PROJECT - Data Engineer II

Role overview

Work you'll do

• Design, develop, and maintain batch and streaming data pipelines for reporting, analytics, and AI use cases.
• Build and optimize ETL processes using SQL, Python, and data engineering frameworks.
• Integrate structured and unstructured data across cloud and on-premises environments.
• Support data quality, validation, monitoring, and production data issue resolution.
• Collaborate on data models, platform performance, and client delivery objectives.

Required qualifications

• 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.
• At least 1 year of experience in ETL architecture and development, Python and SQL data pipelines, and relational database management systems.
• Must be legally authorized to work in the United States without current or future employer sponsorship.
• Ability to travel 0–10% on average, depending on work and clients.

Candidate skills

• Work independently and collaborate as part of a team; communicate effectively and build professional relationships.
• Manage and prioritize tasks, meet deadlines, provide clear guidance, and maintain attention to quality.
• Preferred experience: government clients; Apache Spark, Databricks, Snowflake, or Apache Airflow; APIs; Docker; machine learning workflows; Azure SQL Server; or Power Platform.

Team context

Compensation

• The disclosed estimated wage range is $71,300 to $140,600 per year; geographic differentials may apply.
• The role may also be eligible for a discretionary annual incentive, subject to program rules and performance factors.