Data Engineer

KR3 Information Systems, Inc. is seeking a Data Engineer to build, optimize, and maintain cloud-based data pipelines, platforms, and data stores for analytics. The role supports scalable ETL/ELT workflows, data architecture, data quality, and end-to-end data solutions for reporting, modeling, and visualization.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver structured and unstructured data from multiple cloud-based sources
• Build and optimize data warehouses, data lakes, and lakehouse solutions supporting analytics, reporting, and business intelligence
• Perform backend SQL and NoSQL testing , including data validation, post-deployment checks, and troubleshooting of ingestion and schema issues
• Collaborate with analysts, engineers, developers, and stakeholders to translate business requirements into technical data models, workflows, and pipeline specifications
• Develop scripts and automation to convert diverse data types into usable formats
• Support the scaling, monitoring, and operation of cloud-based data platforms
• Contribute to data quality, validation, and troubleshooting throughout the pipeline lifecycle
• Work within collaborative, cross-functional teams to deliver reliable and scalable data solutions

Preferred

• Experience developing solutions within a collaborative, cross-functional team environment
• Experience with AWS Glue, AWS Athena, and PostgreSQL/Postgres
• Experience with distributed data and computing technologies such as Apache Spark, Databricks, Hive, AWS EMR, or Kafka
• Experience working with real-time data and streaming applications
• Experience with NoSQL technologies such as MongoDB or Cassandra
• Experience with data warehousing technologies including AWS Redshift, MySQL, or Snowflake
• Experience with UNIX/Linux, including basic commands and shell scripting
• Experience working in Agile engineering environments
• Public Health or healthcare data experience is preferred
• Candidates with a CDC badge and/or prior CDC experience are strongly preferred
• AWS Glue
• AWS Athena
• PostgreSQL
• Apache Spark
• Databricks
• Hive
• AWS EMR
• Kafka
• Real-Time Data
• Streaming Applications
• MongoDB
• Cassandra
• Data Warehousing
• AWS Redshift
• MySQL
• Snowflake
• UNIX/Linux
• Shell Scripting
• Agile Engineering
• Public Health Data
• Healthcare Data
• CDC Experience
• Collaboration
• Cross-Functional Teamwork

Benefits

• Health and other employee benefits, paid time off, holidays, and additional benefits available to full-time employees.
• 100% remote work arrangement.

Company

• IT consulting, cybersecurity, cloud management, and staff augmentation services
• Chamblee, Georgia, USA
• https://www.kr3infosys.com/
• Founded in 2005
• 501-1000 employees

Qualifications

• 3+ years of experience in Data Warehouse development
• 3+ years of experience analyzing aggregated data from multiple sources in cloud-based environments
• 2+ years of experience developing and maintaining scalable data stores supporting business analytics
• Strong experience with SQL and Python for retrieving, parsing, and processing structured and unstructured data
• Experience developing scalable ETL/ELT workflows for reporting and analytics using cloud-based technologies
• Experience with Cloudera or Hadoop technologies for data ingestion, transformation, and processing
• Experience leveraging generative AI coding tools to assist with software/data engineering development
• Experience performing backend SQL and NoSQL database testing, including post-deployment and data validation testing
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination, based on client requirements
• Bachelor's degree
• Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)
• U.S. Citizens and Green Card Holders only
• Experience developing solutions within a collaborative, cross-functional team environment
• Experience with AWS Glue, AWS Athena, and PostgreSQL/Postgres
• Experience with distributed data and computing technologies such as Apache Spark, Databricks, Hive, AWS EMR, or Kafka
• Experience working with real-time data and streaming applications
• Experience with NoSQL technologies such as MongoDB or Cassandra
• Experience with data warehousing technologies including AWS Redshift, MySQL, or Snowflake
• Experience with UNIX/Linux, including basic commands and shell scripting
• Experience working in Agile engineering environments
• Public Health or healthcare data experience is preferred
• Candidates with a CDC badge and/or prior CDC experience are strongly preferred
• 3+ years of experience in Data Warehouse development.
• 3+ years of experience analyzing aggregated data from multiple sources in cloud-based environments.
• 2+ years of experience developing and maintaining scalable data stores supporting business analytics.

Required skills

• Data Warehousing, Cloud Data Engineering, SQL, Python, ETL/ELT, Cloudera, Hadoop, SQL and NoSQL Database Testing, Public Trust Clearance, AWS Glue, AWS Athena, PostgreSQL

Preferred skills

• Experience working in Agile engineering environments, Public Health or healthcare data experience is preferred

Experience

• 3+ years