Senior Data Engineer - Technology

We are seeking a Senior Data Engineer to own and modernize our data pipeline architecture. The immediate mission: migrate ETL workloads out of Redshift stored procedures and legacy SSIS packages into scalable, maintainable pipelines using AWS Glue and S3. The longer-term vision: help us evolve from batch-oriented processing toward near real-time analytics using stream processing technologies like Apache Flink and Click House, among others.

You will be embedded in a cross-functional engineering team and have real influence over the architecture as we make this transition.

• Design and build modern ETL/ELT pipelines using AWS Glue, S3, and related services to replace legacy stored procedures and SSIS jobs.
• Architect data transformation workflows that are testable, version-controlled, and observable.
• Optimize and maintain our Redshift data warehouse, including materialized views, query performance, and cost efficiency.
• Drive the evolution from batch ETL to near real-time stream processing, evaluating and implementing technologies such as Apache Flink, Click House, Kafka, Kinesis, or equivalent platforms.
• Design pipelines that support both near real-time and batch workloads as the platform transitions.
• Partner with product and analytics teams to ensure data models support reporting, AI/ML, and customer-facing features.
• Establish patterns and best practices for pipeline development that the broader team can adopt.
• Participate in production support and incident response for data infrastructure.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Minimum of 5+ years in data engineering roles.

• Deep experience with AWS Glue (PySpark/Python), S3, and Redshift.
• Proven track record migrating 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.
• Experience with infrastructure-as-code and CI/CD for data pipelines.

• Experience with Aurora MySQL or other relational databases, and No
  
  SQL such as DynamoDB.
• Hands-on experience with near real-time OLAP engines (Click House, 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 deep understanding of software development methodologies (Agile, Scrum, etc.).
• Strong problem-solving abilities and a drive for results.

• Tallassee, Alabama or Duluth, Georgia;
  May be required to travel to one of our manufacturing/customer locations up to 20% of the time when necessary.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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