Remote Data Engineer — Scalable Pipelines & Analytics

Insight 42; United States; Remote; USD 73,000 - 106,000; Full time

Benefits offered by this job

No commute / remote work in Germany

Competitive compensation

Growth opportunities

Job summary

Insight42, a data platform company, is hiring a Data Engineer (m/f/d) to join a growing distributed team. You will design and build high-performance data pipelines and architectures that deliver data to analytics, AI, and product teams across Europe.

Requirements include 3+ years in data engineering, Python or Scala, data warehousing (BigQuery, Snowflake, or Redshift), ETL tools (Airflow, dbt, Prefect), SQL and IaC/CI/CD. English fluency is required; German is a plus.

Qualifications

• 3+ years of experience as a Data Engineer or similar
• Strong programming in Python or Scala
• Experience with data warehousing (BigQuery, Snowflake, or Redshift)
• Proficiency with ETL tools and workflow orchestration (Airflow, dbt, or Prefect)
• Solid understanding of SQL and schema design principles
• Experience working with IaC and CI/CD for data infrastructure
• Fluent communication in English; German is a plus

Responsibilities

• Develop and maintain robust data pipelines and ETL processes
• Build and optimize data models for analytics and reporting
• Work with cloud-based data environments (Azure, GCP, or AWS)
• Ensure data quality, consistency, and governance with standards
• Collaborate with analytics, DevOps, and product engineering teams
• Monitor and optimize data systems for performance and scalability

Skills

Python

Scala

SQL

Data modeling

Data governance

CI/CD

Airflow

dbt

Prefect

Tools

BigQuery

Snowflake

Redshift

Airflow

dbt

Prefect

Job description

Insight42, a data platform company, is hiring a Data Engineer (m/f/d) to join a growing distributed team. You will design and build high-performance data pipelines and architectures that deliver data to analytics, AI, and product teams across Europe.

Requirements include 3+ years in data engineering, Python or Scala, data warehousing (BigQuery, Snowflake, or Redshift), ETL tools (Airflow, dbt, Prefect), SQL and IaC/CI/CD. English fluency is required; German is a plus.