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Entry Level Databricks Data Engineer Jobs (NOW HIRING)

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

campus4tech

Data Engineer - Databricks & Snowflake

$117K - $140K/yr

Job Title-Data Engineer - Databricks & Snowflake Duration- 6 Month Contract to Hire Location: Remote Responsibilities: * Strong experience with Databricks and data infrastructure technologies

Medisolv, Inc.

Data Engineer

Columbia, MD · On-site

$111K - $133K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Preferred Qualifications · Experience with Azure and/or AWS platforms using Snowflake, Databricks ...

Medisolv, Inc

$99K - $119K/yr

As a Data Engineer/Analyst, you will work closely with Medisolv clients to extract, transform and ... Databricks, Data Factory, Glue, Lambda, SQL Server). • Review existing data pipelines, data ...

New

KeyLogic, LLC

$114K - $137K/yr

KeyLogic is seeking Databricks Engineers to join our growing team supporting the Department of ... As a Data Engineer in this role, you will be responsible for designing, building, and maintaining ...

Prabhav Services Inc

Azure Databricks

Dallas, TX

$54.75 - $67.75/hr

Data Engineering : Design and build scalable ETL pipelines using Azure Databricks. * Data Migration : Migrate data from on-premises or legacy systems into Azure cloud environments. * Big Data ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · Remote

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Acuity INC

Data Engineer - AWS/Databricks

Reston, VA · On-site +1

$119K - $143K/yr

This role requires knowledge and/or experience with Spark, Delta Lake, and distributed data pipelines on Databricks. The ideal candidate brings both engineering and strategic insight into enterprise ...

Virtual Networx

Sr DataBricks Lead

Cincinnati, OH · On-site

Programming Proficiency * Strong coding skills in Python and SQL for developing robust ETL pipelines and data transformations within Databricks notebooks and jobs. Delta Lake & Lakehouse Architecture

V4C.ai

Data Engineer

$117K - $140K/yr

Position Overview V4C.ai is seeking a motivated Data Engineer to join our remote team in the United ... Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest ...

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Entry Level Databricks Data Engineer information

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$30K

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How much do entry level databricks data engineer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level databricks data engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is an Entry Level Databricks Data Engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an Entry Level Databricks Data Engineer, and why are they important?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry-level Databricks Data Engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.
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Entry Level Databricks Data Engineer jobs near you

Data Engineer - Databricks

SysMind Tech

Pittsburgh, PA • On-site

$108K - $130K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Role: Data Engineer
Location: Warrendale, PA / Pittsburgh, PA (Onsite)
Job Type: Contract
Role Overview
We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and Spark to design and build scalable data pipelines. The ideal candidate will have hands-on experience with ETL/ELT development and large-scale data processing using Spark and PySpark.
Key Responsibilities
  • Design, develop, and maintain ETL/ELT data pipelines for large-scale data processing.
  • Build scalable data solutions using Databricks and Apache Spark (PySpark / Spark SQL).
  • Develop and optimize Python-based data processing frameworks.
  • Work closely with data analysts and data scientists to deliver high-quality datasets.
  • Optimize performance and scalability of data pipelines.
  • Implement data quality checks and monitoring solutions.
  • Collaborate with cross-functional teams to support analytics and reporting initiatives.

Required Skills
  • Advanced Databricks (hands-on experience)
  • Strong Python programming
  • Spark / PySpark / Spark SQL
  • ETL / ELT pipeline development
  • Data pipeline optimization and performance tuning
  • Strong SQL skills

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