PROJECT - Data Engineer II
Indexed description
Work you'll do
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
- 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
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
- 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.
- 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
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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