Data Engineer
Harnham Inc.
Colorado Springs, CO, United States
1 day ago
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Apply on www.careerjet.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$115,000.0 - $145,000.0
Working hours
Regular working hours
Job source
Tech stack
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)
+10 more
Data Systems
Data Warehousing
Database Queries
Python (Programming Language)
Transaction Data
Google Cloud
Informatica Powercenter
Apache Kafka
Data Pipelines
Api Management
Job 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.
Requirements
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
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerjet.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this role…