: " 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 ...

Data Bricks Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

Tata Consultancy Services is seeking a Senior Data Bricks Data Engineer to lead the development and optimization of large-scale data processing workloads. The role involves designing and maintaining ...

Data Bricks Data Engineer

Seattle, WA · On-site

$130.30K - $156.50K/yr

Tata Consultancy Services is seeking a Senior Data Bricks Data Engineer to develop and maintain data pipelines and workflows. The role involves optimizing large-scale data processing workloads and ...

Data Bricks engineer

Louisville, KY · On-site

$110K - $132.10K/yr

Role Description: Data Bricks engineer with Experience in AEP integrations Essential Skills: Data Bricks engineer with Experience in AEP integrations Desirable Skills: Not listed Keywords: Not listed ...

Azure Data Engineer

Dallas, TX · On-site

$113.30K - $136K/yr

... Bricks, Azure Data Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse ...

Sr Data Engineer

Fremont, CA · On-site

$146.80K - $176.30K/yr

Minimum 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks, etc. Azure experience is preferred. * 10 + ...

Data Engineer

$117.20K - $140.70K/yr

Position: Data Engineer Location: Remote Duration: 9 Months (Contract) • Gather business ... Data bricks • Participate in ETL QA • Participate on deployment process using CICD • ...

Data Engineer

Princeton, NJ · On-site

$120K - $144.10K/yr

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

Data Bricks Engineer/ Technical Lead

Dallas, TX

$101.40K - $133.50K/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 ...

Data Bricks Engineer/ Technical Lead

Dallas, TX

$101.40K - $133.50K/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 ...

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Data Engineer Data Bricks information

See salary details

$44.5K

$129.7K

$177.5K

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

As of May 31, 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 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.

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.

More about Data Engineer Data Bricks jobs
What cities are hiring for Data Engineer Data Bricks jobs? Cities with the most Data Engineer Data Bricks job openings:
What states have the most Data Engineer Data Bricks jobs? States with the most job openings for Data Engineer Data Bricks jobs include:
Infographic showing various Data Engineer Data Bricks job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 20% Physical, and 80% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer Data Bricks Certified

Data Engineer Data Bricks Certified

NAVA Software Solutions

Brooklyn, NY • On-site

$125.20K - $150.40K/yr

Full-time

Posted 22 days ago


Job description

NAVA Software solutions is looking for a Data Engineer - Azure Data Bricks Certified
Details:
Data Engineer - Azure Data Bricks Certified
Location: NY- 3 days/week onsite (Final interview wiil be onsite)
Duration: 12 months
Skills:
Azure Platform Experience:
The candidate should have hands-on experience with various Azure services including but not limited to
Azure Data Factory, Databricks, Data Lake, and Power BI.
They should be able to design, build, and maintain ETL pipelines, manage data lakes,
and create insightful reports and visualizations.
Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus.
SQL skill is a must to have And .NET C# skills will be a great plus.
Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services. Develop ETL processes, optimize data pipelines, and ensure data quality and security. Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.
Security on Azure Platform:
The candidate should have a strong understanding of security protocols within the Azure platform.
This includes knowledge of identity and access management, network security,
encryption methods, secure data communication, and securing serverless architectures.
Data Governance:
The candidate should have experience in implementing data governance strategies.
This includes setting up data governance frameworks, defining data ownership,
ensuring data quality, and implementing data privacy and compliance measures.
Knowledge of data cataloging, data lineage, and metadata management is also important.
Certifications: Azure certifications such as Azure Security Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Azure Databricks Data Engineer Professional Certificate is required. Databricks Machine Learning Certificate Preferable.
Must Have
  • Ability to intrepid, modify and write scripts and SQL queries
  • Apps/.Net Developer
  • Azure Cloud Data Engineer
  • Azure Databricks
  • Azure Data Factory
  • Azure logic App
  • PowerBi Report Server
  • Python

Nice To Have
  • .NET C# skills
  • SSIS

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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