Senior Data Engineer - Remote Cloud Data Platform & AI

Actif.ai; United States; Hybrid; USD 130,000 - 180,000; Full time

Benefits offered by this job

Equity grants

Health insurance

Dental & Vision

401k matching

Generous PTO

Remote option

Job summary

Actifai is seeking experienced Senior Data Engineers to architect and build the next-generation cloud enterprise data platform. You will own the data lifecycle—from ingestion to governance—while delivering scalable solutions in a fast-paced environment.

Our team values ownership and rigorous engineering practices, with opportunities to impact real-world AI applications. We seek engineers with 5+ years in cloud-native data solutions, strong Python and SQL skills, and experience with Airflow, data

Qualifications

• At least 5+ years experience building cloud-native data solutions.
• Proven ability to write clean, scalable Python code and strong SQL understanding.
• Experience refactoring in-place data systems to modern standards; comfortable with messy real-world datasets.
• Advocate of engineering and operational excellence with strong ownership.
• Able to communicate software issues to business teams and vice versa.
• Excellent time management and ability to deliver modules across months.
• Attention to detail in both data and design.

Responsibilities

• Build and operate a big data platform powering our SaaS application.
• Deliver high-quality, scalable data solutions in a collaborative, fast-paced environment.
• Collaborate with other senior engineers on architecture and implementation.

Skills

Python

SQL

Communication

Time management

Ownership

Education

STEM degree

Tools

Airflow

Azure Data Factory

Google Cloud Storage

Azure Blob Storage

Postgres

SQL Server

BigQuery

Microsoft Fabric

Job description

Actifai is seeking experienced Senior Data Engineers to architect and build the next-generation cloud enterprise data platform. You will own the data lifecycle—from ingestion to governance—while delivering scalable solutions in a fast-paced environment.

Our team values ownership and rigorous engineering practices, with opportunities to impact real-world AI applications. We seek engineers with 5+ years in cloud-native data solutions, strong Python and SQL skills, and experience with Airflow, data