Data Engineer

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

Fully Remote (U.S. Based)
Salary: Up to $135,000 Base Salary
Must be able to work collaboratively with teams across Eastern and Central time zones

Our client is seeking a Data Engineer to join a growing data team responsible for building and maintaining modern data solutions that drive business intelligence, analytics, and operational decision-making. This is an exciting opportunity to work with large-scale data sets, cloud technologies, and modern data platforms in a highly collaborative environment.

What You'll Be Doing

• Design, develop, and maintain scalable ETL/ELT pipelines that ingest and transform data from a variety of internal and external sources.
• Build reliable, high-quality datasets that support reporting, analytics, and business initiatives.
• Partner with cross-functional stakeholders, including analysts, engineers, and business teams, to deliver data solutions.
• Develop and optimize data models within cloud-based data warehouse environments.
• Implement data quality, monitoring, and validation processes to ensure data integrity.
• Support both batch and near real-time data processing workflows.
• Contribute to data governance, security, and compliance initiatives.

What We're Looking For

• 4+ years of Data Engineering experience.
• Strong SQL skills and experience with Python, Java, or Scala.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience working with modern data technologies such as Airflow, dbt, Kafka, Informatica IDMC, or similar tools.
• Strong understanding of data warehousing, data modeling, and ETL/ELT best practices.
• Excellent communication skills and ability to work in a remote, collaborative environment.

Preferred Experience

• Experience supporting large-scale customer, operational, or transactional data environments.
• Exposure to API integrations and third-party data sources.
• Experience supporting analytics, forecasting, personalization, or data science initiatives.

Requirements

• Must be authorized to work in the United States without sponsorship now or in the future
• U.S. Citizen or Green Card holder only
• Ability to work remotely within the United States
• Comfortable collaborating with teams across EST and CST time zones

Desired Skills and Experience

Data Engineer | Fully Remote (U.S.) | Up to $135K. Seeking a Data Engineer to build scalable ETL/ELT pipelines, modern data platforms, and cloud analytics solutions. U.S. Citizen or Green Card only