Data Engineer

Keystone National Partners; Atlanta (GA); On-site; USD 110,000 - 144,000; Full time

Benefits offered by this job

Health insurance

401(k) with employer match

Tuition reimbursement

Online courses / certifications

Job summary

Keystone National Partners in Atlanta, GA seeks a Data Engineer to design, develop, and maintain scalable data pipelines and infrastructure. You will leverage data to drive strategic decisions, ensure data quality and security, and collaborate with cross-functional teams.

A bachelor’s degree in CS/Engineering is required, with experience in Python, SQL, and big data technologies. We offer comprehensive benefits including health insurance, 401(k) with employer match, and opportunities for

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer in a financial services or related industry.
• Strong proficiency in Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or similar frameworks.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Understanding of data warehousing concepts and SQL.
• Excellent communication and teamwork skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and infrastructure.
• Collaborate with cross-functional teams to identify and implement data solutions.
• Ensure data quality, integrity, and security through monitoring and validation processes.
• Optimize data processing and storage to improve performance and reduce costs.
• Stay updated with emerging technologies and industry best practices.
• Mentor and guide junior team members in their professional development.

Skills

Python

SQL

Big data technologies

Education

Bachelor's degree in Computer Science or Engineering

Tools

Hadoop

Spark

AWS

Azure

GCP

Job description

Keystone National Partners, a leading financial services firm in Atlanta, GA, seeks a Data Engineer to join our team. This FULL_TIME role offers a salary range of $110,000 - $144,418, with benefits, and is open until November 23, 2026.

In this role, you will design, develop, and maintain our data infrastructure. You will also leverage data to drive strategic decisions and improve client experiences. Your tasks will involve data modeling, ETL processes, and ensuring data quality and security.

You will work in a collaborative environment with a diverse team in Atlanta, GA, where individuals from various backgrounds and experiences come together to achieve common goals. Our firm values diversity, inclusion, and continuous learning, fostering a culture of mutual respect and growth. This collaborative atmosphere encourages open communication, idea-sharing, and the exchange of different perspectives, ultimately leading to innovative solutions and a more comprehensive understanding of our clients' needs. We believe that by embracing our differences, we can collectively drive success and create a more inclusive and dynamic workplace.

The salary range for this position is $110,000 to $144,418 per year, reflecting a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, as well as flexible spending accounts. Retirement benefits are offered through a 401(k) plan with a generous employer match, providing financial security for the future. Additionally, professional development opportunities are available, such as tuition reimbursement and access to online courses and certifications, to help employees enhance their skills and advance their careers.

To excel in this role, you should have a bachelor's degree in Computer Science, Engineering, or a related field. Experience with SQL, Python, and big data technologies is required. Knowledge of data warehousing and ETL tools is a plus.

Duties

• Design, develop, and maintain scalable data pipelines and infrastructure.
• Collaborate with cross-functional teams to identify and implement data solutions.
• Ensure data quality, integrity, and security through robust monitoring and validation processes.
• Optimize data processing and storage to improve performance and reduce costs.
• Stay up-to-date with emerging technologies and industry best practices.
• Mentor and guide junior team members in their professional development.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Proven experience as a Data Engineer or similar role in a financial services or related industry.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or similar frameworks.
• Knowledge of cloud platforms such as AWS, Azure, or GCP.
• Understanding of data warehousing concepts and SQL.
• Excellent communication and teamwork skills.

Join our team and contribute to our innovative financial solutions.

Applications are due by November 23, 2026.