Data Engineer – Cloud & Data Modernization

Reveal Global Consulting LLCFulton, MD
5h

About The Position

We are seeking an experienced Data Engineer to support enterprise data modernization and cloud migration initiatives. This role focuses on re-engineering legacy databases, optimizing ETL pipelines, and implementing modern cloud-based data solutions. The ideal candidate will have strong expertise in SQL/NoSQL platforms, Python, PySpark, and AWS cloud services, enabling scalable, high-performance, and efficient data workflows.

Requirements

  • 3+ years of experience with PostgreSQL, Oracle, Iceberg, Databricks, and Data Lake platforms.
  • 3+ years of experience building ETL pipelines and performing data ingestion and transformation using Python and PySpark.
  • 2+ years hands-on experience with AWS services: Lambda, Glue, SNS, SQS, Kafka, EventBridge, Step Functions, S3, Aurora.
  • 3+ years supporting both on-premises and cloud environments.
  • Strong expertise in SQL/NoSQL query optimization, performance tuning, and data refactoring.
  • Experience migrating legacy databases and converting stored procedures.
  • Proven ability to design scalable, efficient ETL pipelines.

Nice To Haves

  • Familiarity with DevOps tools: Terraform, Git, Docker, Jenkins, and Infrastructure as Code (IaC).
  • Experience with container platforms: OpenShift, AWS EKS, Kubernetes, or AWS ECS.
  • Knowledge of workflow orchestration tools like Airflow.
  • Experience implementing CI/CD pipelines for cloud deployments.
  • Bachelor’s degree in Science, Information Technology, Engineering, or equivalent experience.
  • Preferred certifications: Databricks Certified Data Engineer AWS Certified Solutions Architect Oracle Certifications

Responsibilities

  • Design, develop, and optimize complex data queries and ETL pipelines for migration initiatives.
  • Migrate legacy databases (e.g., Oracle) to modern cloud architectures.
  • Implement and automate data transformation workflows using Python and PySpark on Databricks, Iceberg, and Data Lake platforms.
  • Develop serverless and NoSQL database solutions with optimized query performance.
  • Collaborate with business and application stakeholders to optimize data retrieval and performance.
  • Support DevOps and CI/CD processes for data platform deployments.
  • Assist with enterprise data modernization initiatives as required.

Benefits

  • Medical/Prescription Drug Plan
  • Dental Plan
  • Vision Plan
  • Basic Life Insurance
  • Accidental Death & Dismemberment Insurance
  • Short Term Disability Insurance
  • Long-Term Disability Insurance
  • 401K Retirement Plan
  • Flexible Spending
  • Employee Assistance Program (EAP)
  • Paid time off and Holidays
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