Data Engineer I

Emonics LLC; Sacramento (CA); On-site; USD 70,000 - 90,000; Full time

Job summary

Emonics LLC in Sacramento is seeking a motivated Junior Data Engineer to help build and maintain reliable data pipelines, transform raw data into usable datasets, and support analytics initiatives.

You will work with SQL databases, Python, and cloud-based platforms, perform data quality checks, document processes, and collaborate with Analysts and Senior Engineers. A Bachelor's in CS or related field is required.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Strong understanding of SQL and relational databases.
• Basic to intermediate knowledge of Python.
• Understanding of ETL/ELT concepts and data pipelines.
• Familiarity with Git/version control.
• Good problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Responsibilities

• Develop, maintain, and monitor data pipelines and ETL/ELT processes.
• Extract, clean, transform, and validate data from multiple sources.
• Write and optimize SQL queries for data processing and analysis.
• Use Python or similar programming languages for data automation and transformation.
• Work with databases, data warehouses, and cloud-based data platforms.
• Perform data quality checks and troubleshoot data pipeline issues.
• Collaborate with Data Analysts, Data Scientists, and Senior Data Engineers.
• Assist in designing scalable and reliable data solutions.
• Document data processes, pipelines, and technical procedures.
• Continuously learn and adopt new data engineering tools and technologies.

Skills

SQL

Python

Data pipelines

Problem solving

Teamwork

Education

Bachelor's degree (CS/IT/Engineering/Data Science or related)

Tools

Git

Job description

We are looking for a motivated Junior Data Engineer to join our data team. The ideal candidate will help build and maintain reliable data pipelines, transform raw data into usable datasets, and support data integration and analytics initiatives.

Key Responsibilities

• Develop, maintain, and monitor data pipelines and ETL/ELT processes.
• Extract, clean, transform, and validate data from multiple sources.
• Write and optimize SQL queries for data processing and analysis.
• Use Python or similar programming languages for data automation and transformation.
• Work with databases, data warehouses, and cloud-based data platforms.
• Perform data quality checks and troubleshoot data pipeline issues.
• Collaborate with Data Analysts, Data Scientists, and Senior Data Engineers.
• Assist in designing scalable and reliable data solutions.
• Document data processes, pipelines, and technical procedures.
• Continuously learn and adopt new data engineering tools and technologies.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
• Strong understanding of SQL and relational databases.
• Basic to intermediate knowledge of Python.
• Understanding of ETL/ELT concepts and data pipelines.
• Familiarity with Git/version control.
• Good problem-solving and analytical skills.
• Strong communication and teamwork abilities.