Duluth, GA

Developer Jobs in Duluth, GA

2 jobs found

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30d ago

Senior Data Engineer - Technology

Neptune Technology Group Inc. Duluth, GA

Duluth, GA

30d ago Closed

Full time Senior Amazon Web Services AWS

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Neptune Technology Group Inc offers a path to own and modernize data pipelines by migrating ETL workloads from Redshift stored procedures and legacy SSIS to scalable, cloud-native architectures using AWS Glue and S3. You will drive toward near real-time analytics with stream processing technologies such as Apache Flink and ClickHouse, shaping data models that enable robust reporting, AI, and customer-facing features. This is a role for hands-on leadership, collaboration with product and analytics teams, and the opportunity to set standards that others follow.

This is an onsite role based in Duluth, GA, with the possibility of being based in Tallassee, AL. Up to 20% travel to manufacturing or customer locations may be required when necessary.

Responsibilities

Create and evolve modern ETL and ELT pipelines using AWS Glue and S3 to replace legacy stored procedures and SSIS workloads
Design transformation workflows that are testable, version-controlled, and observable with appropriate monitoring
Optimize and maintain the Redshift data warehouse, focusing on materialized views, query performance, and cost efficiency
Lead the shift from batch ETL to near real-time streaming, evaluating and implementing platforms such as Apache Flink, ClickHouse, Kafka, or Kinesis
Build pipelines that support both near real-time and batch workloads during the platform transition
Collaborate with product and analytics teams to ensure data models support reporting, AI/ML, and customer-facing features
Establish scalable patterns and best practices for pipeline development across the team
Contribute to production support and incident response for data infrastructure

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with at least 5 years of data engineering experience
Extensive hands-on experience with AWS Glue (PySpark/Python), S3, and Redshift
Proven track record migrating ETL workloads from legacy tools such as SSIS and stored procedures to modern cloud-native pipelines
Strong SQL skills with best practices and linting, particularly in Redshift or other columnar/MPP databases
Experience with or strong interest in stream processing frameworks such as Flink, Spark Streaming, or Kafka Streams
Familiarity with data pipeline orchestration, monitoring, and robust error-handling patterns
Experience with infrastructure as code and CI/CD for data pipelines

Technologies

Python, PySpark, SQL
AWS Glue, S3, Redshift
SSIS, Apache Flink, ClickHouse
Kafka, Kinesis, Apache Spark Streaming, Kafka Streams
Aurora MySQL, DynamoDB, Apache Druid, dbt
Airflow, Step Functions, MQTT

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2mo ago

Data Engineer

Codoxo Duluth, GA

Duluth, GA

2mo ago Closed

Full time Big Data Data Engineer Data Integration

This position is no longer accepting applications (closed Jul 21, 2026).

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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Developer Jobs in Duluth, GA

Senior Data Engineer - Technology

Data Engineer

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