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Urgently Hiring Databricks Data Engineer Jobs in Raleigh, NC

Relias US

Data Engineer I - Data 360

Morrisville, NC · Hybrid

... Engineer I owns the revenue data platform that powers analytics and AI across the customer ... Integrate Data Cloud with the Relias Information Hub on Databricks, and integrate and maintain ...

Tata Consultancy Service Limited

BI Architect

Raleigh, NC · On-site

$100K - $140K/yr

... Databricks data platform. • Experience with Azure data ecosystem and cloud-native analytics ... Data Engineering teams to ensure consistent and trusted reporting datasets. • Establish BI ...

FHR

MO 85- Power BI and Data engineer (806590)

Raleigh, NC · On-site

$111K - $133K/yr

... Databricks workflows Required 3 Years SQL Mastery: Advanced query writing, ETL/ELT, performance ... Required 5 Years Programming Languages: Strong proficiency in Python or Scala for data processing.

New

Innova Solutions, Inc

Data Engineer

Raleigh, NC · On-site

$55 - $60/hr

A client of Innova Solutions is immediately hiring for a " Data Engineer" Position type: Full-time Contract (W2) Role: "Data Engineer" Duration: 6+ months Contract Location : Cupertino, CA OR Austin ...

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All JobsUrgently Hiring Databricks Data Engineer JobsUrgently Hiring Databricks Data Engineer Jobs in Raleigh, NC

Urgently Hiring Databricks Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

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

As of Aug 7, 2026, the average yearly pay for urgently hiring databricks data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 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 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?

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.

What are the most commonly searched types of Databricks Data Engineer jobs in Raleigh, NC? The most popular types of Databricks Data Engineer jobs in Raleigh, NC are:
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Urgently Hiring Databricks Data Engineer jobs near you

Sr. Forward Deployed Engineer (FDE) - Communications, Media, Entertainment & Games

Databricks

Raleigh, NC • On-site

$101K - $139K/yr

Other

Re-posted 27 days ago

Job description

CSQ127R318

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. 

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification

Apply