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Databricks Data Engineer Jobs in Hoboken, NJ (NOW HIRING)

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Data Engineer Must Have Qualifications: * Strong hands-on experience in Data Engineering and ... Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP. * Strong understanding of data ...

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Title: Azure Data Engineer Location: Iselin NJ - (3 Days from Office) Experience: 12+ Years ... Design, develop, and deploy Spark program in databricks environment to process and analyze large ...

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Working knowledge of Azure cloud services , such as Databricks, Storage Accounts, and Azure DevOps. Proficiency in SQL and experience with Python or another programming language used for data ...

New

Data Engineer Consultant

New York, NY · On-site

$120K - $175K/yr

Data Engineer Consultant (US Delivery Team)The Opportunity As a Data Engineer Consultant on our US ... In this role, you will work directly with modern technologies like Databricks, dbt, Python, and ...

Data Engineer Consultant

New York, NY · On-site

$120K - $175K/yr

Data Engineer Consultant (US Delivery Team) The Opportunity As a Data Engineer Consultant on our US ... In this role, you will work directly with modern technologies like Databricks, dbt, Python, and ...

Data Engineer Consultant

Manhattan, NY · On-site

$120K - $175K/yr

Data Engineer Consultant (US Delivery Team) The Opportunity As a Data Engineer Consultant on our US ... In this role, you will work directly with modern technologies like Databricks, dbt, Python, and ...

Lead Data Engineer

Parsippany, NJ · On-site

$115K - $138K/yr

The role requires strong expertise in Databricks, PySpark, Python, SQL, Delta Lake, data modeling, and large-scale data processing, along with finance or payroll domain experience. The engineer will ...

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Job Title- Data Engineer Location- New York, NY 10112 Reporting Type- Onsite Duration: 10 months ... Databricks experience preferred.

AI DATA ENGINEER

New York, NY · On-site

$125K - $150K/yr

... Databricks & Apache Spark Machine Learning lifecycle: training, deployment & monitoring MLflow / model registry / experiment tracking Feature engineering & ML data pipelines MCP Servers and AI data ...

... Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from ...

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both ...

Showing results 41-60

Databricks Data Engineer information

See Hoboken, NJ salary details

$48.7K

$141.9K

$194.2K

How much do databricks data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for databricks data engineer in Hoboken, NJ is $141,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

What is a Databricks data engineer?

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 Databricks data engineer do?

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 as a Databricks data engineer?

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.

How much does a Databricks data engineer make?

A Databricks Data Engineer typically earns between $90,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in Spark, cloud platforms, and data pipeline development can earn higher salaries.

Is a Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, cloud environments, and data pipeline development are highly sought after, leading to strong job growth in this field.

What are the most commonly searched types of Databricks Data Engineer jobs in Hoboken, NJ?

The most popular types of Databricks Data Engineer jobs in Hoboken, NJ are:

What are popular job titles related to Databricks Data Engineer jobs in Hoboken, NJ?

For Databricks Data Engineer jobs in Hoboken, NJ, the most frequently searched job titles are:

What job categories do people searching Databricks Data Engineer jobs in Hoboken, NJ look for?

The top searched job categories for Databricks Data Engineer jobs in Hoboken, NJ are:

What cities near Hoboken, NJ are hiring for Databricks Data Engineer jobs?

Cities near Hoboken, NJ with the most Databricks Data Engineer job openings:

Infographic showing various Databricks Data Engineer job openings in Hoboken, NJ as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 89% In-person, 2% Hybrid, and 9% Remote job distribution, with an average salary of $141,921 per year, or $68.2 per hour.

Data Engineer

Jersey City, NJ • On-site

SmartIPlace
IT Services • 51 - 200 employees

$119K - $143K/yr

Contractor

Re-posted 11 days ago


Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Data Engineer

Must Have Qualifications:
  • Strong hands-on experience in Data Engineering and enterprise-scale data integration.

  • Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions.

  • Strong SQL expertise with programming experience in Python, PySpark, or Snowpark.

  • Experience with dbt (Data Build Tool) for data transformation, modeling, ELT pipeline development, testing, documentation, and version control.

  • Hands-on experience with Snowflake, Databricks, Azure, AWS, or GCP.

  • Strong understanding of data lake, data warehouse, and lakehouse architectures.

  • Experience with orchestration tools such as Airflow, Databricks Workflows, or Snowflake Tasks.

  • Experience supporting Master Data Management (MDM) and enterprise data governance initiatives.

  • Familiarity with metadata management, data lineage, data cataloging, and data quality processes.

  • Experience integrating APIs, batch file ingestion, and real-time streaming technologies such as Kafka or Spark Streaming.

  • Knowledge of enterprise security, governance, RBAC, encryption, and data masking.

  • Experience working in Agile and DevOps environments with CI/CD pipelines.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.

Schedule: Standard

Position Overview

We are seeking a hands-on Data Engineer with strong experience building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud-based data platforms, modern data engineering practices, enterprise data integration, and Master Data Management (MDM). This role will support operational, analytical, and regulatory data initiatives while delivering secure, reliable, and scalable data solutions.

Responsibilities
  • Design, develop, and support scalable data pipelines and enterprise data integration solutions.

  • Build and maintain batch and real-time data ingestion, transformation, and processing frameworks.

  • Develop cloud-native data engineering solutions supporting enterprise data lake, warehouse, and lakehouse platforms.

  • Implement ETL/ELT processes for structured, semi-structured, and unstructured data sources.

  • Support Master Data Management (MDM) initiatives across security, account, client, and reference data domains.

  • Collaborate with architects, business analysts, governance teams, and application teams to deliver enterprise data solutions.

  • Implement data quality validation, monitoring, metadata management, and data lineage processes.

  • Support cloud migration and modernization initiatives involving legacy and enterprise data platforms.

  • Optimize data processing, storage, and pipeline performance for scalability and operational efficiency.

  • Ensure compliance with enterprise security, governance, and regulatory standards.

  • Support reporting, analytics, and downstream data consumption through reliable data delivery.

Preferred Skills
  • Financial Services or Banking industry experience.

  • Experience supporting regulatory, risk, compliance, or operational reporting environments.

  • Exposure to real-time data processing and streaming technologies.

  • Familiarity with CI/CD processes and infrastructure automation.

  • Strong analytical, troubleshooting, and problem-solving skills.

  • Excellent communication and collaboration abilities.


Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

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