Data Engineer
Job in
Minnie, Floyd County, Kentucky, 41651, USA
Listed on 2026-03-01
Listing for:
TheCorporate
Full Time
position Listed on 2026-03-01
Job specializations:
-
IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Job Description & How to Apply Below
Overview
Data Engineer. We are seeking a skilled Data Engineer to join our team and help design, build, and optimize data pipelines and architectures that power business intelligence, analytics, and data-driven decision-making. This role is fully remote within the United States.
The ideal candidate has strong experience in building scalable data systems, working with large datasets, and collaborating with cross-functional teams including analysts, data scientists, and software engineers.
Responsibilities- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
- Build and optimize data architectures to support analytics, reporting, and machine learning initiatives.
- Work with stakeholders to define data requirements and deliver solutions that meet business needs.
- Ensure data quality, integrity, and governance across systems and pipelines.
- Implement best practices for data modeling, warehousing, and storage solutions.
- Monitor, troubleshoot, and optimize data workflows for performance and reliability.
- Collaborate with engineering teams to integrate data solutions into applications and platforms.
- Stay updated on emerging data technologies and recommend improvements to existing processes.
Required:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
- 3+ years of experience as a Data Engineer or in a related data-focused role.
- Proficiency in SQL and data modeling.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Strong knowledge of data warehousing tools (e.g., Snowflake, Redshift, Big Query).
- Experience with ETL tools (e.g., dbt, Airflow, Talend, Informatica).
- Proficiency in at least one programming language (Python, Java, or Scala).
- Familiarity with big data frameworks (Spark, Hadoop, Kafka).
Preferred:
- Experience with containerization (Docker, Kubernetes).
- Knowledge of data governance and security best practices.
- Exposure to machine learning pipelines and data science workflows.
- Strong communication skills with the ability to work across technical and non-technical teams.
Skills:
data,machine learning,data modeling,pipelines
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