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Databricks Engineer Jobs in Monroeville, PA (NOW HIRING)

Databricks Engineer

Pittsburgh, PA ยท On-site

$100K - $120K/yr

Role Overview We are seeking a Junior Databricks Engineer to join our team. This role is ideal for a recent master's graduate who is passionate about big data, cloud technologies, and modern data ...

Sr Databricks Data Engineer

Pittsburgh, PA ยท On-site

$111K - $133K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$107K - $128K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

Databricks Data Engineer II

Pittsburgh, PA ยท On-site

$111K - $133K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks Architect

Pittsburgh, PA ยท On-site +1

$62.75 - $82.50/hr

Mentor engineering teams and provide technical leadership. Requirements: * Active Databricks MVP designation (Required) * 10+ years of Data Engineering, Data Architecture, or Cloud Architecture ...

The position sits within CEI's Solutions and Engineering organization, working alongside data ... Databricks certifications such as Data Engineer Professional or Solution Architect * Experience ...

Data Engineer

Pittsburgh, PA ยท 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 ...

Data Engineer - Fabric

Wexford, PA ยท On-site

$108K - $130K/yr

Synergy Staffing is seeking a Databricks Data Engineer to develop and support data pipelines and analytics environments in Azure cloud-based data lake. The role involves translating business ...

Lead Data Engineer

Pittsburgh, PA ยท On-site

$99K - $131K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams ...

Senior Backend Engineer

Pittsburgh, PA ยท Remote

$25 - $70/hr

Senior Backend Engineer Branding Brand is hiring a Senior Backend Engineer for a 12-week contract ... Design the async write path from the service to Databricks (queue or stream, batch writer, retry ...

Senior Backend Engineer Branding Brand is hiring a Senior Backend Engineer for a 12-week contract ... Design the async write path from the service to Databricks (queue or stream, batch writer, retry ...

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Showing results 1-20

Databricks Engineer information

See Monroeville, PA salary details

$58.9K

$110.5K

$200.9K

How much do databricks engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for databricks engineer in Monroeville, PA is $110,482.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $131,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong job market for qualified candidates.

What are some common challenges faced by Databricks Engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data engineering may earn higher compensation. Salaries can also vary based on industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

What is a Databricks Engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

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

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.
What job categories do people searching Databricks Engineer jobs in Monroeville, PA look for? The top searched job categories for Databricks Engineer jobs in Monroeville, PA are:
What cities near Monroeville, PA are hiring for Databricks Engineer jobs? Cities near Monroeville, PA with the most Databricks Engineer job openings:
Infographic showing various Databricks Engineer job openings in Monroeville, PA as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $110,482 per year, or $53.1 per hour.
Databricks Engineer

Databricks Engineer

Techstra Solutions

Pittsburgh, PA โ€ข On-site

$100K - $120K/yr

Contractor

Posted 6 days ago


Job description

Role Overview
We are seeking a Junior Databricks Engineer to join our team. This role is ideal for a recent master's graduate who is passionate about big data, cloud technologies, and modern data platforms. The successful candidate will work alongside a senior data staff to design, build, and optimize data pipelines and analytics solutions using the Databricks Lakehouse Platform. We're looking for someone who is eager to learn, enjoys solving technical challenges, and thrives in a collaborative, team-oriented environment. This is an excellent opportunity to gain hands-on experience with enterprise-scale data engineering projects while being mentored by experienced professionals.
Key Responsibilities
  • Develop and maintain data pipelines using Databricks and Apache Spark.
  • Assist in building scalable ETL/ELT processes to ingest, transform, and curate data from multiple sources.
  • Collaborate with senior engineers to design and implement Lakehouse solutions following Medallion Architecture best practices.
  • Write efficient PySpark and SQL code to process large datasets.
  • Support data validation, testing, and troubleshooting to ensure data quality and reliability.
  • Participate in performance tuning and optimization of Databricks workloads.
  • Assist with implementing data governance, security, and access controls.
  • Work closely with data analysts, AI engineers, and business stakeholders to understand data requirements.
  • Contribute to CI/CD processes, source code management, and deployment automation.
  • Participate in Agile ceremonies including sprint planning, daily standups, retrospectives, and code reviews.
  • Document technical designs, data flows, and implementation standards.

Required Qualifications
  • Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related technical discipline.
  • Strong understanding of data engineering concepts and relational databases.
  • Experience with Python and SQL through academic projects, internships, or personal work.
  • Knowledge of Apache Spark fundamentals.
  • Familiarity with Databricks or cloud-based analytics platforms.
  • Understanding of data modeling and ETL/ELT processes.
  • Knowledge of Git and version control best practices.
  • Strong analytical, problem-solving, and debugging skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications
  • Hands-on experience with Databricks through coursework, internships, certifications, or personal projects.
  • Experience with Microsoft Azure, AWS, or Google Cloud Platform.
  • Familiarity with Delta Lake and Medallion Architecture.
  • Knowledge of Azure Data Factory, Microsoft Fabric, or similar data integration tools.
  • Exposure to data warehousing concepts and dimensional modeling.
  • Experience with Power BI or Tableau.
  • Databricks certifications are a plus.
  • Understanding of data governance and data quality principles.
  • Passionate about modern data engineering technologies.
  • Eager to learn from experienced engineers and continuously improve technical skills.
  • Strong team player who enjoys collaborating across technical and business teams.
  • Curious mindset with a willingness to explore new tools and technologies.
  • Highly organized with strong attention to detail.
  • Self-motivated, adaptable, and receptive to feedback.
  • Committed to delivering high-quality, scalable solutions.
Location: Pittsburgh, PA (relocation assistance is offered)
About Techstra Solutions
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com

Equal Employment Opportunity Statement
Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.