Remote Data Engineer — Ownership & Impact (Mid-Level)

Alder Forest; United States; Remote; USD 90,000 - 125,000; Full time

Job summary

Alder Forest is seeking a Remote Data Engineer (Mid-Level) to design, build, and optimize ELT pipelines powering analytics and data products. The role offers ownership of end-to-end data flows in a multi-tenant Databricks environment, with emphasis on reliability and fast iteration.

We value Python and SQL proficiency, Spark/PySpark experience, and a collaborative mindset. This remote position supports working from the UK, France, or selected EU countries, with a strong focus on data quality and

Qualifications

• 3–5 years of data engineering experience.
• Strong Python and SQL skills required.
• Experience with Spark / PySpark and Databricks.
• Experience with CI/CD and data testing tools.

Responsibilities

• Build and maintain ELT pipelines and monitor data freshness.
• Deploy workflows to Databricks in a multi-tenant environment.
• Collaborate with data and product teams to deliver reliable data.
• Contribute to platform standards and documentation.

Skills

Python

SQL

Spark / PySpark

Databricks

Data pipelines

CI/CD

AWS

Great Expectations

Git

Tools

Databricks

Apache Spark

Git

AWS

Streaming/CDC

Job description

Alder Forest is seeking a Remote Data Engineer (Mid-Level) to design, build, and optimize ELT pipelines powering analytics and data products. The role offers ownership of end-to-end data flows in a multi-tenant Databricks environment, with emphasis on reliability and fast iteration.

We value Python and SQL proficiency, Spark/PySpark experience, and a collaborative mindset. This remote position supports working from the UK, France, or selected EU countries, with a strong focus on data quality and