Sr. Data Engineer

Apolis; Santa Monica (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Apolis in Santa Monica is seeking a senior Data/Analytics Engineer with 10+ years of experience to design and optimize data platforms. You will work across cloud environments, implement SQL-based transformations, and collaborate with stakeholders to deliver scalable data solutions.

The role emphasizes hands-on workflow orchestration (Airflow, Dagster, Prefect) and strong communication. Experience with AI frameworks is a plus.

Qualifications

• 10+ years of experience in Data Engineering or Analytics Engineering.
• Bachelor’s degree or higher in Computer Science, Information Systems, Data Engineering, or related field.
• Strong experience with modern cloud data platforms, SQL, data modeling, and performance tuning.
• Experience with SQL-based data transformation frameworks.
• Hands-on experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or equivalent.
• Experience with GitHub and CI/CD tools.
• Familiarity with AWS, Azure, or GCP cloud services.
• Experience with AI/agentic frameworks is a strong plus.
• Excellent communication, collaboration, and stakeholder‑management skills.

Skills

Data Engineering

Analytics Engineering

SQL

Data Modeling

Performance Tuning

ETL / SQL Transformations

Airflow

Dagster

Prefect

GitHub

CI/CD

AWS

Azure

GCP

AI Frameworks

Stakeholder Management

Education

Bachelor’s degree or higher in Computer Science, Information Systems, Data Engineering, or related field

Tools

Airflow

Dagster

Prefect

GitHub

Job description

Duration: 12+ Months (Potential Extension)

Role Overview

Key Responsibilities & Required Skills:

• 10+ years of experience in Data Engineering or Analytics Engineering
• Bachelor’s degree or higher in Computer Science, Information Systems, Data Engineering, or related field
• Strong experience with modern cloud data platforms, SQL, data modeling, and performance tuning
• Experience with SQL-based data transformation frameworks
• Hands‑on experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or equivalent
• Experience with GitHub and CI/CD tools
• Familiarity with AWS, Azure, or GCP cloud services
• Experience with AI/agentic frameworks is a strong plus
• Excellent communication, collaboration, and stakeholder‑management skills