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# Data Engineer - iGrid

- **Company:** Primary Talent Partners
- **Location:** Charlotte, NC, United States
- **Salary:** $183,040.0 - $203,840.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Amazon Web Services, Amazon S3, Data Analysis, Big Data, Databases, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Queries, Distributed Systems, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), NoSQL, Performance Tuning, Systems Development Life Cycle, Query Optimization, Aws Command Line Interface (CLI), SQL Databases, Workflow Management Systems, Data Logging, Data Processing, Scripting, Data Storage Technologies, Apache Spark, Boto3, Electronic Medical Records, AWS Lambda, Jupyter, Git, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, AWS Glue, Apache Kafka, Data Management, Cloudwatch, Api Gateway, Terraform, Stream Processing, Data Pipelines, Serverless Computing, Amazon Elastic Mapreduce (EMR), Database Tools and Utilities, Confluent, Amazon Redshift
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-igrid-charlotte-nc--c04c2b6c-03e6-4324-a08a-de8c3c960a80

## About the Role

AWS Lambda, Database Extract Transform and Load (ETL), Amazon Web Services (AWS), Electronic Medical Records, Scalable System Development, Data Processing, Analysis Skills, Query Optimization, Data Management, Data Modeling, * Knowledge of AWS EventBridge and Step Functions for workflow orchestration

 * Familiarity with EMR runtime roles and execution roles for secure data access
 * Experience with DynamoDB for NoSQL data storage
 * Knowledge of API Gateway for building data APIs, * Bachelor's degree in Computer Science, Data Engineering, Information Technology, or related field
 * Strong understanding of distributed computing and big data processing frameworks
 * Experience with Agile development methodologies
 * Excellent problem-solving and analytical skills
 * Strong communication and collaboration abilities

Development and Data Tools

 * EMR Notebooks or Jupyter for interactive development
 * VS Code or similar IDE for Python development
 * Git for version control
 * AWS CLI and boto3 for AWS service interaction
 * Terraform for infrastructure provisioning
 * DBeaver, Data Studio for database management

Required Technical Skills

 * Python: Advanced proficiency in Python 3.8+ for data processing, scripting, and automation
 * PySpark: Extensive experience with PySpark for large-scale data processing and transformations on EMR clusters
 * AWS Lambda: Hands-on experience building serverless functions for data processing and orchestration
 * AWS Glue: Expertise in AWS Glue for ETL jobs, Data Catalog management.
 * Amazon Athena: Experience with Athena for SQL-based data analysis and querying data lakes
 * Amazon EMR: Strong experience with EMR for running Spark jobs, EMR Notebooks, and cluster management
 * Amazon Redshift: Knowledge of Redshift for data warehousing, query optimization, and integration with data lakes
 * Kafka: Experience with Confluent Kafka for real-time data streaming, including Schema Registry, source/sink connectors, and producers/consumers
 * Amazon S3: Deep understanding of S3 for data lake architecture, bucket policies, and data organization (raw, curated layers)
 * CloudWatch: Proficiency in CloudWatch for logging, monitoring, and alerting on data pipelines
 * Terraform: Experience with Infrastructure as Code using Terraform for provisioning AWS resources

## Description

Primary Talent Partners has a new contract opening for a Data Engineer - iGrid with our large power and utilities client in Charlotte, NC. This is a 12-month contract with a potential for extension., * Design, develop, and maintain scalable ETL pipelines using AWS Glue, EMR (PySpark), and Lambda functions

 * Implement real-time data streaming solutions using Confluent Kafka with source and sink connectors
 * Develop and optimize PySpark jobs on EMR clusters for large-scale data transformations
 * Build serverless data processing workflows using AWS Lambda
 * Design and optimize queries in Amazon Athena for analytical workloads
 * Manage data warehouse solutions in Amazon Redshift including data modeling and performance tuning
 * Implement monitoring and alerting using CloudWatch for data pipeline health and performance
 * Provision and manage AWS infrastructure using Terraform
 * Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements
 * Implement data governance and security best practices using Lake Formation, IAM, and KMS