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Databricks Data Engineer Jobsexternal in New Jersey (NOW HIRING)

Databricks

... of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts, data scientists, and security stakeholders on design trade-offs. * Translate ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in New Jersey

Databricks Data Engineer information

See New Jersey salary details

$45.2K

$131.7K

$180.2K

How much do databricks data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for databricks data engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in New Jersey? The most popular types of Databricks Data Engineer jobs in New Jersey are:
What are popular job titles related to Databricks Data Engineer jobs in New Jersey? For Databricks Data Engineer jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in New Jersey look for? The top searched job categories for Databricks Data Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Databricks Data Engineer jobs? Cities in New Jersey with the most Databricks Data Engineer job openings:
Databricks Data Engineer jobs near you
Infographic showing various Databricks Data Engineer job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 10% Part Time, and 10% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Field CTO - Public Sector

Databricks

Other

Posted 15 days ago

Job description

FEQ327R276

Databricks is seeking a Field Chief Technology Officer (Field CTO) for the Public Sector business to serve as a senior, customer-facing technology and mission transformation leader for strategic government and education accounts. This individual-contributor role sits at the intersection of data and AI strategy, mission modernization, public-sector operating models, and executive relationship building, working closely with C-level leaders to drive multi-year change on the data platform while representing real-world needs back into Databricks. The role will focus on helping agencies, departments, and public institutions use the Databricks Data Intelligence Platform to modernize data estates, strengthen security, improve operations, and deploy AI responsibly in support of mission outcomes.

Impact you will have:

  • Build and maintain trusted-advisor relationships with C-level and mission leadership across public-sector accounts, including CIOs, CTOs, CDOs, CISOs, program executives, mission owners, and transformation leaders.
  • Shape executive thinking on secure data and AI modernization, emphasizing lakehouse and data platform modernization as a foundation for analytics, governance, and generative AI in public-sector environments.
  • Lead executive briefings, strategy sessions, and mission workshops that connect agency priorities, regulatory obligations, security requirements, budget realities, and workforce constraints to practical Databricks-based roadmaps.
  • Serve as a deep technical counterpart in the field with strong working knowledge of Databricks products (L200-L300 proficiency) and the ability to credibly engage architects, engineers, analysts, data scientists, and security stakeholders on design trade-offs.
  • Translate recurring customer needs into reusable public-sector reference architectures, solution blueprints, technical narratives, and thought leadership assets.
  • Partner with Account Executives, Solutions Architects,  product specialists, professional services, and ecosystem partners to drive complex, multi-year platform decisions, expansions, and mission programs.
  • Provide structured feedback from strategic public-sector customers into Product, Engineering, and Field leadership, especially around governance, security, compliance, interoperability, and public-sector feature requirements
  • Mentor senior field engineering talent and help codify playbooks for complex public-sector engagements, including executive discovery, mission-value framing, partner orchestration, and secure deployment patterns.
  • Represent Databricks externally with senior public-sector audiences through conferences, councils, roundtables, webinars, and executive forums.

What we look for:

  • 15+ years of experience spanning enterprise technology, consulting, and public-sector transformation.
  • Significant experience working in or with U.S. public-sector institutions, such as federal civilian agencies, defense organizations, intelligence-related environments, state and local government, or education.
  • Direct experience in customer-facing pre-sales, technical strategy, architecture, advisory, or transformation leadership roles.
  • Strong background in modern data architectures, including distributed data systems, data engineering, analytics, governance, and AI or machine learning platforms.
  • Experience with public cloud environments such as AWS, Azure, or Google Cloud.
  • Experience with mission areas relevant to Databricks public-sector offerings, such as cybersecurity, public safety, fraud detection, benefits modernization, defense analytics, logistics, or geospatial and IoT-enabled operations.
  • Familiarity with public-sector procurement realities, partner-led delivery models, and the rhythm of government budget, program, and acquisition cycles.
  • U.S. citizenship required and active clearance preferred 

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