ETL Data Engineer

BeaconFire Inc; California; On-site; USD 90,000 - 130,000; Full time

Job summary

BeaconFire Inc. in California is seeking a data analytics professional to collaborate with the analytics team and design scalable ETL/ELT processes. You will extract, transform, and load data from multiple databases to meet business needs.

You should have a Master’s degree in a relevant field and solid Python skills, with strong communication and the ability to work both independently and within a team. This role emphasizes data quality and scalable data solutions.

Qualifications

• Passion for data and a deep desire to learn.
• Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline.
• Intermediate Python; experience in data processing a plus (NumPy, Pandas).
• Experience with relational databases (SQL Server, Oracle, MySQL).
• Strong written and verbal communication skills.
• Ability to work both independently and as part of a team.

Responsibilities

• Collaborate with the analytics team to find reliable data solutions to meet the business needs.
• Design and implement scalable ETL or ELT processes to support the business demand for data.
• Perform data extraction, manipulation, and production from database tables.
• Build utilities, user-defined functions, and frameworks to better enable data flow patterns.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams to resolve operational & performance issues.
• Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.

Skills

Passion for data

Python (intermediate)

Strong communication

Independent and team player

Education

Master’s degree in CS/IT/Data Analytics/Data Science or related

Tools

SQL databases

Job description

Qualifications

• Passion for data and a deep desire to learn.
• Master’s Degree in Computer Science/Information Technology, Data Analytics/Data Science, or related discipline.
• Intermediate Python. Experience in data processing is a plus. (Numpy, Pandas, etc)
• Experience with relational databases (SQL Server, Oracle, MySQL, etc.)
• Strong written and verbal communication skills.
• Ability to work both independently and as part of a team.

Responsibilities

• Collaborate with the analytics team to find reliable data solutions to meet the business needs.
• Design and implement scalable ETL or ELT processes to support the business demand for data.
• Perform dataextraction, manipulation, and production from database tables.
• Buildutilities, user-defined functions, and frameworks to better enable data flow patterns.
• Build and incorporate automated unit tests, participate in integration testing efforts.
• Work with teams toresolve operational & performance issues.
• Work with architecture/engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to.