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# Data Engineer 1 4P/244

- **Company:** 4P Consulting Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Airflow, JIRA, CA Workload Automation Ae, Microsoft Azure, Big Data, Cloud Computing, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, DevOps, Apache Hadoop, Apache Hive, Python (Programming Language), Key Management, Microsoft SQL Server, Microsoft Business Intelligence, OpenShift, Oracle (Applications), Power BI, Azure Data Lake, SQL Databases, SQL Server Integration Services, SQL Server Analysis Services, Web Services, Data Processing, Scripting, Azure Data Factory, Informatica Powercenter, Apache Spark, Containerization, Data Lakes, Oracle Golden Gate, Data Management, Data Delivery, Azure Synapse Analytics, Data Pipelines, Docker, Databricks, Web Api
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-1-4p-244-atlanta-ga--321ea56d-30f5-46c0-b70d-f83d02842879

## About the Role

Business Intelligence, Cloud Computing, Data Modeling, Big Data, SQL (Structured Query Language), Business Support, Python Programming/Scripting Language, Microsoft Windows Azure, Database Extract Transform and Load (ETL), Data Processing, * 1-3 years of experience in data engineering or related IT roles.

 * Proficiency in SQL, data modeling, and tools such as Spark, Hive, Airflow, Python.
 * Strong experience with Microsoft Azure ecosystem (Data Factory, Synapse, Databricks, Data Lake).
 * Hands-on knowledge of on-prem tools: SSIS, SSAS, Informatica, Oracle Golden Gate, SQL Server.
 * Familiarity with DevOps, CI/CD, Agile development methodologies.
 * Experience developing and integrating APIs/web services., * Microsoft Azure Data Engineer Associate certification.
 * Experience with data governance frameworks and tools.
 * Knowledge of the Utilities/Gas industry and its data practices.
 * Experience with JIRA and/or Azure DevOps for project management and tracking.

## Description

We are seeking a highly motivated Data Engineer with 1-3 years of experience to join our data engineering team. The ideal candidate will focus on manipulating, transforming, and structuring data to support business intelligence and analytics needs. This role involves working across cloud and on-premises data platforms to deliver scalable and optimized data solutions. Strong proficiency in SQL, data modeling, cloud technologies, and big data tools is essential., * Build scalable datasets and data pipelines from structured and unstructured sources.

 * Design and implement ETL/ELT processes using Azure Data Factory, Azure Databricks, and Python.

Data Platform Management:

 * Develop and support data solutions across cloud (Azure) and on-premises platforms such as:
 + Azure Data Lake, Azure Synapse, Azure Key Vault, Power BI, MSBI (SSIS/SSAS), SQL Server, and Oracle.
 * Implement solutions using big data tools like Spark, Hive, and Hadoop., * Support AI/ML data needs by building pipelines and features using Python and Azure tools.
 * Automate processes using Autosys, Airflow, and containerization technologies such as Docker or OpenShift.
 * Create, consume, and integrate APIs and web services for enriched data delivery.

Solution Design & Governance:

 * Participate in functional and technical design for data solutions, including creating re-usable components.
 * Implement data governance standards using tools like Databricks Unity Catalog.
 * Perform code reviews and ensure adherence to best practices.

Project & Collaboration:

 * Work on multiple concurrent projects in an Agile/DevOps environment.
 * Collaborate with cross-functional teams across enterprise settings.
 * Maintain clear documentation and deliver data engineering components that align with analytics strategies.