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Entry Level Databricks Jobs in New York (NOW HIRING)

MedReview

ETL Engineer

New York, NY · On-site

$120/hr

This is not an entry-level role. You will be working with modern data tools and large datasets ... Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks * Build and ...

MedReview

ETL Engineer

Manhattan, NY · On-site

This is not an entry-level role. You will be working with modern data tools and large datasets ... Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks * Build and ...

Pwc

Data Validation Risk - Senior Associate

New York, NY · On-site

$77K - $202K/yr

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Thinkbrg

Fall 2027 Advisory Associate

New York, NY

We Do Consulting Differently The Associate position is a full-time entry level consulting staff ... Databricks, or Teradata is highly desirable. The willingness and interest to expand into these ...

IBM

Data Engineer Intern 2027

Bronx, NY

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

New

IBM

Data Engineer Intern 2027

New York, NY · On-site

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Azure, Snowflake, Databricks, etc) and AI concepts. ABOUT BUSINESS UNIT IBM Consulting is IBM ...

Pwc

AI & GenAI Data Scientist - Manager

Stamford, CT

$99K - $232K/yr

... Databricks, Snowflake, or related data and AI credentials - Demonstrating proficiency in AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Pwc

AI & GenAI Data Scientist - Manager

New York, NY

$99K - $232K/yr

... Databricks, Snowflake, or related data and AI credentials - Demonstrating proficiency in AI ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsDatabricks JobsEntry Level Databricks JobsEntry Level Databricks Jobs in New York

Entry Level Databricks information

See New York salary details

$37.1K

$98.4K

$162K

How much do entry level databricks jobs pay per year?

As of Aug 27, 2026, the average yearly pay for entry level databricks in New York is $98,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $113,600.00 per year, depending on experience, location, and employer.

What is an entry level Databricks job?

Entry level Databricks jobs are positions for individuals who are new to working with Databricks, a cloud-based platform for big data analytics and machine learning. These roles often involve assisting with data pipeline development, managing datasets, and supporting data engineering or data analytics projects under supervision. Typical responsibilities include writing basic code in Python or SQL, helping to prepare data for analysis, and learning to use Databricks tools and features. These jobs are a great starting point for those interested in data engineering or data science careers and typically require foundational knowledge in programming and data concepts.

What skills and qualifications are needed to thrive as an entry level Databricks professional?

To thrive as an Entry Level Databricks professional, you need a solid understanding of data engineering or data analytics, proficiency in Python or Scala, and a basic grasp of distributed computing concepts. Familiarity with Databricks platform tools, Apache Spark, and cloud services like AWS or Azure is highly valued, and completing Databricks certification courses can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication make candidates stand out in collaborative, data-driven environments. These skills and qualities are crucial for efficiently managing big data workflows, troubleshooting issues, and contributing to team success in data analytics projects.

What are common challenges faced by entry level Databricks professionals, and how can they overcome them?

Entry-level Databricks professionals often encounter challenges such as understanding distributed computing concepts, efficiently writing Spark code, and managing data pipelines in a collaborative environment. To overcome these hurdles, it's helpful to engage in hands-on practice with Databricks notebooks, participate in team code reviews, and leverage Databricks' comprehensive documentation and community forums. Working closely with more experienced data engineers or data scientists can also accelerate learning and help new team members adapt to the platform's best practices.

How to trigger a job in Entry Level Databricks?

To trigger a job in Entry Level Databricks, you can manually start it through the Databricks workspace by navigating to the Jobs tab and clicking the 'Run Now' button. You can also schedule jobs using the Databricks job scheduler or trigger them via API calls with appropriate authentication tokens. Familiarity with Spark, notebooks, and job configurations is helpful for managing and automating job executions.

What are the most commonly searched types of Databricks jobs in New York?

The most popular types of Databricks jobs in New York are:

What are popular job titles related to Entry Level Databricks jobs in New York?

For Entry Level Databricks jobs in New York, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks jobs in New York look for?

The top searched job categories for Entry Level Databricks jobs in New York are:

What cities in New York are hiring for Entry Level Databricks jobs?

Cities in New York with the most Entry Level Databricks job openings:

Entry Level Databricks jobs near you
Infographic showing various Entry Level Databricks job openings in New York as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $98,397 per year, or $47.3 per hour.

ETL Engineer

MedReview

New York, NY • On-site

$120/hr

Full-time

Re-posted 9 days ago

Job description

Position Summary:
MedReview is looking for a hands-on ETL Engineer who knows how to build, optimize, and scale data pipelines in a high-performance environment. This is not an entry-level role. You will be working with modern data tools and large datasets, with a strong focus on ClickHouse, SQL performance, and real time data processing.
If you're someone who can take ownership of data pipeline end-to-end and thrives in a fast-paced data-driven environment, this role is for you. This is an on-site role Monday - Thursday with remote Fridays. Candidates must be able to consistently work on-site. No exceptions. Salary $120-130K
Responsibilities:
You will be responsible for building and maintaining scalable ETL pipelines that power analytics and business intelligence.
  • Design and develop ETL pipelines using SSIS, Azure Data Factory, and Databricks
  • Build and optimize ClickHouse ingestion pipelines (batch + streaming)
  • Develop transformations for structured and semi-structured data
  • Optimize SQL Server and ClickHouse queries for performance and scalability
  • Improve data models, partitions, and materialized views in ClickHouse
  • Integrate data from multiple sources (APIs, SQL Server, cloud storage, Kafka/Event Hubs)
  • Monitor pipeline performance and ensure low latency + high reliability
  • Implement data quality checks, error handling and lineage tracking
  • Partner with BI teams to support dashboards (Power BI, etc)
Must-Haves (Non-Negotiables):
We are targeting candidates who already have strong, hands-on experience in the following:
  • ETL tools: Azure Data Factory, SSIS, Databricks
  • Strong SQL skills (writing, optimizing, and troubleshooting complex queries)
  • Experience working with ClickHouse (schema design, ingestion, optimization)
    Experience with cloud environments (Azure perferred)
  • Programing in Python or Scala for data processing
If you do not have ETL + SQL + ClickHouse exposure, you will not be a fit.
Nice to Have:
  • Experience with streaming data (Kafka, Event Hubs)
  • Exposure to big data frameworks
  • Understanding of DevOps/Data pipeline deployment practices
  • Experience supporting BI tools (Power BI, Tableau)
What Success Looks Like:
  • You can independently build and optimize ETL pipelines
  • You understand how to make data systems faster, cleaner, and scalable
  • You're comfortable working across engineering, analytics, and business teams
  • You proactively identify performance issues and fix them

Apply