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Urgently Hiring Databricks Data Engineer Jobs (NOW HIRING)

NMK Global Inc.

Azure Databricks Data Architect

Trappe, PA · On-site

$63 - $81/hr

Job Title: Azure Databricks Data Architect Location: Collegeville, PA We are looking for an ... Collaborate with Agile and DevOps teams for CI/CD and deployment automation. * Design enterprise ...

New

NMK Global Inc.

Azure Databricks Data Architect

Trappe, PA · On-site

$63 - $81/hr

Job Title: Azure Databricks Data Architect Location: Collegeville, PA We are looking for an ... Collaborate with Agile and DevOps teams for CI/CD and deployment automation. * Design enterprise ...

New

Kanak Elite Services Inc

Data Engineer

Bay Point, CA · On-site

$125K - $151K/yr

Databricks Data Engineer Location: [Bay Area, CA] Duration : 12+ Months Need experience with Databricks Job Summary: We are seeking a skilled Data Engineer with hands-on Databricks experience to ...

Slide Insurance

Data Engineer

Tampa, FL · On-site

$108K - $129K/yr

As an Azure Databricks Data Engineer at Slide, you will build and support data pipelines using Azure Data Factory , Databricks , PySpark , and Spark SQL . You'll partner with engineering and business ...

Tata Consultancy Services

Sr. Databricks Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Tata Consultancy Services is seeking a hands-on Sr. Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience ...

Deloitte

Databricks Data Engineering Manager

Rosslyn, VA · On-site

$130K - $156K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ... Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning ...

Deloitte

Databricks Data Engineering Manager

Arlington, VA · On-site

$131K - $158K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your ... Professional Databricks certifications (e.g., Data Engineer Professional, Machine Learning ...

Zurich Insurance Group

Data Engineer - Databricks

NM · Remote

$117K - $140K/yr

#ZCC Zurich Capability Center is currently hiring a: Data Engineer - Databricks Responsibilities As a Data Engineer, your main tasks will involve: * Design, build, and maintain scalable data pipelines ...

Tata Consultancy Services

Databricks Lead

Raleigh, NC · On-site

$99K - $131K/yr

Tata Consultancy Services is seeking a Databricks Lead to design, develop, and optimize data ... The ideal candidate will have extensive experience in data engineering, ETL development, and ...

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All JobsUrgently Hiring Databricks Data Engineer Jobs

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 Jul 14, 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.

How much does a Databricks Data Engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Salaries tend to be higher in regions with a strong tech industry and for professionals with skills in Spark, cloud platforms, and data pipeline development.

What does an Urgently Hiring 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 engineer makes $500,000 a year?

Highly experienced data engineers, particularly those working with advanced tools like Databricks and cloud platforms, can earn salaries approaching or exceeding $500,000 annually, especially in senior or specialized roles. Such compensation often includes bonuses, stock options, or other incentives in competitive tech environments.

Is Databricks Data Engineer in demand?

The Databricks Data Engineer role is in high demand due to the increasing adoption of cloud-based data platforms and big data processing tools. Employers seek professionals skilled in Spark, SQL, and cloud environments to manage large-scale data workflows, making this a valuable and growing job market for data engineers with Databricks expertise.

How to trigger a job in Databricks?

To trigger a job in Databricks, navigate to the Jobs tab, select the desired job, and click the 'Run Now' button. You can also schedule jobs or trigger them via the REST API using appropriate authentication tokens and parameters. Ensuring proper permissions and job configurations is essential for successful execution.

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

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 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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Urgently Hiring Databricks Data Engineer jobs near you
Lead Databricks Engineer / W2 position/12+yrs experience

Lead Databricks Engineer / W2 position/12+yrs experience

VentureSoft Global

Detroit, MI • On-site

$93K - $123K/yr

Other

Posted 22 days ago

Job description

Lead Data Engineer – Databricks Data Modeling & Architecture
Location: Detroit, MI (Onsite)
Work Arrangement: 100% Onsite
Job Summary
We are seeking an experienced Databricks Data Engineer for a 6-month onsite contract engagement in Detroit, MI. The ideal candidate will design and maintain enterprise-grade data models and architectures across data warehouses, data lakes, and lakehouse platforms. This role combines hands-on data modeling expertise with architectural leadership, partnering with business and technology teams to deliver scalable, governed, and high-performance data solutions on Databricks and Microsoft Azure.
Key Responsibilities
Design Enterprise Data Models Develop and maintain conceptual, logical, and physical data models for data warehouses, data lakes, and lakehouse architectures using Databricks and modern data platforms.
Architect Scalable Data Solutions Design end-to-end data architectures leveraging Databricks, Delta Lake, Spark, and cloud platforms to support AI/ML and business intelligence initiatives.
Establish Data Governance & Standards Define data modeling standards, metadata management, data quality frameworks, and master data management governance processes to ensure trusted and compliant data assets.
Lead Data Integration & Optimization Architect and optimize batch, streaming, CDC, and ELT/ETL pipelines, ensuring high performance, scalability, efficiency, and reliability across enterprise data ecosystems.
Collaborate with Business & Technology Teams Partner with business stakeholders, data engineers, analysts, and AI/ML teams to translate requirements into scalable data products, reusable data domains, and enterprise-wide data solutions.
Required Skills & Qualifications
  • Databricks Lakehouse Architecture – proven hands-on design and implementation experience
  • Delta Lake, Unity Catalog, Lakeflow, Auto Loader
  • PySpark and SQL – strong development and optimization skills
  • Data Modeling – 3NF, Dimensional (Star/Snowflake), and Data Vault methodologies
  • Data Governance, Data Quality (DQ), and Metadata Management
  • Cloud Platform: Microsoft Azure (Azure Data Lake Storage, Azure Databricks, and related services)
  • Experience designing and optimizing batch, streaming, CDC, and ELT/ETL data pipelines
  • Strong understanding of data warehouse, data lake, and lakehouse design patterns
  • Excellent communication skills with the ability to engage both technical teams and business stakeholders
Preferred Qualifications
  • Databricks certification (e.g., Databricks Certified Data Engineer Professional or Data Architect)
  • Microsoft Azure certification (e.g., Azure Data Engineer Associate / Solutions Architect)
  • Experience supporting AI/ML and BI workloads on a lakehouse platform
  • Prior experience in an enterprise or large-scale data modernization program
  • Background in regulated or enterprise environments with formal governance requirements

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