Data Engineer

A fast-growing AI solutions company is looking for a

Data Engineer

to help power cutting-edge AI systems used by enterprises, governments, and top tech companies. You’ll play a key role in designing, optimizing, and maintaining data pipelines, working in a highly dynamic environment that thrives on innovation. Responsibilities:

Build, optimize, and maintain scalable

ETL pipelines Develop and enhance

data lakes and data warehouses

(e.g., Snowflake, Databricks) Collaborate with engineers and clients to refine

data processing workflows Conduct

code and design reviews

to maintain high-quality data infrastructure Mentor junior engineers and contribute to technical discussions Travel up to

30%

for meetings with clients (as needed) Minimum Requirements:

3+ years

of experience in software development or Big Data Strong knowledge of

Python

and

PySpark Hands-on experience with

ETL frameworks

(e.g., dbt) Experience with

AWS services

(IAM, S3, Security Groups) Proficiency in

Infrastructure-as-Code (Terraform, etc.) Ability to communicate effectively and work in a

fast-paced environment Benefits & Salary:

Salary:

$109,000 - $121,000 (dependent on location and experience) Equity options for senior-level hires Remote-first

with flexible work arrangements Comprehensive

health, dental, and vision insurance Learning & development stipends ️Generous

PTO & paid holidays

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