Developer Jobs in Duluth, GA

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23d ago

Data Engineer

Codoxo Duluth, GA

Duluth, GA

23d ago

Full time Big Data Data Engineer Data Integration

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Job Description

Codoxo is seeking a Data Engineer to design, build, and maintain scalable data pipelines that power analytics, reporting, and machine learning initiatives. This onsite role in Duluth, Georgia reports to senior engineers and expects a strong foundation in data engineering practices combined with collaboration across teams.

Responsibilities

Assist in designing, building, and maintaining scalable ETL and ELT data pipelines.
Develop and optimize batch and streaming workflows using AWS Glue, Spark, and Airflow.
Support data integration across multiple structured and unstructured sources.
Write clean, efficient, and maintainable code in Python, PySpark, and SQL.
Monitor, troubleshoot, and improve the reliability and performance of data pipelines.
Optimize database performance, with a focus on PostgreSQL and cloud-based environments.
Maintain and support AWS-based infrastructure including EC2, S3, and Glue.
Implement data validation, quality checks, and ongoing 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.
Leverage AI-assisted development tools to enhance speed, testing coverage, and code quality.

Requirements

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 collaborate effectively in a team environment under mentorship.
Strong written and verbal communication skills.

Technologies

Python
PySpark
SQL
AWS
AWS Glue
Spark
Airflow
PostgreSQL
Linux
Shell scripting
Git

Benefits

Health, Dental, and Vision insurance with 100% employee premium coverage (Starts Day 1)
Unlimited paid time off
Annual professional development stipend
Annual home office stipend
401K match after 90 days

Preferred Qualifications

Experience working with medical claims data is 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 (eg, Git).
Understanding of data security, governance, and compliance best practices.
Experience supporting machine learning pipelines or analytics platforms.
Demonstrated use of AI tools to improve development efficiency.
Physical requirements: work is performed in an office environment (office or remote) and requires computer use, standard office equipment operation, and desk work.

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