Senior Data Engineer - Remote, AI-Ready Data Platforms

Aimpoint Digital; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.

Aimpoint Digital seeks a seasoned data architect/engineer to translate business questions into scalable data architectures, build AI-optimized platforms, and write production-grade code in SQL, Python, and

Qualifications

• Degree in CS/Engineering/Math or equivalent experience with 5+ years in relational databases, data pipelines, data modeling, and production coding.
• Experience with cloud data warehouses (Databricks or Snowflake) and cloud ETL/ELT tools; DevOps best practices.
• Strong stakeholder management, written and verbal communication skills, and ability to work independently or lead a small team.

Responsibilities

• Become a trusted data and AI advisor to clients across industries, helping translate business questions into AI-ready data architectures.
• Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, ETL/ELT pipelines, orchestration jobs, and analytic layers.
• Write production-ready code in SQL, Python, and Spark, and contribute to the evolution of the AI-forward data engineering practice.

Skills

SQL

Python

Spark

Data modeling

ETL/ELT pipelines

Education

BS in CS/Engineering/Math

Tools

Databricks

Snowflake

Job description

Aimpoint Digital is a fully remote AI and Data consultancy that partners with clients to design end-to-end analytical solutions and AI-ready data architectures. The company is a dynamic, growing team that blends modern tools with proven principles to deliver optimal data engineering outcomes.

Aimpoint Digital seeks a seasoned data architect/engineer to translate business questions into scalable data architectures, build AI-optimized platforms, and write production-grade code in SQL, Python, and