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Databricks Delta Lake Jobs (NOW HIRING)

Berkley

Databricks Data Engineer

Manassas, VA · On-site

$114K - $137K/yr

This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep ...

Berkley

Databricks Data Engineer

Manassas, VA

$114K - $137K/yr

This role will work with cutting-edge tools like Databricks, Delta Lake, PySpark, and AI/BI genie to transform raw data into actionable insights. As a hands-on Databricks Data Engineer with deep ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

$120K - $140K/yr

A strong command of SQL and Python is essential, along with hands-on experience using Databricks (Delta Lake, Spark notebooks, Unity Catalog), Pandas, Apache Spark, or similar data transformation ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site

$120K - $140K/yr

A strong command of SQL and Python is essential, along with hands-on experience using Databricks (Delta Lake, Spark notebooks, Unity Catalog), Pandas, Apache Spark, or similar data transformation ...

Pransu Tech Solutions

Azure Databricks Architect

Miami, FL

$60.75 - $79.25/hr

Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services. Establish governance, security and code-quality standards for the platform.

Ztek Consulting INC

Azure Databricks Architect

Miami, FL · On-site

$60.75 - $79.25/hr

Architect solutions using Azure Databricks, Delta Lake, ADLS, Azure Data Factory, and related Azure platform services. * Establish governance, security and code-quality standards for the platform.

Guru Schools

Job Title:-Senior Data Engineer

Spring, TX · On-site

$94K - $128K/yr

Design, build, and optimize scalable ETL/ELT pipelines using Databricks, Delta Lake, Python, SQL, and related data engineering technologies. * Demonstrate expert-level proficiency in PySpark and ...

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) * Proficiency in Azure Cloud Services. * Solid ...

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How much do databricks delta lake jobs pay per year?

As of Jun 7, 2026, the average yearly pay for databricks delta lake in the United States is $50,117.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $59,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Databricks Delta Lake Engineer, and why are they important?

To thrive as a Databricks Delta Lake Engineer, you need expertise in big data engineering, SQL, data modeling, and cloud computing, typically supported by a background in computer science or data engineering. Familiarity with Databricks, Apache Spark, Delta Lake, and cloud platforms like AWS or Azure, along with relevant certifications such as Databricks Certified Data Engineer, is essential. Strong problem-solving abilities, communication skills, and adaptability help you collaborate with cross-functional teams and address evolving data challenges. These competencies ensure robust, scalable, and reliable data pipelines that support critical business analytics and decision-making.

What is the difference between Databricks Delta Lake vs Data Engineer?

AspectDatabricks Delta LakeData Engineer
Primary FocusManaging and optimizing data lakes with ACID transactions and scalable storageDesigning, building, and maintaining data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data modeling, Delta Lake architectureSQL, ETL tools, programming (Python, Scala), data warehousing
Work EnvironmentCloud-based data platforms, big data environmentsData warehouses, cloud or on-premises data infrastructure

While Databricks Delta Lake focuses on managing scalable, reliable data lakes with ACID compliance, Data Engineers build and maintain the pipelines and infrastructure that enable data analysis. Both roles often collaborate but have distinct technical focuses within data management.

What is Databricks Delta Lake?

Databricks Delta Lake is an open-source storage layer that brings reliability, performance, and ACID (Atomicity, Consistency, Isolation, Durability) transactions to data lakes. It enables users to build robust and scalable data pipelines by providing features like schema enforcement, time travel, and unified batch and streaming data processing. Delta Lake helps organizations manage large volumes of data efficiently, ensuring data quality and consistency for analytics and machine learning workloads.

What are some common challenges faced by Databricks Delta Lake engineers when implementing data pipelines, and how can they be addressed?

Databricks Delta Lake engineers often encounter challenges related to data consistency, schema evolution, and handling large-scale streaming data. Ensuring ACID compliance while enabling efficient batch and streaming workloads can be complex, especially when dealing with frequent schema changes or high-volume data ingestion. To address these challenges, engineers typically use Delta Lake's built-in features such as schema enforcement, time travel, and optimized file management. Collaborating closely with data engineering and DevOps teams helps ensure robust pipeline monitoring, quick issue resolution, and continuous optimization.
Infographic showing various Databricks Delta Lake job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 81% Full Time, 17% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $50,117 per year, or $24.1 per hour.

Databricks Developer

Purple Drive Technologies

Dallas, TX • On-site

Full-time

Posted 25 days ago

Job description

Overview:
Role: Databricks Developer
Location: Dallas, TX
Duration: 6 months
Databricks, ADFA Databricks Job Description (JD) typically involves designing, developing, and maintaining scalable data pipelines, ETL processes, and data solutions using the Databricks platform (Lakehouse Architecture, Spark, Delta Lake) on cloud services (AWS, Azure, GCP).
Key responsibilities include data modeling, performance optimization, ensuring data quality security, collaborating with data scientists analysts, and implementing governance (like Unity Catalog) for big data analytics and AIML initiatives. Common Roles Responsibilities Databricks Developer Engineer Architect Builds data infrastructure, optimizes Spark jobs, creates ETLELT pipelines, and integrates with cloud services. Responsibilities Design develop data solutions on Databricks (Delta Lake, Unity Catalog).Optimize data pipelines (batch streaming) for performance. Collaborate with stakeholders (scientists, analysts).Implement data quality, security, and governance. Troubleshoot performance issues. Document technical specs.
Key responsibilities
Databricks, ADFA Databricks Job Description (JD) typically involves designing, developing, and maintaining scalable data pipelines, ETL processes, and data solutions using the Databricks platform (Lakehouse Architecture, Spark, Delta Lake) on cloud services (AWS, Azure, GCP). Key responsibilities include data modeling, performance optimization, ensuring data quality security, collaborating with data scientists analysts, and implementing governance (like Unity Catalog) for big data analytics and AIML initiatives. Common Roles Responsibilities Databricks Developer Engineer Architect Builds data infrastructure, optimizes Spark jobs, creates ETL ELT pipelines, and integrates with cloud services. Responsibilities Design develop data solutions on Databricks (Delta Lake, Unity Catalog).Optimize data pipelines (batch streaming) for performance. Collaborate with stakeholders (scientists, analysts).Implement data quality, security, and governance. Troubleshoot performance issues. Document technical specs.

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