PROJECT - Data Engineer II
About The Position
Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for… Designing, developing, and maintaining batch and streaming data pipelines that support reporting, analytics, and artificial intelligence use cases Building and optimizing extract, transform, and load processes using SQL, Python, and data engineering frameworks Integrating data from structured and unstructured sources across cloud and on-premises environments Supporting data quality, validation, monitoring, and issue resolution activities for production data assets Collaborating with cross-functional teams to implement data models, improve platform performance, and support client delivery objectives
Requirements
- 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 and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a similar quantitative field
- 0-2 years of experience working in Agile delivery environments
- 1+ years of experience in extract, transform, and load architecture and development
- 1+ years of experience using Python and 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 the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Nice To Haves
- Experience supporting federal, state, or local government clients
- Experience with Apache Spark, Databricks, Snowflake, or Apache Airflow
- Experience with application programming interfaces and request handling
- Experience with Docker
- Experience supporting machine learning workflows
- Experience with Microsoft Azure SQL Server or Power Platform
Responsibilities
- Designing, developing, and maintaining batch and streaming data pipelines that support reporting, analytics, and artificial intelligence use cases
- Building and optimizing extract, transform, and load processes using SQL, Python, and data engineering frameworks
- Integrating data from structured and unstructured sources across cloud and on-premises environments
- Supporting data quality, validation, monitoring, and issue resolution activities for production data assets
- Collaborating with cross-functional teams to implement data models, improve platform performance, and support client delivery objectives
Benefits
- discretionary annual incentive program
- reasonable accommodations for people with disabilities
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
