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# Data Engineer Remote Location

- **Company:** Sierra Business Solution LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Big Data, Databases, Information Engineering, Data Transformation, Data Migration, Relational Databases, Database Design, Database Development, PostgreSQL, Query Optimization, SQL Stored Procedures, SQL Databases, Data Processing, Freeform SQL, Database Optimization, Database Performance, Indexer, Data Pipelines
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/e11ddcb7-96ef-4733-9056-cd1afa4ee77d

## About the Role

The ideal candidate should have hands-on experience in database development, data pipeline design, query optimization, database performance tuning, and handling large volumes of structured data., 5+ years of experience in Data Engineering or Database Development.

Strong hands-on experience with SQL and PostgreSQL.

Excellent knowledge of complex SQL queries and database optimization.

Experience with database design, indexing, partitioning, and query execution plans.

Strong understanding of relational database concepts.

Experience in ETLELT development and data transformation.

Knowledge of database performance tuning and troubleshooting.

Experience working with large datasets and high-volume databases.

Strong analytical and problem-solving skills.

## Description

We are looking for an experienced Senior Data Engineer with strong expertise in SQL databases and PostgreSQL to design, develop, optimize, and maintain scalable data solutions., Design, develop, and maintain scalable data pipelines and database solutions.

Work extensively with SQL and PostgreSQL databases.

Write complex SQL queries, stored procedures, functions, and triggers.

Optimize SQL queries and improve database performance.

Design and maintain database schemas, tables, indexes, and relationships.

Perform database performance tuning, troubleshooting, and optimization.

Handle data migration, integration, transformation, and validation.

Develop ETLELT processes for efficient data processing.

Ensure data quality, consistency, security, and integrity.

Collaborate with data analysts, developers, architects, and business teams.

Monitor database health and resolve performance-related issues.