Data Engineer I

Codoxo is seeking a Data Engineer I to help build and maintain the data pipelines that support analytics, reporting, and machine learning initiatives. In this hybrid role based in Duluth, GA, you will work under senior engineers to develop reliable ETL/ELT workflows, integrate diverse data sources, and improve pipeline performance and database efficiency. What you will do Assist in designing, building, and maintaining scalable ETL/ELT data pipelines. Develop and optimize batch and streaming workflows using tools such as AWS Glue , Spark , and Airflow . Support data integration across multiple structured and unstructured data sources. Write clean, efficient, and maintainable code using Python , PySpark , and SQL . Monitor, troubleshoot, and improve pipeline reliability and performance. Optimize database performance, particularly in PostgreSQL and cloud-based environments. Maintain and support AWS infrastructure, including EC2 , S3 , and Glue . Implement data validation, quality checks, and monitoring processes. Ensure compliance with data governance , security , and regulatory standards. Collaborate with data scientists and analysts to translate data requirements into scalable engineering solutions. Document data flows, architecture decisions, and technical processes. Use AI-assisted development tools to improve speed, testing coverage, and code quality. Key qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field (or equivalent practical experience). 2+ years of experience in data engineering, software engineering, or related technical roles (internships included). Proficiency in Python , PySpark , and SQL . Familiarity with ETL/ELT concepts and data pipeline architecture. Experience working with relational databases such as PostgreSQL . Basic understanding of cloud computing concepts, preferably AWS . Exposure to distributed data processing frameworks such as Spark . Experience working in Linux environments and basic shell scripting. Strong analytical and problem-solving skills. Ability to work collaboratively in a team environment under mentorship. Strong written and verbal communication skills. Technologies you may work with Python, PySpark, SQL AWS Glue, Spark, Airflow, Apache Airflow PostgreSQL

EC2, S3, IAM

Linux

ETL, ELT, AWS

Benefits Health, Dental, and Vision insurance with 100% employee premium coverage (starts Day 1) Unlimited PTO Annual Professional Development stipend Annual home office stipend 401K Match (after 90 days) Preferred qualifications Experience working with medical claims data strongly preferred. Hands-on experience with AWS services such as EC2 , S3 , Glue , and IAM . Experience with workflow orchestration tools such as Apache Airflow . Exposure to data warehousing concepts and dimensional modeling. Familiarity with CI/CD pipelines and version control (for example, Git ). Understanding of data security, governance, and compliance best practices. Experience supporting machine learning pipelines or analytics platforms. Demonstrated use of AI tools (for example, code assistants or automation platforms) to improve development efficiency. Work environment Work is performed in an office environment (either in Codoxo’s office or work-from-home) and requires the ability to work on a computer, operate standard office equipment, and work at a desk. If you need reasonable accommodation for any part of the employment process due to a physical or mental disability, email View email address on click.appcast.io with the subject line requesting accommodation. #J-18808-Ljbffr Codoxo