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Data Engineer Data Bricks Jobs (NOW HIRING)

Net Orbit

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.

Tror AI for everyone

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 ...

STEMtech

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 ...

Kasmo Global

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

API Development Data Engineer - Azure Data Bricks Description: This list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job ...

Embtel Inc

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Azure Data Bricks Consultant Location: Fort Worth, TX - (3 days onsite and 2 days remote) Duration ... Implement data migration and data engineering solutions using Azure products and services: (Azure ...

STEMtech

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 ...

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/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 ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX · On-site

$104K - $125K/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 ...

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 ...

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All JobsData Engineer Data Bricks Jobs

Data Engineer Data Bricks information

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$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

Data Engineer - Fulltime - Arlington, VA - Fulltime

Rootshell Enterprise Technologies, Inc.

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Posted 18 days ago

Job description

Position: Data Engineer with Azure and Data Bricks
Location: Arlington, VA (5 days on site)
Job Type: Full-Time
Need Locals
Top 3 Skills:
  • 8+ years of data engineering experience using Azure and Data Bricks
  • Experience building infrastructure and CI/CD pipelines
  • Experience working directly with the business to gather requirements

Job Description:
Position Responsibilities:
Key Responsibilities and Essential Duties:
  • Build complex data solutions in an Azure Cloud environment.
  • Maintain the Azure components and services.
  • Develop architecture changes using infrastructure as code.
  • Create data architectures diagrams for complex data modeling solutions.
  • Create and maintain data dictionaries for contextualizing data from disparate sources.
  • Enable end-to-end automation for deployment using continuous integration and continuous delivery.
  • Implement data pipelines to ingest data to the platform, standardize the data, and transform the data into business facing datasets.
  • Perform unit and integration testing of data pipelines.
  • Perform data integration at scale with Azure Data Factory.
  • Utilize Databricks to transform, curate, and organize data for use with business intelligence reporting and data analytics.
  • Work with BI developers and business SMEs to translate business requirements into curated datasets suitable for analytics solutions.
  • Document data pipelines for maintainability.
  • Work with source system owners and business owners to incorporate business changes into data pipelines.
  • Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
  • Assist in testing, governance, data quality, training, and documentation efforts.
  • Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.

Job Qualifications
  • Bachelor's degree in computer science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
  • 2+ years in cloud architecture and data engineering
  • Extensive experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure)
  • Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions.
  • Understanding of parallel processing and data architecture patterns.
  • Knowledgeable in data processing languages such as SQL, Python, or Spark.
  • Experience in building secure data processing pipelines using Azure data services.
  • Ability to self-manage and make your own decisions.
  • Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
  • Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
  • Excellent attention to detail and the ability to efficiently summarize and prioritize information.
  • Preferred Qualifications
  • Proficient in Microsoft Azure Storage Explorer, Azure DevOps, Azure Data Factory, Azure Databricks, Azure Data Lake Gen 2, Azure DevOps, Unity Catalog and Git
  • Experience in coding languages primarily Python and Spark.
  • Experience in agile development and sprint planning.
  • Strong technical writing skills.

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