Data Engineer

GetJobSmart; Atlanta (GA); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Professional development

Job summary

Redwood Global Group, a leading financial services firm in Atlanta, GA, is seeking a Data Engineer to design, build, and maintain data pipelines and warehouses. The role emphasizes data quality, security, and performance, with collaboration across data scientists, analysts, and developers.

Candidates should have a Bachelor’s degree in CS/Engineering/Math, 3+ years in data engineering, and strong SQL, Python, and Spark/Hadoop skills. Cloud exposure (AWS/GCP) is a plus.

Qualifications

• Bachelor's degree in CS, Engineering, Math, or related field.
• 3+ years in data engineering or similar role.
• Proven expertise in SQL, Python, and data processing frameworks like Spark/Hadoop.
• Experience with cloud platforms such as AWS or GCP is a plus.

Responsibilities

• Design, build, and maintain data pipelines to collect, process, and analyze data from various sources.
• Develop and implement data models and algorithms to transform raw data into insights.
• Ensure the integrity, security, and performance of data infrastructure.
• Collaborate with data scientists, analysts, and developers to deliver data-driven solutions.
• Monitor and optimize data workflows to improve efficiency and reduce costs.
• Document processes and create training materials for the team.

Skills

SQL

Python

Data modeling

Education

Bachelor's degree

Tools

Apache Spark

Hadoop

AWS

GCP

Job description

Redwood Global Group, a leading financial services firm, is hiring a Data Engineer in Atlanta, GA. This full-time position involves building and maintaining data infrastructure to ensure data reliability and accessibility. Salary is negotiable.

As a Data Engineer, you will design, implement, and maintain data pipelines, ETL processes, and data warehouses. You will also optimize data storage and retrieval, and ensure data quality and integrity.

You will collaborate with cross-functional teams, including data scientists, analysts, and developers, to leverage their expertise and insights. This collaboration will involve working closely with data scientists to understand and interpret complex data sets, with analysts to develop and refine data models, and with developers to implement and deploy data-driven solutions. The workplace is in Atlanta, GA, known for its vibrant tech scene and strong emphasis on innovation, with a focus on client satisfaction. This focus means that you will be expected to deliver high-quality, client-centric solutions that meet and exceed expectations. The office environment is designed to foster creativity and collaboration, with open spaces and regular team-building activities. Additionally, the company places a strong emphasis on work-life balance, offering flexible hours and remote work options to support employee well-being.

The salary is negotiable, reflecting the candidate's skills, experience, and the specific requirements of the role.

• Benefits include comprehensive health insurance that covers medical, dental, and vision care, as well as a retirement plan with employer matching contributions.
• Professional development opportunities are also provided, such as access to online courses, workshops, and conferences, to help employees grow and advance in their careers.

You should have a Bachelor's degree in Computer Science, Data Engineering, or a related field. Experience with SQL, Python, and cloud platforms like AWS or GCP is required. Knowledge of data modeling and ETL tools is a plus.

What you will do:

• Design, build, and maintain data pipelines to collect, process, and analyze data from various sources.
• Develop and implement data models and algorithms to transform raw data into meaningful insights.
• Ensure the integrity, security, and performance of our data infrastructure.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
• Monitor and optimize data workflows to improve efficiency and reduce costs.
• Document processes and create training materials to ensure knowledge transfer within the team.

What we need:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
• 3+ years of experience in data engineering or a similar role.
• Proven expertise in SQL, Python, and data processing frameworks like Apache Spark or Hadoop.
• Experience with cloud platforms such as AWS or GCP is a plus.
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication skills to translate technical concepts to non-technical stakeholders.