Embedded Developer – Wi-Fi & Networking

Pb Consulting; Golden (CO); On-site; USD 130,000 - 170,000; Full time

Job summary

Pb Consulting is seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. You will build data pipelines, manage data platforms, and deliver enterprise analytics solutions across complex environments.

The role focuses on ETL/ELT development, data lake/warehouse architecture, and collaboration with data scientists, analysts, and business teams to deliver production-ready

Qualifications

• 7+ years of experience in Big Data/Data Engineering roles.
• Strong hands-on experience with AWS cloud services and Big Data tech.
• Experience designing and maintaining scalable data pipelines and cloud-based architectures.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures on AWS.
• Develop ETL/ELT solutions using AWS services.
• Build and manage cloud-based data lakes and data warehouses (S3, Athena, Redshift, RDS).
• Ensure data quality, security, and integrity in data architectures.
• Develop data processing workflows for large-scale ingestion and transformation.
• Collaborate with data scientists, analysts, and business teams on production-ready datasets.
• Monitor and optimize data pipeline performance and reliability.
• Work with DevOps practices and deployment automation (Jenkins, Maven).

Skills

Big Data Engineering

AWS cloud services

ETL/ELT pipelines

Data lakes/warehouses

SQL

Unix/Linux scripting

DevOps tools (Jenkins/Maven)

Data modeling/quality

Hadoop

Tools

Jenkins

Maven

Lambda

Kinesis

Glue

Athena

Redshift

S3

Job description

We are seeking an experienced AWS Data Engineer / Big Data Technology Lead to design, develop, and maintain scalable data solutions using AWS cloud technologies and big data frameworks. The ideal candidate will have strong experience building data pipelines, managing data platforms, and delivering enterprise-level analytics solutions.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures on AWS to support analytics, reporting, and operational workflows.
• Develop ETL/ELT solutions using AWS services.
• Build and manage cloud-based data lakes and data warehouse solutions using:Amazon S3, Amazon Athena,Amazon Redshift andAmazon RDS.
• Design and implement scalable data architectures while ensuring data quality, security, and integrity.
• Develop data processing workflows to support large-scale data ingestion and transformation.
• Collaborate with data scientists, analysts, and business teams to curate and optimize production-ready datasets.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Work with DevOps tools and practices including Jenkins and Maven for deployment automation.

Required Experience & Skills

• 7+ years of experience in Big Data Engineering, Data Engineering, or related roles.
• Strong hands-on experience with AWS cloud services and Big Data technologies.
• Experience designing, developing, and maintaining scalable data pipelines and cloud-based data architectures.
• Proficiency in developing ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Kinesis, and Step Functions.
• Experience building and managing data lakes and data warehouses using AWS services including S3, Athena, Redshift, and RDS.
• Strong knowledge of data modeling, data integration, and ensuring data quality and integrity.
• Experience working with Hadoop and other Big Data technologies.
• Strong SQL skills with experience in databases such as Oracle 10g/11g/12c and SQL Server.
• Experience with Unix/Linux environments and scripting.
• Familiarity with DevOps tools such as Jenkins and Maven.
• Experience with monitoring and logging tools such as Splunk is preferred.
• Ability to collaborate with data scientists, analysts, and cross-functional teams to deliver production-ready data solutions.