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Intern Databricks Data Engineer Jobs in New Jersey

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

W2 contract We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a ...

Lead - Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Factory, Databricks, Synapse, ADLS, and Azure SQL DB. • Proficiency in DevOps tools ... Azure DevOps, Git, CI/CD pipelines. • Strong skills in SQL, Python, and data modeling ...

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

... like Databricks and Microsoft Fabric • Demonstrated experience in data preparation and ... programming skills in Python and significant experience with microservice architecture, including ...

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

... engineering, and collaborating with AI teams to enhance data schemas for AI solutions ... like Databricks and Microsoft Fabric • Demonstrated experience in data preparation and ...

AWS Glue, Python, PySpark, Databricks * Programming Languages: Python, Java, Scala, SQL, HiveQL * Data Integration & Migration: Experience with Hadoop, Kafka, data lakes, and real-time streaming

Senior Data Engineer

Princeton, NJ · Hybrid

$111K - $151K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Senior Data Engineer

Jersey City, NJ · Hybrid

$110K - $150K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Senior Data Engineer

Morristown, NJ · Hybrid

$109K - $148K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... Data Engineering or Data Platform development. * Strong hands-on expertise in Snowflake SQL ... Experience with Spark, Kafka, or Databricks. * SnowPro and/or AWS certifications. * Experience in ...

Showing results 41-60

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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 Intern Databricks Data Engineer jobs in New Jersey?

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

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

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

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

Senior Data Engineer

Accord Technologies Inc.

Iselin, NJ • On-site

$107K - $146K/yr

Contractor

Re-posted 28 days ago


Job description

Title: Senior Data Engineer 
Location: Iselin, NJ  (
Need Onsite day 1, Hybrid 3 days from office)
Duration: 12 months.
Position type; W2 contract
 
Job Description:
We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team.
The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.

Responsibilities:
  • Design, develop, and maintain scalable and efficient data pipelines using Snowflake, Pyspark, and SQL.
  • Write optimized and complex SQL queries to extract, transform, and load data.
  • Develop and implement data models, schemas, and architecture that support banking domain requirements.
  • Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
  • Automate data workflows and ensure data quality, accuracy, and integrity.
  • Manage and coordinate release processes for data pipelines and analytics solutions.
  • Monitor, troubleshoot, and optimize the performance of data systems.
  • Ensure compliance with data governance, security, and privacy standards within the banking domain.
  • Maintain documentation of data architecture, pipelines, and processes.
  • Stay updated with the latest industry trends and incorporate best practices.
Requirements:
  • Proven experience as a Data Engineer or in a similar role with a focus on Snowflake, Python, Pyspark, and SQL.
  • Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
  • Hands-on experience with release management, deployment, and version control practices.
  • Solid understanding of banking and financial services industry data and compliance requirements.
  • Proficiency in Python scripting and Pyspark for data processing and automation.
  • Experience with ETL/ELT processes and tools.
  • Knowledge of data governance, security, and privacy standards.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
     
Preferred Qualifications: 
  • Good Knowledge in Azure and Databricks in highly preferred.
  • Knowledge of Apache Kafka or other streaming technologies.
  • Familiarity with DevOps practices and CI/CD pipelines.
  • Prior experience working in the banking or financial services industry.