PROJECT - Data Engineer II
Apache Airflow
Artificial Intelligence
Azure
Big Data
Bigdata
Cloud
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Infrastructure
Cloud Native
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Databricks
DevOps
Devops Tools
DevSecOps
Engineering
ETL
Informatica
Information Technology (IT)
Infrastructure
Infrastructure As Code
Platform Engineering
Reporting and Analytics
SQL
Job Description
On Deloitte’s AI & Data team, this Project Data Engineer II role focuses on building and maintaining batch and streaming data pipelines that power reporting, analytics, and artificial intelligence use cases.
Responsibilities
- Design, develop, and maintain batch and streaming data pipelines for reporting, analytics, and AI use cases
- Build and optimize extract, transform, and load (ETL) processes using SQL, Python, and data engineering frameworks
- Integrate data from structured and unstructured sources across cloud and on-premises environments
- Support data quality activities including validation, monitoring, and issue resolution for production data assets
- Collaborate cross-functionally to implement data models, improve platform performance, and support client delivery objectives
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a similar quantitat ive field
- 0-2 years of experience working in Agile delivery environments
- 1+ years of experience with ETL architecture and development
- 1+ years of experience using Python and SQL (Structured Query Language) to build or support data pipelines
- 1+ years of experience working with relational database management systems
- Ability to travel 0-10% on average, based on work, clients, and industries/sectors served
- Legally authorized to work in the United States without employer sponsorship, now or in the future
Technologies
- SQL, Python, Structured Query Language
- Apache Spark, Databricks, Snowflake
- Apache Airflow
- Docker
- Microsoft Azure SQL Server
- Power Platform
Preferred
- Experience supporting federal, state, or local government clients
- Experience with Apache Spark, Databricks, Snowflake, or Apache Airflow
- Experience with application programming interfaces (APIs) and request handling
- Experience with Docker
- Experience supporting machine learning workflows
- Experience with Microsoft Azure SQL Server or Power Platform
Additional success factors
- Work independently and collaborate as part of a team
- Strong 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 environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Project delivery model
- Team members deliver client services without additional expectations related to business development or promotion
- Employment is tied to project role, with eligibility for a competitive benefits package for project delivery-focused professionals
Compensation
Estimated wage range: USD 71,300 - 140,600 per year.
Location: Boston, MA (onsite)
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