Databricks Data Engineer
Artificial Intelligence
Azure
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
Databricks
Engineer
ETL
Google Cloud
Informatica
Information Technology (IT)
Reporting and Analytics
Spark
SQL
Job Description
Deloitte is seeking a Databricks Data Engineer (Data Engineer II) to help design, build, and optimize cloud-based data engineering solutions using Databricks and supporting technologies. This onsite role in Rosslyn, VA focuses on enterprise data modernization, with work spanning batch and streaming pipelines that enable reporting, analytics, and artificial intelligence use cases.
In this position, you will apply data engineering practices to improve data quality, scalability, and platform performance, while partnering with client and Deloitte teams to troubleshoot issues and support large-scale data transformation programs.
Key Responsibilities
- Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and SQL.
- Support modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns.
- Develop and maintain batch and streaming data workflows for reporting, analytics, and AI use cases.
- Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance.
- Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics.
- 3+ years of experience in data engineering, extract-transform-load (ETL) development, or data platform engineering.
- 2+ years building data pipelines in Databricks using Apache Spark, Python, and SQL.
- Experience implementing data models, data integration patterns, and cloud-based data processing workflows.
- Experience working with at least one cloud platform: AWS, Microsoft Azure, or GCP.
- Ability to travel 50%, on average, based on work activities and client/industry needs.
- Limited immigration sponsorship may be available.
Preferred Qualifications
- Experience with Delta Lake, Databricks Workflows, and Unity Catalog.
- Experience using Git-based version control and CI/CD pipelines.
- Experience supporting batch and streaming data workloads.
- Experience with data warehousing, lakehouse architecture, and performance optimization.
- Experience supporting analytics or machine learning data pipelines.
- Experience working in consulting or client service delivery environments.
Technology Stack
- Databricks
- Apache Spark
- Python
- Structured Query Language (SQL)
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
About This Role
- Location: Rosslyn, VA (onsite)
- Salary range: USD 86,700 - 170,900 per year
- Experience level: Data Engineer II
What a Successful Candidate Brings
- Ability to work independently and collaborate as part of a team.
- Effective written and verbal communication skills.
- Meticulous attention to detail and quality of work product.
- Ability to build and sustain professional relationships.
- Ability to lead projects or workstreams.
- Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
- Strong interpersonal skills and professional demeanor.
- Ability to meet deadlines.
- Ability to provide clear guidance to others.
Similar Jobs