Data Engineer Technology

Neptune Technology Group • Duluth, GA

4d • Hybrid

About The Position

We are seeking a Data Engineer to help build and modernize our data pipeline architecture. The immediate mission is to support the migration of ETL workloads out of Redshift stored procedures and legacy SSIS packages into scalable, maintainable pipelines using AWS Glue and S3. The longer-term vision is to help us evolve from batch-oriented processing toward near real-time analytics using stream processing technologies like Apache Flink and ClickHouse, among others. You will be embedded in a cross-functional engineering team, working alongside senior engineers to build pipelines and grow your expertise in modern cloud-native data architecture.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2-4 years of experience in data engineering roles.
• Working experience with AWS Glue (PySpark/Python), S3, and Redshift.
• Hands-on experience migrating or supporting the migration of ETL workloads from legacy tools (SSIS, stored procedures, or similar) to modern cloud-native pipelines.
• Strong SQL skills with best practices and SQL linting, particularly in Redshift or other columnar/MPP databases.
• Experience with or strong interest in stream processing frameworks (Flink, Spark Streaming, Kafka Streams, or similar).
• Familiarity with data pipeline orchestration, monitoring, and error handling patterns.
• Familiarity with infrastructure-as-code and CI/CD concepts as applied to data pipelines.

Nice To Haves

• Experience with Aurora MySQL or other relational databases, and NoSQL such as DynamoDB.
• Hands-on experience with near real-time OLAP engines (ClickHouse, Apache Druid, or similar).
• Exposure to streaming data infrastructure (Kinesis, Kafka, MQTT).
• Familiarity with IoT or utility/metering data.
• Experience with dbt, Airflow, or Step Functions.
• Strong communication skills, with the ability to explain complex data architecture concepts to technical and non-technical stakeholders.
• A working understanding of software development methodologies (Agile, Scrum, etc.).
• Strong problem-solving abilities and a drive for results.

Responsibilities

• Build and maintain modern ETL/ELT pipelines using AWS Glue, S3, and related services to help replace legacy stored procedures and SSIS jobs.
• Develop data transformation workflows that are testable, version-controlled, and observable.
• Help maintain our Redshift data warehouse, including materialized views, query performance, and cost efficiency.
• Support the evolution from batch ETL to near real-time stream processing, assisting with the evaluation and implementation of technologies such as Apache Flink, ClickHouse, Kafka, Kinesis, or equivalent platforms.
• Design pipelines that support both near real-time and batch workloads as the platform transitions.
• Collaborate with product and analytics teams to help ensure data models support reporting, AI/ML, and customer-facing features.
• Follow and help refine established patterns and best practices for pipeline development.
• Participate in production support and incident response for data infrastructure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level