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Entry Level Databricks Data Engineer Jobs in Pittsburgh, PA

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 ...

SysMind Tech

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

Pwc

Data Engineer - Senior Associate

Pittsburgh, PA

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Engineer - Senior Associate

Pittsburgh, PA

$77K - $202K/yr

... Databricks Unified Data Analytics Platform for advanced data analytics and visualization ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Free Market Health

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

The Role We are seeking a Data Engineer to play a key role in building and optimizing the data ... SQL, Python, Scala * Databricks/Delta Lake, dbt/dbt Cloud * Ability to work within a team ...

Pittsburgh Associates

DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

Experience supporting data engineering or analytics infrastructure (e.g., Snowflake, Databricks, Airflow). * Familiarity with secrets management tools such as HashiCorp Vault or AWS Secrets Manager.

Pittsburgh Pirates

DevOps Engineer

Pittsburgh, PA · On-site

$51.25 - $70.25/hr

Experience supporting data engineering or analytics infrastructure (e.g., Snowflake, Databricks, Airflow). * Familiarity with secrets management tools such as HashiCorp Vault or AWS Secrets Manager.

Cmu

Associate Data Scientist

Pittsburgh, PA · On-site

$57K - $57K/yr

Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy ... Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience:

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Entry Level Databricks Data Engineer information

See Pittsburgh, PA salary details

$29.1K

$67.3K

$114.6K

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

As of Jul 20, 2026, the average yearly pay for entry level databricks data engineer in Pittsburgh, PA is $67,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $76,200.00 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.
What are the most commonly searched types of Databricks Data Engineer jobs in Pittsburgh, PA? The most popular types of Databricks Data Engineer jobs in Pittsburgh, PA are:
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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

Re-posted 3 days ago

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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