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Data Engineer Data Bricks Jobs (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Bricks and/or Snowflake Skills: ETL Yes 1 2 - 4 Years SSIS Yes 1 2 - 4 Years Advanced SQL query writing Yes 1 2 - 4 Years Data Engineer Yes 1 1 - 2 Years Data Management Yes 1 1 - 2 Years ...

New

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Snowflake SQL Python ADF Azure Data Bricks PySpark Data Warehouse Concepts : This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Redshift or Snowflake or Big Query Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes * Results-driven Data Engineer ...

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

Azure Data Engineer Houston TX - Onsite from day 1 Project Overview: New project- credit card ... Data Lake, Data Bricks, Tableau * Arch level convos * Can interface with other partners onsite ( ex.

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc. Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS SQL ...

Azure Data Bricks Solution Architect

$65 - $84.75/hr

Job Summary : Diverse Lynx is seeking an Azure Data Bricks Solution Architect to lead the ... for data engineering and system architecture. • Collaborate closely with data scientists ...

... Bricks or other data platforms. Qualifications : Required : • Bachelor's degree in information technology or a related field. • 4+ years of experience in Data Engineering/Architecture, ETL with ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hadoop, Map/Reduce, Spark, HBase, HDInsight, Data Bricks, Hive) and with programming languages like UNIX shell scripting, Python etc. • Has used SQL, PL/SQL or T-SQL with RDBMSs like Teradata, MS ...

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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 Jul 14, 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.
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 July 2026, with employment types broken down into 2% Locum Tenens, 35% Internship, 2% As Needed, 48% Full Time, 12% Part Time, and 1% Summer. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Mindlance

Minneapolis, MN • On-site

$119K - $143K/yr

Other

Posted 6 days ago

New


Job description

Title:         Data Engineer 4

Location:  Minneapolis, MN and Chandler, AZ and Irving, TX (Hybrid)

Contract:    24 months

Only W2, No C2C

Top Skills:
5+ years of experience designing ETL (SSIS/ADF), DBMS(SQL Server/Azure SQL/Oracle/Teradata), Python (Programming language)
5+ years of Advanced T-SQL (complex queries, stored procedures, functions, index)
3+ years of Performance Tuning and Optimization
3+ years of Data Engineering experience
2+ years of experience with Agile
2+ years of experience with Azure Database and Azure Data Factory
1+ years of experience using IDP, ServiceNow, EPL-X Pipeline (Git-SaaS, Git Actions, IDP, Artifactory, Harness)
1+ years of experience using advanced analytic tools: Data Bricks and/or Snowflake

Skills:

              ETL        Yes        1            2 - 4 Years         

              SSIS       Yes        1            2 - 4 Years         

              Advanced SQL query writing       Yes        1            2 - 4 Years         

              Data Engineer   Yes        1            1 - 2 Years         

              Data Management         Yes        1            1 - 2 Years         

              Microsoft SQL Server      Yes        1            2 - 4 Years         

              Pandas Yes        1            2 - 4 Years         

              Python  Yes        1            2 - 4 Years         

              adf        No         2            2 - 4 Years         

              Data Analytics   No         3            1 - 2 Years         

              Data Cleansing  No         1            2 - 4 Years         

              Data Integration              No         1            2 - 4 Years         

              Data Integrity    No         1            2 - 4 Years         

              Data Lineage      No         2            1 - 2 Years         

              GitHub  No         2            1 - 2 Years         

              Microsoft Azure No         2            1 - 2 Years         

              Oracle /SQL        No         2            1 - 2 Years         

              SQL/Teradata    No         2            1 - 2 Years

 


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About Mindlance

Sourced by ZipRecruiter

Mindlance is a multinational staffing and services firm based in the Greater NYC area. We have 14 offices across the United States, Canada, and India. We match talented people to Fortune 500 and Fortune 1000 companies across industries. We have been in business since 1999 and are recognized by Staffing Industry Analysts (SIA) as one of the fastest-growing U.S. staffing firms. Our rapid growth means more jobs, more projects, and more opportunities for you. Our core philosophy means that you work with an organization that truly values and recognizes you.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Union, NJ, US

Year founded

1999