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# Data Engineer

- **Company:** Walker, Inc
- **Location:** United States (Remote available)
- **Salary:** $111,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Java (Programming Language), Adaptable Database Systems, Agile Methodology, Amazon Web Services, Bash Shell, Big Data, Cloud Computing, Cloud Database, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Dimensional Modeling, Electronic Data Interchange (EDI), Apache Hadoop, Hadoop Distributed File System, Apache Hive, Python (Programming Language), Microsoft SQL Server, SQL Azure, Oracle (Applications), Azure Data Lake, Shell Script, Software Engineering, SQL Databases, Data Streaming, Talend, Scripting, Data Ingestion, Apache Spark, Amazon Relational Database Service, Vba Programming Language, Data Management, Restful APIs, Looker Analytics, Data Pipelines
- **Published:** October 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=0f5b52e17a5bd63e

## About the Role

* Proven experience working with big data systems such as Hadoop ecosystem components (HDFS, Spark, Hive) or similar frameworks in a cloud environment (Azure Data Lake, AWS).
 * Strong background in software development with proficiency in Java, Python, SQL (including Microsoft SQL Server and Oracle), and scripting languages like Bash or VBA.
 * Demonstrated expertise in designing scalable data models for warehousing solutions using dimensional modeling techniques.
 * Hands-on experience with ETL pipeline development using tools like Informatica or Talend along with RESTful API integrations for seamless data exchange.
 * Familiarity with business intelligence tools such as Looker or equivalent platforms for creating insightful dashboards.
 * Knowledge of cloud databases (Azure SQL Database, Amazon RDS) and public cloud platforms supporting big data systems is highly desirable.
 * Ability to analyze complex datasets effectively while applying strong analysis skills to support strategic initiatives.

Join us to leverage your passion for data engineering in a vibrant environment where innovation drives success!

## Description

* Design, develop, and optimize ETL (Extract, Transform, Load) pipelines to facilitate efficient data flow across various platforms using tools like Informatica, Talend, or custom scripting with Python and Bash.
 * Build and maintain scalable data warehouses and big data systems utilizing technologies such as Hadoop, Spark, Apache Hive, Azure Data Lake, and AWS cloud services.
 * Collaborate with cross-functional teams to understand business requirements and translate them into effective data models using dimensional modeling and data warehousing best practices.
 * Manage SQL databases including Microsoft SQL Server, Oracle, and cloud-based SQL databases to support query management and reporting needs.
 * Develop and implement data management integration strategies ensuring high-quality data ingestion from linked data sources and public cloud environments.
 * Support business intelligence tools like Looker by creating dashboards and reports that deliver actionable insights to stakeholders.
 * Write efficient code in Java, Python, or Shell Scripting for automation of data workflows and model training processes while adhering to Agile development methodologies.