Data Engineer

Cobalt Summit Inc.; Jacksonville (FL); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Cobalt Summit Inc., a Jacksonville, FL-based company, seeks a Data Engineer for a FULL_TIME position. You will design, build, and maintain data infrastructure and pipelines in a collaborative, innovate environment in Jacksonville, FL.

Requirements include a Bachelor's degree in Computer Science, Data Science, or related field, along with experience in Python, SQL, and data warehousing tools such as Snowflake or BigQuery.

Qualifications

• A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proven experience as a Data Engineer or similar role, with a strong background in data processing and ETL.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing tools like Amazon Redshift, Google BigQuery, or Snowflake.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Strong problem-solving skills and the ability to work independently and as part of a team.

Responsibilities

• Design, build, and maintain data infrastructure to handle large-scale data processing.
• Develop and implement data pipelines to collect, transform, and load data from various sources.
• Ensure the performance, quality, and reliability of data systems.
• Collaborate with data scientists and analysts to translate business requirements into technical solutions.
• Optimize data infrastructure to improve performance and reduce costs.
• Stay up-to-date with the latest trends and technologies in the data engineering field.

Skills

Python

SQL

ETL

Data Warehousing

Snowflake

BigQuery

AWS

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Snowflake

BigQuery

Amazon Redshift

AWS

Job description

Cobalt Summit Inc., a Jacksonville, FL-based company, seeks a Data Engineer for a FULL_TIME position. The role involves designing, building, and maintaining data infrastructure and pipelines. Salary is negotiable, and the position is open until November 23, 2026.

As a Data Engineer, you'll design and implement data pipelines, optimize data storage and retrieval, and ensure data quality and integrity. You'll also collaborate with cross-functional teams to understand data requirements and deliver solutions.

You'll join a team of talented professionals in Jacksonville, FL, working in a dynamic and innovative environment. The workplace is in Jacksonville, FL, and you'll be part of a collaborative team.

The salary for this position is negotiable, taking into account various factors such as the candidate's experience, qualifications, and the specific responsibilities of the role. In addition to the base salary, the company offers a comprehensive benefits package that includes health insurance, retirement plans, and opportunities for professional development. Health insurance covers medical, dental, and vision care, providing employees with access to quality healthcare services. Retirement plans, such as a 401(k) or pension scheme, allow employees to save and invest for their future. Professional development opportunities may include training programs, workshops, and access to online learning resources, enabling employees to enhance their skills and advance their careers. The exact compensation and benefits will be discussed in detail during the hiring process, ensuring that the candidate's needs and expectations are met.

You should have a Bachelor's degree in Computer Science, Data Science, or a related field. Experience with data warehousing tools like Snowflake or BigQuery is required. Proficiency in Python and SQL is essential.

What you will do:

• Design, build, and maintain efficient, reusable, and reliable data infrastructure to handle large-scale data processing.
• Develop and implement data pipelines to collect, transform, and load data from various sources.
• Ensure the performance, quality, and reliability of our data systems.
• Collaborate with data scientists and analysts to translate business requirements into technical solutions.
• Optimize our data infrastructure to improve performance and reduce costs.
• Stay up-to-date with the latest trends and technologies in the data engineering field.

What we need:

• A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Proven experience as a Data Engineer or similar role, with a strong background in data processing and ETL.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing tools like Amazon Redshift, Google BigQuery, or Snowflake.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Strong problem-solving skills and the ability to work independently and as part of a team.