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Contract Databricks Data Engineer Jobs in Cary, NC

Redhat

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Administer the enterprise Databricks platform by configuring IAM roles for secure Amazon S3 bucket ... contract between Red Hat and the recruitment agency or party requesting payment of a fee.Red Hat ...

InterSources Inc

NC FAST Data Engineer

Durham, NC · On-site

$110K - $132K/yr

They are seeking a Senior Data Engineer to support the development and maintenance of the Child ... Databricks, Snowflake, Hadoop, or similar - 3 Years • Experience with DevOps and CI/CD (Git and ...

Envestnet

Lead Data Engineer

Raleigh, NC · On-site

$99K - $131K/yr

Data Platform: Snowflake or Databricks * Tools/Products: dbt, Airflow, replication tools, semantic layer tools * Gen AI: Agents, Skills, Memory, Context Engineering, Prompt Engineering, AI First ...

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.

Judge Group, Inc.

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Databricks * Experience with automation and data engineering workflows. * Strong analytical and problem-solving abilities. Soft Skills * Excellent communication skills. * Fast learner who can ramp up ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance ... Experience working with Databricks Lakehouse architecture and distributed data processing platforms

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All JobsContract Databricks Data Engineer JobsContract Databricks Data Engineer Jobs in Cary, NC

Contract Databricks Data Engineer information

See Cary, NC salary details

$41.2K

$120.2K

$164.4K

How much do contract databricks data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for contract databricks data engineer in Cary, NC is $120,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 per year, depending on experience, location, and employer.

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Cary, NC?

The most popular types of Databricks Data Engineer jobs in Cary, NC are:

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Cities near Cary, NC with the most Contract Databricks Data Engineer job openings:

Contract Databricks Data Engineer jobs near you

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

Databricks

Raleigh, NC • On-site

$101K - $139K/yr

Full-time

Re-posted 23 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

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