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Databricks Jobs in Newark, NJ (NOW HIRING)

Databricks Engineer

New York, NY · Hybrid

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

ABSOLUTE MUST-HAVES (Please do not submit candidates without these): * 5-8 years of hands-on Databricks engineering experience (not light exposure) * Strong, recent Delta Live Tables (DLT) experience ...

Azure Databricks Engineer Location: Jersey City, NJ - Hybrid (2 days Onsite) NOTE :: Must be available for face to face for screening and final round of interview Responsibilities: 1. Design and ...

Azure Databricks

Manhattan, NY · On-site

$80 - $90/hr

Data Engineer - Azure Databricks (Corporate Vertical Developer) We are seeking an experienced Data Engineer - Azure Databricks (Corporate Vertical Developer) to support multiple corporate business ...

Databricks Engineer

New York, NY · Hybrid

$160K - $200K/yr

Our Capital Markets business unit is looking for two Databricks Engineers to join our existing team at a large, global bank. Successful candidates will work among a mixture of bank and Treliant staff ...

P-1592 At Databricks, we are passionate about enabling data and AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development ...

RDQ427R371 At Databricks , we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development ...

Showing results 21-40

Databricks information

See Newark, NJ salary details

$24.6K

$39.4K

$53.3K

How much do databricks jobs pay per year?

As of Aug 6, 2026, the average yearly pay for databricks in Newark, NJ is $39,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $43,400.00 per year, depending on experience, location, and employer.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

What are the most commonly searched types of Databricks jobs in Newark, NJ? The most popular types of Databricks jobs in Newark, NJ are:
What are popular job titles related to Databricks jobs in Newark, NJ? For Databricks jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Databricks jobs in Newark, NJ look for? The top searched job categories for Databricks jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Databricks jobs? Cities near Newark, NJ with the most Databricks job openings:
Infographic showing various Databricks job openings in Newark, NJ as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $39,438 per year, or $19 per hour.

Enterprise Account Executive - Financial Services

Databricks

New York, NY • On-site

$272K - $374K/yr

Full-time

Re-posted 24 days ago


Job description

SLSQ327R592
As an Enterprise Account Executive at Databricks, you are a strategic sales professional with experience selling to Financial Services accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in depth and are passionate about communicating its value to Customers and System Integrators. Always looking for new opportunities, you will be asked to grow within existing accounts. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.
The impact you will have:
  • Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partners
  • Close both new accounts and existing accounts
  • Identify and close quick, small wins while managing longer, complex sales cycles
  • Exceed activity, pipeline, and revenue targets
  • Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
  • Use a solution-based approach to selling and creating value for customers
  • Promote Databricks' enterprise cloud data platform powered by Apache Spark™
  • Ensure 100% satisfaction among all customers
  • Prioritize opportunities and applying appropriate resources
  • Build a plan for success internally at Databricks and externally with your accounts

What we look for:
  • You have previously worked in an early stage company and you know how to navigate and be successful
  • Field sales experience within big data, Cloud, or SaaS sales
  • Prior customer relationships with CIOs, program managers, and essential decision makers
  • Simply articulate intricate cloud technologies
  • 6+ years experience exceeding sales quotas
  • Expertise with financial services institutions preferable
  • Success closing new accounts while working existing accounts
  • Understanding of Spark and big data preferable
  • Passion for cloud technologies
  • Bachelor's Degree

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$272,000-$374,000 USD
Zone 2 Pay Range
$272,000-$374,000 USD
Zone 3 Pay Range
$272,000-$374,000 USD
Zone 4 Pay Range
$272,000-$374,000 USD
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.