Remote Data Engineer Mid-Level, Flexible Hours & Growth

Satalia; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

Satalia is seeking an experienced data engineer to build and operate end‑to‑end data pipelines, transforming raw inputs into dependable datasets for analytics, BI, and AI applications. You will work closely with data scientists and software engineers to shape data systems for a marketing intelligence environment.

You will design ETL/ELT pipelines, develop dbt models, and maintain data warehouses or lakehouses with robust testing, version control, and CI/CD practices.

Qualifications

• Experience building production data pipelines and working with a data warehouse or lakehouse.
• Strong SQL and Python skills, plus good habits around version control, testing, code review, and CI/CD.
• Experience with dbt or comparable data transformation practices.
• Familiarity with pipeline orchestration tools such as Airflow or Dagster.
• Hands-on experience with a cloud platform such as GCP or AWS.
• Ability to communicate technical designs clearly in writing.

Responsibilities

• Design and maintain production ETL/ELT pipelines that ingest, transform, and deliver data to downstream users and systems.
• Create SQL transformations and dbt models that are documented, tested, version-controlled, and reusable.
• Design and operate warehouse or lakehouse structures and relational databases to suit different access patterns.
• Set up orchestration, monitoring, data quality checks, and lineage to improve trust in datasets.
• Partner with data scientists and software engineers to support analytics, BI, and AI workflows.
• Document designs clearly for product managers and engineers.

Skills

SQL

Python

Data modeling

CI/CD

Tools

dbt

Airflow

Dagster

GCP

AWS

Docker

Job description

Satalia is seeking an experienced data engineer to build and operate end‑to‑end data pipelines, transforming raw inputs into dependable datasets for analytics, BI, and AI applications. You will work closely with data scientists and software engineers to shape data systems for a marketing intelligence environment.

You will design ETL/ELT pipelines, develop dbt models, and maintain data warehouses or lakehouses with robust testing, version control, and CI/CD practices.