Sr. Databricks Engineer

Transcend IT Solutions; Malvern (Chester County); On-site; USD 140,000 - 190,000; Full time

Job summary

Transcend IT Solutions in Malvern, PA seeks a Sr. Databricks Engineer to design and maintain scalable data pipelines using PySpark, Databricks, and AWS Glue for enterprise data platforms.

You will migrate legacy workloads from EMR to Databricks, implement CI/CD, and collaborate with analysts to ensure data availability and integrity powering finance engines and reporting ecosystems.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Strong hands-on experience with Apache Spark and Glue.
• Proven ability to work with Python-based data pipelines.
• Experience with Git and GitHub Actions is mandatory.

Responsibilities

• Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.
• We are seeking high-caliber Data Engineers to drive data analysis projects, migrate jobs from EMR to Databricks, create strong job aids and train analysts.

Skills

Python

Apache Spark (PySpark)

AWS Glue ETL

Databricks

Sagemaker

Data Lake concepts

CI/CD with GitHub Actions

Education

Bachelor’s degree in Computer Science

Tools

Git

GitHub Actions

CloudFormation/Terraform

SQL

Job description

Job Title

Sr. Databricks Engineer

Location

Malvern, PA

Core Competencies

• Python, Apache Spark (PySpark), AWS Glue ETL, Data Lake concepts (Medallion Architecture), Databricks, Sagemaker.

Infrastructure

• CloudFormation/Terraform, CI/CD with GitHub Actions.

Core Responsibilities

• Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.

Technical Stack & Requirements

• Core Competencies: Python, Apache Spark (PySpark), AWS Glue ETL, Data Lake concepts (Medallion Architecture), Databricks, Sagemaker.
• Infrastructure: CloudFormation/Terraform, CI/CD with GitHub Actions.
• Core Responsibilities: Orchestrate data extraction from diverse legacy and modern sources, engineer high-performance scalable pipelines, and provide expert-level production support to ensure system reliability.

Qualifications

• Bachelor’s degree in Computer Science or related field.
• Strong hands-on experience with Apache Spark and Glue.
• Proven ability to work with Python-based data pipelines.
• Experience with Git and GitHub Actions is mandatory. Required Qualifications
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
• 5-7+ years of enterprise Data Engineering experience.
• Strong Python development experience.
• Advanced SQL programming skills.
• Extensive experience with Apache Spark and PySpark.
• Strong experience with Databricks application.
• Hands-on experience with AWS data services including: o S3 o AWS Glue o Athena o Lambda o Step Functions o EventBridge
• Experience building enterprise ETL and ELT pipelines.
• Strong understanding of distributed data processing.
• Experience working with large-scale cloud data platforms.
• Strong knowledge of dimensional data modeling.
• Experience implementing CI/CD pipelines.
• Familiarity with Agile/Scrum methodologies.
• Excellent communication and stakeholder management skills.

Preferred Qualifications

• Financial Services or Asset Management industry experience.
• Knowledge of Apache Iceberg, Delta Lake, or Hudi.
• Experience with Airflow.
• Knowledge of Kafka or Kinesis streaming.
• Experience supporting AI/ML and advanced analytics platforms.
• AWS Professional or Specialty Certifications.

Job Responsibilities

We are seeking high-caliber Data Engineers to drive data analysis projects, Migrate jobs from EMR to Databricks,create strong job aids and train analysts. In this pivotal role, you will implement and optimize sophisticated data pipelines, partnering with business analysts to guarantee the seamless availability and absolute integrity of data powering our core financial engines and reporting ecosystems.