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# ETL Developer II

- **Company:** Profit Seekers, Inc.
- **Location:** Layton, UT, United States
- **Salary:** $90,000.0 - $110,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Data Validation, Data Cleansing, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Security, Data Warehousing, Database Queries, Perl (Programming Language), Information Lifecycle Management, Python (Programming Language), Performance Tuning, Shell Script, SQL Databases, Data Processing, Scripting, Data Management, Data Inconsistencies
- **Published:** September 9, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=71993a86414cd330

## About the Role

* Proven experience as an ETL Developer or similar role.
 * Solid understanding of data warehousing concepts, data modeling, and data integration patterns.
 * Proficiency in SQL for data querying and manipulation.
 * Demonstrated ability to work with scripting languages like Python, Perl, or Shell scripts.
 * Excellent problem-solving and analytical skills with a keen attention to detail.
 * Strong analytical and problem-solving skills.
 * Good communication skills and the ability to work effectively in a team-oriented environment.
 * Fundamental understanding of accounting concepts.
 * Strong commitment to data security, data privacy, and compliance.

## Description

* Data Extraction: Collaborate with Audit Managers and senior ETL developers to understand data requirements and source data from various databases, APIs, and other data sources.
 * Data Transformation: Design, develop, and implement data transformation logic using ETL (Extract, Transform, Load) tools, ensuring data consistency and integrity throughout the process.
 * Data Loading: Load transformed data into data warehouses following best practices and optimizing data loading performance.
 * Data Quality and Validation: Perform data quality checks, identify data inconsistencies, and work towards data cleansing and data enrichment to maintain high-quality data.
 * Performance Optimization: Continuously analyze and optimize ETL processes to improve data processing efficiency and reduce load times.
 * Documentation: Create and maintain detailed documentation of ETL processes, data mappings, transformations, and data flow diagrams.
 * Collaboration: Collaborate with cross-functional teams, including business stakeholders, to understand data requirements and provide support for data-related tasks.
 * Data Security: Adhere to data security and privacy standards, ensuring the protection of sensitive information during ETL processes.
 * Process Improvement: Actively participate in process improvement initiatives to enhance data management practices, data governance, and overall data lifecycle management.