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Data Engineer Data Bricks Jobs (NOW HIRING)

STEMtech

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/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 ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108.90K - $130.80K/yr

... Bricks, Spark, and Data Explorer. * 2 to 4 years of designing Big Data Pipelines supporting Data Science Use Cases. * Practical experience in Python and at least 1 of the following programming ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Bricks Developer

$117.20K - $140.70K/yr

Data Engineer (Sr) Location: Louisville, Kentucky-USA, Remote. The Senior Data Engineer will be responsible for the build of the Enterprise Data platform. Setting up data pipelines that are scalable ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX

$104.80K - $125.90K/yr

Data Engineer Department: Data Engineer Job Status: Full Time FLSA Status: Exempt Reports To ... Bricks and Logic Apps * 3+ years' experience working with unstructured and semi-structured data ...

Navtech, Inc.

Azure Data Engineer

Eden Prairie, MN · On-site

$116.60K - $140K/yr

Strong in working with Data Factory/ Data bricks and an understanding of logs and how they impact ... engineered for optimal success * Provide feedback and input to the Data analyst teams on how the ...

CEDENT

Sr. ML Data Engineer (ETL

$40 - $60/hr

Feature Engineering Data Integration Develop and maintain feature engineering pipelines using Data bricks to support ML models effectively * Data Pipeline Development Integrate diverse data sources ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

Job Title DATA ENGINEER/DATA ANALYST Location Huntsville, AL US (Primary) Category Engineering Job Type Full-Time Career Level Experienced (Non-Manager) Education High School / GED Security Clearance ...

BLN24

Data Lead

Mclean, VA · On-site

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

BLN24

Data Lead

Mclean, VA · On-site

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

Apidel Technologies

Data Engineer Level 2

Blue Ash, OH

$105.20K - $126.30K/yr

Top 3 Skills: azure data bricks, python, and spark Soft Skills Needed: problem solving, attention ... do peer programing throughout the day. Very Important Details Work Location must be local ...

WinWire

Data Engineer

Santa Clara, CA · On-site

$210.75K - $230K/yr

Create/ Modify Pyspark data bricks notebooks to apply the business transformations and implement ... Engineering, or related field. Requires 5 years of experience with Azure Data Factory, SAP, and ...

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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 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:
What job categories do people searching Data Engineer Data Bricks jobs look for? The top searched job categories for Data Engineer Data Bricks jobs are:
Data Engineer Data Bricks jobs near you
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 Engineer

STEMtech

Atlanta, GA • On-site

$110.10K - $132.20K/yr

Full-time

Posted 29 days ago

Job description

Company Description
STEMtech has a client in the Atlanta area looking for a Data Engineer who will aid in the optimization of operations by manipulating and aggregating the disparate operational and back office data sources into a format that is easily digestible by both data scientists and statistically adept colleagues. His/her core responsibility will be to combine large volumes of disparate complex data, conduct quality checks on the data, manipulate the data and ensure continuous access to a clean format of the operational data for data scientists and other stakeholders. In addition, he/she will also assist in developing the data pipeline to ensure ongoing data collection, consolidation, and management
Job Description
• Create data ingestion pipeline and processes based on jointly defined requirements
• Profile and analyze data to identify gaps and potential data quality issues; works with business SME's to resolve these issues
• Identifies relationships between disparate data sources
• Uses Python, "R", Informatica, and other Big Data tools and technologies to code the data Engineering routines
• Designs and develops the Data Engineering routines for feature extraction, feature generation and feature engineering
• Works with the group of data scientists and business SMEs to get the requirements and present the details in data
• Designs and jointly develops the data architecture with data architect and ensures security and maintenance
• Explores suitable options, designs, and creates data pipeline (data lake / data warehouses) for specific analytical solutions
• Identifies gaps and implements solutions for data security, quality and automation of processes
• Builds data tools and products for effort automation and easy data accessibility
• Supports maintenance, bug fixing and performance analysis along data pipeline
• Diagnoses existing architecture and data maturity and identifies gaps
• Gather requirements, assess gaps and build roadmaps and architectures to help the analytics driven organization achieve its goals
Qualifications
• 8-10 years of experience in data engineering and Data Lake using any Hadoop ecosystem
• Bachelor's Degree in Computer Science, Engineering, and/or background in Mathematic and Statistics; Master's or other advanced degree a plus
• Previous leadership experience
• Experience on Big Data platforms (e.g. 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 Server, Oracle etc in production environments
• Experience with reporting and BI packages e.g. PowerBI, Tableau, SAP BO etc.
• Strong critical thinking and problem solving skills
• Success at working on cross-functional teams to meet a common goal
• Self-starter with a high sense of urgency
Additional Information
All your information will be kept confidential according to EEO guidelines.

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