Senior Data Engineer (AI)

Location: Remote in the United States; listed location Raleigh, North Carolina. Applicants must have US work authorization without current or future visa sponsorship requirements.

Annual salary: $134,000–$203,000 USD

Company

Technology consultancy helping clients solve complex business problems through software and data engineering.

What you will do

• Develop and operate modern data architectures and end-to-end data solutions.
• Build intricate data processing pipelines and data-centric applications for complex client problems.
• Collaborate with data scientists to design scalable implementations of machine learning models.
• Write clean, iterative code using test-driven development and continuous delivery practices.
• Use distributed storage and computing technologies to build scalable data platforms.
• Develop data models and contribute to data governance, security, privacy, and quality.

Requirements

• Hands-on experience building and operating data pipelines and maintaining data storage in distributed systems.
• Experience with data modeling, databases, data lakes, data schemas, and production-scale data applications.
• Experience with Python, SQL, ETL/data pipelines, Databricks, data warehousing, and Delta Lakes, including Snowflake, Redshift, or BigQuery.
• Experience with AWS, Azure, or GCP and with machine learning, AI, generative AI, or LLM technologies.
• Ability to communicate data insights, manage stakeholders, and collaborate with clients.
• Must have US work authorization without requiring current or future visa sponsorship.

Culture & Benefits

• Remote work with an inclusive and collaborative environment.
• Career development supported through interactive tools and development programs.
• Opportunities to coach, mentor, and influence technical direction.
• Commitment to continuous learning, technical excellence, diversity, and reasonable accommodations.

Hiring process

• Applications are reviewed by interviewers and hiring managers.
• Reasonable accommodations are available throughout the interview process.