Cloud Data Engineer

Job Title: Cloud Data Engineer
Location: Nashville, TN
Duration: Contract

Job Description:

We are seeking a highly skilled Cloud Data Engineer with strong experience in Databricks, Snowflake, PySpark, and cloud-native data engineering technologies. The ideal candidate will work closely with financial services clients to design, build, and optimize scalable data platforms, ETL pipelines, and modern data lakehouse solutions.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines using Databricks, Snowflake, PySpark, Python, and SQL.

• Build and manage ETL workflows for ingesting, transforming, and processing large-scale datasets from multiple data sources.

• Work with cloud-native data services such as AWS Glue, Azure Data Factory, or similar technologies.

• Support data analysis, discovery, and reporting initiatives across financial services and risk/compliance domains.

• Develop and optimize data warehouse and lakehouse architectures.

• Evaluate and implement modern query engines, catalogs, and storage formats including Apache Iceberg and Dremio.

• Collaborate with architects, stakeholders, and engineering teams in an Agile/Sprint environment.

• Perform peer reviews, testing, validation, and deployment activities using Git/GitHub.

• Document technical findings, implementation approaches, and outcomes in Confluence or related tools.

• Ensure data security, governance, and access management using role-based policies.

Required Skills:

• 5+ years of experience in Data Engineering.

• Strong hands-on experience with Databricks and Snowflake.

• 3+ years of experience with PySpark/Spark.

• Strong programming skills in Python or Java.

• Advanced SQL development and optimization skills.

• Experience building and maintaining enterprise ETL/Data pipelines.

• Strong understanding of Data Warehousing and Data Modeling concepts.

• Experience with AWS, Azure, or Google Cloud Platform cloud platforms.

• Experience with GitHub/Git version control.

• Strong analytical, troubleshooting, and communication skills.

Preferred Skills:

• Experience with Apache Iceberg, Dremio, or Lakehouse platforms.

• Experience in financial services, investment management, risk, or compliance data.

• Exposure to streaming/data movement technologies.

• Experience working in Agile/Scrum delivery models.

Education:

Bachelor s degree in Computer Science, Information Systems, Engineering, or related field preferred.

Work Environment:

• Collaborative Agile team environment

• Opportunity to work with modern cloud data technologies

• Client-facing role supporting enterprise financial services initiatives