Remote Data Engineer: ETL/ELT & Cloud Analytics

Harnham; Colorado Springs (CO); Remote; USD 100,000 - 135,000; Full time

Job summary

Harnham is seeking a Data Engineer to join its growing data team. The role focuses on building and maintaining scalable ETL/ELT pipelines, creating reliable datasets for BI and analytics, and partnering with cross-functional teams to deliver data solutions.

You will work with cloud platforms to optimize data models and governance, enabling data-driven decisions in a fully remote US-based environment. The position requires 4+ years of data engineering experience, strong SQL, proficiency in

Qualifications

• 4+ years of Data Engineering experience.
• Strong SQL and programming in Python, Java, or Scala.
• Hands-on experience with cloud platforms (AWS/Azure/GCP).
• Experience with modern data technologies (Airflow, dbt, Kafka, Informatica IDMC).
• Strong understanding of data warehousing, data modeling, and ETL/ELT best practices.
• Excellent communication and remote collaboration skills.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines ingesting data from various sources.
• Build reliable datasets for reporting and analytics.
• Collaborate with analysts, engineers, and business teams to deliver data solutions.
• Develop and optimize data models in cloud data warehouses.
• Implement data quality, monitoring, and validation processes.

Skills

4+ years data engineering

SQL

Python/Java/Scala

Cloud platforms (AWS/Azure/GCP)

Airflow/dbt/Kafka/Informatica IDMC

Data warehousing/data modeling/ETL

Communication in remote teams

Tools

Airflow

dbt

Kafka

Informatica IDMC

Job description

Harnham is seeking a Data Engineer to join its growing data team. The role focuses on building and maintaining scalable ETL/ELT pipelines, creating reliable datasets for BI and analytics, and partnering with cross-functional teams to deliver data solutions.

You will work with cloud platforms to optimize data models and governance, enabling data-driven decisions in a fully remote US-based environment. The position requires 4+ years of data engineering experience, strong SQL, proficiency in