Data Engineer III - Pipelines, Cloud & Enterprise Data

ICW Group; Lehi (UT); In loco; USD 122.000 - 218.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive benefits

Bonus potential

Paid time off

Holidays

401K match

Descrizione del lavoro

ICW Group in Lehi, UT is seeking a Data Engineer III to design, develop, and implement data pipelines and storage solutions across data warehouses and lakes. You will partner with IT, BI, Data Governance, and Data Science teams to enable data-driven decisions and automation.

The role emphasizes building scalable batch and streaming pipelines on AWS or similar cloud platforms, data modeling, ETL/ELT processes, and ensuring data quality and performance while aligning with Enterprise Data

Competenze

• Bachelor's degree in Computer Science, Applied Mathematics, Engineering, or related field; 6+ years in data integration/engineering.
• Experience with security, data management and governance practices preferred.
• Insurance experience a plus.

Mansioni

• Designs and builds scalable data pipelines (batch/streaming) using cloud platforms.
• Develops data models and ETL/ELT mappings; validates data against source systems.
• Collaborates with BI, Data Science, and Enterprise Architecture teams to deliver data solutions.
• Leads data governance practices including code reviews and CI/CD for data pipelines.

Conoscenze

Data engineering

ETL/ELT

SQL/NoSQL

Data modeling

AWS cloud

Python/Scala

Big data

Streaming/batch pipelines

Formazione

Bachelor's degree in CS or related field

Strumenti

AWS (Redshift, S3, EC2)

Glue, EMR, Kinesis, Lambda

DynamoDB

Snowflake

Databricks

Hadoop, Spark, Kafka

SSIS, Profisee, Alteryx, Informatica

Descrizione del lavoro

ICW Group in Lehi, UT is seeking a Data Engineer III to design, develop, and implement data pipelines and storage solutions across data warehouses and lakes. You will partner with IT, BI, Data Governance, and Data Science teams to enable data-driven decisions and automation.

The role emphasizes building scalable batch and streaming pipelines on AWS or similar cloud platforms, data modeling, ETL/ELT processes, and ensuring data quality and performance while aligning with Enterprise Data