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Databricks Software Jobs in Lakewood, NJ (NOW HIRING)

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage ...

Tech Tammina

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Design and develop data pipelines using Azure Data Services and Databricks . * Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric . * Integrate and manage ...

Spartan Technologies, Inc.

Senior Data Architect

Holmdel, NJ · On-site

$75.25 - $100.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Lead the implementation of data software development methodologies, including designing and ... Experience with one or more SQL-on-Hadoop technology (HIVE, Presto, Spark SQL, Databricks) and ...

All JobsDatabricks Software JobsDatabricks Software Jobs in Lakewood, NJ

Databricks Software information

See Lakewood, NJ salary details

$47.3K

$110.2K

$163.6K

How much do databricks software jobs pay per year?

As of Aug 13, 2026, the average yearly pay for databricks software in Lakewood, NJ is $110,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What are the key skills and qualifications needed to thrive as a Databricks software engineer, and why are they important?

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

Databricks Software jobs near you

Azure Data Engineer

Tech Tammina LLC

Hamilton, NJ • On-site

$113K - $136K/yr

Contractor

Re-posted 2 days ago

Job description

Role: Azure Data Engineer

Location: Hamilton, NJ (4 days onsite)

Duration: Long term

Responsibilities

  • Design and develop data pipelines using Azure Data Services and Databricks.
  • Build and optimize ETL/ELT workflows using PySpark, Python, SQL, and Azure Data Factory/Fabric.
  • Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage.
  • Support analytics and AI/ML use cases with clean, reliable, and scalable data models.
  • Collaborate with stakeholders to translate business needs into technical solutions.

Required Skills

  • Strong experience in Azure Data Engineering.
  • Hands-on expertise with Databricks, PySpark, Python SQL.
  • Experience with Azure Fabric, Snowflake, and modern data architectures.
  • Solid understanding of cloud data pipelines, performance tuning, and data governance.
  • Strong communication and stakeholder collaboration skills.