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# Data Engineer

- **Company:** IT Heroes Inc
- **Location:** United States (Remote available)
- **Salary:** $93,600.0 - $114,400.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Big Data, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Warehousing, Apache Hadoop, Python (Programming Language), Oracle (Applications), Power BI, SQL Databases, Data Streaming, Apache Spark, Software Troubleshooting, Data Analytics, Data Management, Tools for Reporting, Looker Analytics, Data Pipelines
- **Published:** May 31, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b4353d821d78850d

## About the Role

Do you have experience in Spark?, * Proficient in ETL processes and data warehousing concepts

 * Strong skills in SQL and Python for data manipulation
 * Experience with Oracle and AWS cloud services
 * Familiarity with big data technologies such as Hadoop and Spark
 * Knowledge of analytics tools like Power BI and Looker
 * Understanding of software troubleshooting and encryption techniques
 * Ability to work in an Agile environment and collaborate effectively

## Description

As a Data Engineer, you will be pivotal in designing and implementing robust data pipelines and ETL processes to support our data warehouse initiatives. Reporting to the Data Engineering Manager, you will leverage your expertise in SQL and Python to ensure data integrity and scalability. Your proficiency in Power BI and Oracle will enhance our analytics capabilities, while your experience with AWS and Big Data technologies will drive innovation. We expect you to collaborate effectively in an Agile environment, utilizing your strong problem-solving skills to troubleshoot software issues and optimize data management processes., * Design, develop, and maintain ETL processes to ensure efficient data flow and integration from various sources into the data warehouse.

 * Utilize SQL and Python for data manipulation and analysis, ensuring data accuracy and accessibility.
 * Collaborate with cross-functional teams to optimize data scalability and performance.
 * Troubleshoot software and data issues, implementing encryption and virtualization techniques as necessary.
 * Create and manage reports using Power BI to support data-driven decision-making.


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