Senior Data Engineer, Remote — Build Scalable Energy Data Platform

Arcadia; United States; Remote; USD 131,000 - 235,000; Full time

Benefits offered by this job

Remote first

Flexible PTO

12 company-wide holidays

Parental leave

Medical, dental, vision benefits

Volunteer days

Job summary

Arcadia is hiring a Senior Data Engineer to build clean, organized data sets used across the company. You will design and optimize data models, pipelines, and analytics assets, partnering with product, engineering, and business teams.

The role emphasizes reliability, observability, and scalable data infrastructure. You will work with Snowflake, dbt, Fivetran, and AWS-based systems, applying best practices in data governance, security, and collaboration.

Qualifications

• 4+ years as a Senior Data Engineer or Software Engineer building production data infrastructure.
• 6+ years in the data space (data engineering, data science, analytics, or similar).
• Expert-level understanding of conceptual data modeling and data mart design.
• Proficiency in SQL and strong Python skills, especially in data orchestration.

Responsibilities

• Design, build, and maintain data tooling and pipelines used by the Data team.
• Optimize data pipelines for performance, scalability, and reliability.
• Collaborate with engineers, PMs, and domain experts to model data into meaningful structures.
• Transform, test, deploy, and document data for trustworthy analytics.
• Apply engineering best practices to ensure data integrity and modularity.

Skills

SQL

Python

Data modeling

ETL/ELT

Snowflake

dbt

Airflow/Orchestration

Collaboration

Leadership

Education

Graduate degree in math, statistics, engineering, computer science, or related technical field

Tools

Snowflake

dbt

Fivetran

Argo

Prefect

Airflow

Job description

Arcadia is hiring a Senior Data Engineer to build clean, organized data sets used across the company. You will design and optimize data models, pipelines, and analytics assets, partnering with product, engineering, and business teams.

The role emphasizes reliability, observability, and scalable data infrastructure. You will work with Snowflake, dbt, Fivetran, and AWS-based systems, applying best practices in data governance, security, and collaboration.