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# Data Engineer

- **Company:** Harnham Inc.
- **Location:** Colorado Springs, CO, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $115,000.0 - $145,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Transaction Data, Google Cloud, Informatica Powercenter, Apache Kafka, Data Pipelines, Api Management
- **Published:** October 9, 2026
- **Apply:** https://www.careerjet.com/job/usb42578cd0152776b599817b6b7331b6c/eaa

## About the Role

Must be able to work collaboratively with teams across Eastern and Central time zones, * 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

## Description

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.