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Urgently Hiring Databricks Data Engineer Jobs (NOW HIRING)

DataBricks Data Engineer - W2 Only

$117K - $140K/yr

Databricks Data Engineer Location: Remote Duration: 12+ Months Note: Need Only Visa Independent Candidates Must be Databricks certified. Job Summary The Databricks Data Engineer owns the end-to-end ...

New

Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to Century City anticipated within approximately one year) Start Date: ASAP Duration: Permanent Compensation ...

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Senior Data Engineer (AI & Databricks) Location: Las Vegas, NV / Calabasas, CA Work Model: Onsite (4 days/week) Employment Type: Full-Time Work Authorization: U.S. Citizens (USC) & Green Card Holders ...

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking an Azure Data Engineer with expertise in Databricks. The role involves designing, building, and orchestrating ETL/ELT pipelines, ensuring data quality and governance, and ...

Databricks Data Engineer Location: New York, New York Duration: Contract Job ID: 178866 Job ... Final employment decisions are made by qualified hiring personnel and are not based solely on AI ...

Please note, this requisition supports hiring across multiple levels to support our Databricks Data ... Design reusable feature engineering workflows and model training pipelines using Databricks ...

Please note, this requisition supports hiring across multiple levels to support our Databricks Data ... Design reusable feature engineering workflows and model training pipelines using Databricks ...

Lead Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Lead design, development, and optimization of scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake * Enhancement of CI/CD pipelines and Azure DevOps, Git ...

Databricks/Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Databricks/Data Architect (Enterprise Data Platform) Experience: 14+ Years Location - NJ, Hybrid ... Design secure, scalable Lakehouse architecture using Delta Lake Data Engineering & Processing

Data Engineer - Databricks

Chicago, IL · On-site +1

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

... engineers. Responsibilities : • Conduct comprehensive data analysis, create data mappings ... Databricks to query and analyze large datasets, writing efficient and complex SQL queries • ...

Data Engineer - Databricks

Chicago, IL · On-site

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries - from public sector agencies to ...

Data Engineer - Databricks

Chicago, IL

$118K - $141K/yr

We're looking for a Data Engineer to join our Databricks practice and help design, build, and optimize Lakehouse-based data platforms for clients across industries -- from public sector agencies to ...

To learn more about CIBC, please visit CIBC.com What You'll Be Doing As a Databricks Data Engineer on the US Risk Technology team, you'll be working on AML Tech, Databricks, and other applications to ...

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Urgently Hiring Databricks Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do urgently hiring databricks data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for urgently hiring databricks data engineer 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 does a Databricks Data Engineer do?

An Urgently Hiring Databricks Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures using the Databricks platform. They work with large datasets, ensure data quality, and optimize data workflows to support analytics and business intelligence. Their role often involves collaborating with data scientists, analysts, and other stakeholders to ensure efficient data processing and storage solutions in a cloud environment. Because the position is urgently hiring, candidates are expected to have strong technical skills in Spark, Python or Scala, and experience with cloud services such as AWS, Azure, or Google Cloud.

What are the key skills and qualifications needed to thrive as a Databricks Data Engineer?

To thrive as a Databricks Data Engineer, you need strong proficiency in data engineering concepts, Python or Scala programming, and experience with big data processing frameworks, typically supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and relevant certifications such as Databricks Certified Data Engineer Associate are highly valued. Excellent problem-solving skills, collaboration, and effective communication set candidates apart in this fast-paced environment. These skills and qualifications are crucial for efficiently building scalable data pipelines, ensuring data integrity, and enabling business insights.

What are some common challenges faced by Databricks Data Engineers when onboarding to a new project, and how can they be addressed?

Databricks Data Engineers often encounter challenges such as adapting to a new team's data architecture, understanding existing ETL pipelines, and ensuring data quality within the Databricks environment. Successfully onboarding involves quickly familiarizing yourself with the team's coding standards, data governance policies, and collaboration tools. Proactively communicating with team members, documenting findings, and participating in code reviews can help bridge knowledge gaps and streamline integration into the workflow.

What is the difference between Urgently Hiring Databricks Data Engineer vs Data Scientist?

AspectDatabricks Data EngineerData Scientist
Required SkillsApache Spark, SQL, ETL, Databricks platformStatistics, Machine Learning, Python/R
Work EnvironmentData pipelines, cloud platforms, big data toolsData analysis, modeling, visualization
CertificationsDatabricks certifications, cloud platform credentialsNone specific, often advanced degrees

Urgently Hiring Databricks Data Engineers focus on building and maintaining data pipelines using Databricks and big data tools, while Data Scientists analyze data to generate insights and models. Both roles require technical expertise but differ in their core responsibilities and skill sets.

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$117K - $140K/yr

Full-time

Posted yesterday

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Job description

Role: Databricks Data Engineer
Location: Remote
Duration: 12+ Months
Note: Need Only Visa Independent Candidates
Must be Databricks certified.
Job Summary
The Databricks Data Engineer owns the end-to-end migration strategy, target architecture design, and technical execution of moving legacy ETL workloads to the Databricks Lakehouse. He will establish migration standards, optimize PySpark pipelines, orchestrate complex data workflows, and deploy proprietary automation tools to ensure a seamless, high-performing transition from legacy systems.
Key Responsibilities
Architectural Strategy & Governance
• Design the target Databricks Lakehouse architecture utilizing Delta Lake, Photon, and Unity Catalog.
• Establish global code refactoring standards, optimization benchmarks, and PySpark best practices.
• Resolve highly complex dependency mappings and architect seamless, zero-downtime dual-run strategies.
• Lead the technical deployment and integration of specialized migration accelerators
Hands-on Engineering & Optimization
• Review automated output from migration tools and manually refactor complex legacy logic into high-performing PySpark notebooks.
• Eliminate legacy anti-patterns such as massive row-by-row processing and inefficient lookups.
• Optimize PySpark code performance using advanced Spark features including Z-Ordering, partitioning, and caching.
• Build robust Databricks Workflows and orchestrate complex DAGs based on comprehensive source lineage.
Technical Skills & Competencies
• Core Platforms: Databricks, Delta Lake, Unity Catalog, Photon, DataStage.
• Languages & Frameworks: PySpark, Python, SQL, Shell Scripting.
• Cloud & DevOps: AWS alongside CI/CD deployment pipelines.
• Orchestration: Apache Airflow, Databricks Workflows.