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Databricks Engineer Jobs in Narberth, PA (NOW HIRING)

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · Hybrid

$58.50 - $76.75/hr

AWS certifications such as SAA, Associate Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · Hybrid

$58.50 - $76.75/hr

... Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May 15th, 2026 subject to earlier closure due ...

Lincoln Financial

Databricks Engineer and Architect

Radnor, PA · On-site

$58.50 - $76.75/hr

... Developer, Data Analytics Specialty, or Databricks certification is a plus. Application Deadline Applications for this position will be accepted through May 15th, 2026 subject to earlier closure due ...

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Databricks Engineer information

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$56.9K

$106.7K

$194.1K

How much do databricks engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks engineer in Narberth, PA is $106,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $126,700.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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?

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.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What cities near Narberth, PA are hiring for Databricks Engineer jobs? Cities near Narberth, PA with the most Databricks Engineer job openings:
Databricks Engineer jobs near you

Senior Databricks Engineer

Tata Consultancy Service Limited

Malvern, PA • On-site

$120K - $135K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Must Have Technical/Functional Skills
Apache Spark: Mastery of Spark SQL and the DataFrame API for distributed data processing, performance tuning, and optimizing execution plans.
Delta Lake & Lakehouse: Building medallion architectures (Bronze, Silver, Gold layers) and using optimizations like Z-Ordering and ACID transactions
Pipelines & Orchestration: Developing with Delta Live Tables (DLT) and Databricks Workflows to design resilient, idempotent ELT/ETL pipelines.
Unity Catalog: Configuring data governance, row/column-level security, and data lineage
Languages: Advanced proficiency in Python (PySpark) and SQL
Storage & Data Lakes: Expert in reading/writing to Amazon S3 and integrating with AWS data warehouses (e.g., Amazon Redshift).
Security & IAM: Implementing cross-account IAM roles, S3 bucket policies, and Customer-Managed Keys (CMK) via AWS KMS
.Compute Management: Managing cluster policies, instance profiles, and utilizing Spot Instances to optimize Databricks compute costs on AWS.
Ecosystem Integration: Familiarity with integrating Databricks jobs alongside native services like AWS Glue, Amazon Kinesis, and AWS Step Functions
CI/CD & Version Control: Git-based workflows using Databricks Git Folders and managing deployments.
AI & MLOps: Using MLflow for experiment tracking and model registries.
Familiarity with LLMs, Vector Search, and GenAI integrations.
Roles & Responsibilities
Data Pipeline Development: Extract, transform, and load (ETL) data from multiple sources, building batch and streaming pipelines.Spark & Code Optimization: Write highly efficient PySpark, Scala, or SQL code. Troubleshoot distributed processing bottlenecks and optimize job performance.
Lakehouse Management: Work with the Medallion architecture to transition data through Bronze (raw), Silver (cleansed), and Gold (aggregated) layers in Delta Lake.
Orchestration & Automation: Schedule and automate workflows using Databricks Jobs, Workflows, or Delta Live Tables (DLT). Configure automated tests, retries, and error handling.
Governance & Security: Implement data privacy and access controls utilizing the Databricks Unity Catalog, ensuring compliance and secure data sharing.
Collaboration: Work alongside Data Scientists, Data Analysts, and ML Engineers to prepare data features and support BI reporting, ML training, and generative AI initiatives.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000 - 135,000 a year

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