Data Engineer
Summary
Data Eminence is hiring an entry-level (0-2 years) Data Engineer to build and maintain ETL/ELT data pipelines, data warehouses/lakes, and cloud data infrastructure that support analytics. Day-to-day involves SQL optimization, Python scripting, data quality checks, and pipeline monitoring using PostgreSQL, MySQL, Git, Docker, and AWS/Azure/GCP.
Join Data Eminence as a remote Data Engineer and help build reliable data pipelines and infrastructure that power analytics and business decisions. You'll work with databases, ETL processes, cloud platforms, and data processing technologies to collect, transform, and organize data. Ideal for entry-level candidates with strong SQL and programming fundamentals.
Full Description
Data Eminence is seeking a motivated Data Engineer to join our growing data team. In this role, you will help design, develop, and maintain data pipelines and systems that make reliable data available to analysts, applications, and business teams.
You will collaborate with data analysts, software developers, database engineers, and business stakeholders to understand data requirements and build efficient data solutions.
Your key responsibilities will include:
- Developing and maintaining data pipelines and ETL/ELT workflows
- Collecting and transforming data from multiple sources
- Writing and optimizing SQL queries
- Working with relational and NoSQL databases
- Ensuring data quality, consistency, and reliability
- Building data processing and transformation workflows
- Monitoring data pipelines and troubleshooting failures
- Supporting data warehouse and data lake environments
- Documenting data pipelines, schemas, and processes
- Collaborating with analysts and developers on data requirements
- Implementing data validation and quality checks
- Supporting cloud-based data infrastructure
We believe in learning by doing. You'll gain hands-on experience with Python, SQL, PostgreSQL, MySQL, data warehouses, ETL tools, Git, Docker, and cloud platforms such as AWS, Azure, or Google Cloud.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field
- 0-2 years of experience in data engineering or a relevant internship
- Strong SQL skills
- Basic proficiency in Python or another programming language
- Good understanding of relational databases
- Familiarity with ETL/ELT concepts and data pipelines
- Understanding of data structures and data processing concepts
- Familiarity with Git and version control
- Exposure to cloud platforms is a plus
- Familiarity with data warehouses is beneficial
- Strong analytical and problem-solving skills
- Good communication and collaboration skills
- Ability to work independently in a remote environment
Benefits
- Competitive salary
- Fully remote work flexibility
- Paid time off and holidays
- Professional development opportunities
- Company-provided equipment
- Opportunities to work with modern data engineering and cloud technologies