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Databricks Engineer Jobs in New Jersey (NOW HIRING)

Argyllinfotech

Databricks Platform Architect

Jersey City, NJ · On-site

$67.50 - $88.75/hr

Job Title: Databricks Architect (Enterprise Data Platform) Experience: 10+ Years Location- NJ ... Design secure, scalable Lakehouse architecture using Delta Lake Data Engineering & Processing

SmartIT Frame

AWS/Azure Databricks Architect

Raritan, NJ · On-site

$66.25 - $87/hr

... engineering data governance performance optimization and enterprisegrade Databricks implementations Key Responsibilities Design and architect endtoend Databricks Lakehouse solutions across AWS and ...

Databricks

$63.75 - $84/hr

FEQ427R29 Solution Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data ...

Databricks

$182K - $234K/yr

Experience working with Databricks

Virtusa Corporation

AWS Databricks Lead

Piscataway, NJ · On-site

$104K - $137K/yr

Must have utilized AI tools for data engineering and data analytics use cases like data copilot, AI ... databricks, snowflake etc. * Strong understanding and implementation experience of production like ...

Databricks

You'll scale and maintain an outstanding Field Engineering team that operates efficiently to help accelerate Databricks' market growth. The Impact You Will Have * Alongside the Sales Director, you ...

Movadogroup

Databricks Reporting Architect

Paramus, NJ · On-site

$64.50 - $83/hr

The Databricks Reporting Architect will be responsible for the hands-on design, development, and ... Collaboration with business stakeholders, SAP functional teams, and data engineering resources is ...

Movado Group

Databricks Reporting Architect

Paramus, NJ · On-site

$64.50 - $83/hr

The Databricks Reporting Architect will be responsible for the hands-on design, development, and ... Collaboration with business stakeholders, SAP functional teams, and data engineering resources is ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in New Jersey

Databricks Engineer information

See New Jersey salary details

$60.4K

$113.3K

$206.1K

How much do databricks engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for databricks engineer in New Jersey is $113,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,700.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in New Jersey?

For Databricks Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in New Jersey look for?

The top searched job categories for Databricks Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Databricks Engineer jobs?

Cities in New Jersey with the most Databricks Engineer job openings:

Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in New Jersey as of August 2026, with employment types broken down into 88% Full Time, 5% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $113,332 per year, or $54.5 per hour.

Lead Software Engineer - Python, Databricks and AWS

JP Morgan Chase

Jersey City, NJ • On-site

Full-time

Medical, Retirement

Re-posted 5 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 

Job responsibilities

  • Architect the lake house: design bronze/silver/gold (or equivalent) layers, domain data products
  • Deliver ingestion at scale: implement resilient ingestion from AWS sources into Databricks (batch + streaming), including CDC where needed.
  • Build maintainable pipelines: use Delta Live Tables (DLT) and/or standard Jobs with clear modular structure, testing, and documentation.
  • Operational excellence: productionize workloads via Databricks Workflows/Jobs, robust retries, checkpointing, idempotency, and safe re-runs.
  • Governance by design: enforce least privilege, data classification (PII), auditing, lineage/metadata, and controlled sharing/consumption.
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Performance & cost management: tune Spark/Delta workloads, right-size clusters, optimize storage layout, and manage job/warehouse spend.
  • Lead and mentor: set engineering standards, run design reviews, drive code quality, and upskill engineers in Spark/Databricks best practices, cross-functional delivery: translate stakeholder needs into technical plans, communicate tradeoffs, and align with security/platform teams.
  • CI/CD and IaC: Terraform (preferred) for Databricks + AWS resources; promotion across environments.
  • Testing: unit/integration tests for transformations, data quality checks, contract testing, and replay/backfill procedures, version control & code review discipline; clear documentation and runbooks.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years hands on Software Development Life Cycle experience
  • Strong data engineering experience, including proven leading delivery/architecture for multi-team data platforms.
  • Hands-on experience building and operating a Databricks Lakehouse Hosted in AWS
  • Deep experience with Delta Lake (ACID tables, partitioning, schema evolution, 
  • Proven experience with Spark on Databricks (performance tuning, cluster sizing, skew mitigation, joins, caching, file sizing).
  • Experience with streaming and batch pipelines (Structured Streaming; incremental processing; backfills; late-arriving data).
  • Strong AWS fundamentals for data platforms: S3, IAM, KMS, networking basics (VPC/security groups), logging/auditing.
  • Experience implementing data governance/security controls in Databricks (e.g., Unity Catalog, table/column permissions, credential passthrough patterns as applicable).

  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.

  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

  • Demonstrated ownership of reliability: monitoring/alerting, incident response, RCA, and SLO/SLA management.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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