Senior Databricks Developer

Robotic Technologies Automation; Pennsylvania; On-site; USD 95,000 - 128,000; Full time

Job summary

Robotic Technologies Automation in Malvern, PA seeks a Senior Databricks Developer with 7+ years of data engineering to design and enhance enterprise data pipelines. The role focuses on Databricks, AWS, PySpark, Python, and SQL to build scalable, cloud-native solutions and production-ready data platforms.

The ideal candidate will implement Delta Lake and Medallion architectures, optimize batch and streaming jobs, and work with cross-functional teams to deliver high-quality data solutions.

Qualifications

• 7+ years of data engineering across enterprise data platforms.
• 5+ years hands-on Databricks development in production environments.
• Strong Python, PySpark, and SQL for pipeline development.
• Extensive experience building pipelines within AWS.
• Deep knowledge of Delta Lake, Lakehouse, and Medallion Architecture (Bronze, Silver, Gold).
• Experience with AWS services such as S3, Glue, Lambda, EMR, Redshift, Kinesis, IAM, and CloudWatch.
• Solid understanding of Spark architecture, distributed processing, and performance tuning.
• Experience building scalable batch and streaming data pipelines.
• Understanding of data modeling and modern data warehousing concepts.

Responsibilities

• Design, develop, and maintain large-scale ETL/ELT pipelines using Databricks, PySpark, Python, and SQL.
• Build scalable data ingestion, transformation, and orchestration frameworks in AWS.
• Develop and support Delta Lake implementations and Medallion Architecture pipelines.
• Create and optimize batch and streaming pipelines for large data volumes.
• Utilize AWS services (S3, Glue, Lambda, EMR, IAM, Kinesis, Redshift) to support data workflows.
• Optimize Spark jobs, Delta tables, and Databricks workloads for performance and cost.
• Collaborate with data engineers, architects, analytics teams, and stakeholders.
• Implement data quality controls, monitoring, and operational support.
• Troubleshoot production issues across Databricks and AWS environments.
• Contribute to engineering best practices and platform modernization.

Skills

Databricks

Python

PySpark

SQL

AWS

Delta Lake

Medallion Architecture

ETL/ELT pipelines

Data engineering

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: Senior Databricks Developer
Location: Malvern, PA
Duration: 12 Months + Extension
Bill Rate: $81/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary:

We are seeking a Senior Databricks Developer with 7+ years of Data Engineering experience and deep expertise in Databricks, AWS, PySpark, Python, and SQL. This is a highly technical, hands-on engineering role within a data engineering team focused primarily on building, enhancing, and supporting enterprise data pipelines. The ideal candidate will have extensive experience developing cloud-native data solutions in AWS, implementing Delta Lake and Medallion architectures, and delivering scalable, production-grade data pipelines using Databricks. This is not a consulting role; we are looking for a developer who enjoys building and optimizing data platforms and solving complex data engineering challenges.

Responsibilities:

• Design, develop, and maintain large-scale ETL/ELT pipelines using Databricks, PySpark, Python, and SQL.
• Build scalable and highly reliable data ingestion, transformation, and orchestration frameworks within AWS.
• Develop and support Delta Lake implementations and Medallion Architecture (Bronze, Silver, Gold) data pipelines.
• Create and optimize batch and streaming pipelines that process large volumes of structured and unstructured data.
• Leverage AWS services including S3, Glue, Lambda, EMR, IAM, EventBridge, CloudWatch, Kinesis, and Redshift to support end-to-end data workflows.
• Optimize Spark jobs, Delta tables, and Databricks workloads for performance, scalability, and cost efficiency.
• Partner with Data Engineers, Architects, Analytics teams, and business stakeholders to deliver high-quality data solutions.
• Implement data quality controls, monitoring, alerting, and operational support processes.
• Troubleshoot and resolve complex production issues across Databricks and AWS environments.
• Contribute to engineering best practices, code reviews, automation, and platform modernization initiatives.

Required Qualifications:

• 7+ years of Data Engineering experience building enterprise-scale data platforms and pipelines.
• 5+ years of hands-on Databricks development experience in production environments.
• Strong expertise in Python, PySpark, and SQL with a focus on pipeline development.
• Extensive experience developing and supporting data pipelines within AWS.
• Strong knowledge of Delta Lake, Lakehouse Architecture, and Medallion Architecture (Bronze, Silver, Gold).
• Hands-on experience with AWS services such as S3, Glue, Lambda, EMR, Redshift, Kinesis, IAM, and CloudWatch.
• Deep understanding of Spark architecture, distributed data processing, performance tuning, partitioning, and optimization.
• Experience building highly scalable batch and streaming data processing solutions.
• Strong understanding of data modeling, data warehousing concepts, and modern data architectures.
• Experience supporting production environments, monitoring data pipelines, and troubleshooting complex data issues.

Preferred Qualifications:

• Experience with Databricks Workflows, Delta Live Tables (DLT), Unity Catalog, and Structured Streaming.
• Experience with Kafka, Airflow, or cloud-native orchestration frameworks.
• Experience implementing CI/CD pipelines using GitHub Actions, Jenkins, or Azure DevOps.
• Infrastructure as Code experience utilizing Terraform or CloudFormation.
• Databricks Certified Data Engineer Associate or Professional certification.
• Experience working within large enterprise AWS environments supporting mission-critical data platforms.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.