Senior Data Engineer - Remote Cloud Data Platform

Actif.ai; United States; Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive compensation with bonuses/

Health/vision/dental insurance

401k matching

Generous PTO

Remote work & office in DC

Job summary

Actifai, a pioneering AI company, seeks experienced Senior Data Engineers to architect and build our enterprise data platform. You will own data lifecycle, ingestion, storage, querying, quality, operations and governance, delivering scalable solutions for our SaaS products.

Ideal candidates bring 5+ years in cloud-native data engineering, Python and SQL expertise, and a proven ability to modernize data systems. The role offers a hybrid setup with an office in downtown Washington, D.C.

Qualifications

• Degree in a STEM discipline or equivalent practical work experience.
• 5+ years of experience building cloud-native data solutions (GCP/Azure).
• Strong Python programming and SQL understanding.
• Experience with data ingestion, storage, queries, quality, governance.

Responsibilities

• Build and operate a big data platform powering SaaS applications.
• Deliver scalable, high-quality data solutions in a fast-paced environment.
• Collaborate with senior engineers and communicate across teams.

Skills

Cloud-native data solutions

Python programming

SQL understanding

Airflow

Azure Data Factory

BigQuery

PostgreSQL

SQL Server

Google Cloud Storage

Azure Blob Storage

Data governance

Education

Degree in STEM

Tools

Airflow

Azure Data Factory

BigQuery

Microsoft Fabric

PostgreSQL

SQL Server

Google Cloud Storage

Azure Blob Storage

Job description

Actifai, a pioneering AI company, seeks experienced Senior Data Engineers to architect and build our enterprise data platform. You will own data lifecycle, ingestion, storage, querying, quality, operations and governance, delivering scalable solutions for our SaaS products.

Ideal candidates bring 5+ years in cloud-native data engineering, Python and SQL expertise, and a proven ability to modernize data systems. The role offers a hybrid setup with an office in downtown Washington, D.C.