Data Engineer

Qualibar; Gainesville (GA); On-site; USD 90,000 - 110,000; Full time

Job summary

A data solutions company based in Gainesville, GA, is seeking a Data Engineer to support data engineering and analytics initiatives. The ideal candidate will excel in SQL performance optimization, Azure Data Factory, and Power BI. Key responsibilities include designing data pipelines and optimizing database performance. The candidate must demonstrate strong analytical skills and experience with data warehousing concepts. This full-time position offers an opportunity to work within a dynamic team and implement scalable data solutions.

Qualifications

• Experience in Data Engineering or a related field.
• Strong expertise in SQL with advanced querying and execution plans.
• Proven experience with SQL performance tuning.
• Hands-on experience with Azure Data Factory.
• Experience with Power BI reporting and dashboards.
• Good understanding of star schema and fact/dimension tables.

Responsibilities

• Design and maintain data pipelines and ETL/ELT workflows.
• Develop and optimize SQL queries for performance.
• Perform SQL performance tuning and indexing strategies.
• Support Power BI dashboards for analytics teams.
• Design and maintain data warehouse structures.

Skills

SQL performance optimization

Azure Data Factory

Power BI

Data Pipeline Architecture

Data Warehousing Concepts

Analytical Skills

Tools

SQL Server Analysis Services

Azure SQL Database

Azure Synapse Analytics

Job description

Location: 1025 Airport Pkwy, Gainesville, GA 30501

Duration: Full Time

Job Responsibilities

We are seeking a Data Engineer with strong SQL and Azure data platform experience to support our data engineering and analytics initiatives. This role will focus on building and maintaining data pipelines, optimizing database performance, and enabling reporting and analytics across the organization.

The ideal candidate has hands‑on experience with SQL performance optimization, Azure Data Factory, and Power BI, along with a solid understanding of modern data warehousing concepts.

Key Responsibilities

• Design, build, and maintain data pipelines and ETL/ELT workflows using Azure Data Factory.
• Develop and optimize SQL queries, stored procedures, and database objects for performance and scalability.
• Perform SQL performance tuning, including indexing strategies and query execution plan analysis.
• Support and enhance Power BI dashboards and reports used by business and analytics teams.
• Design and maintain data warehouse structures, including fact and dimension tables using star schema modeling.
• Work with stakeholders to gather requirements and deliver data solutions that support reporting and analytics needs.
• Ensure data quality, consistency, and reliability across analytics systems.
• Troubleshoot and resolve data pipeline, reporting, or database performance issues.

Required Skills & Experience

• Experience in Data Engineering, Data Analytics, or a related field.
• Strong expertise in SQL, including advanced querying, joins, indexing, and execution plans.
• Proven experience with SQL performance tuning and optimization.
• Hands‑on experience with Azure Data Factory (ADF).
• Experience supporting or developing Power BI reports and dashboards.
• Good understanding of data warehousing concepts, including star schema, fact tables, and dimension tables.
• Experience writing and optimizing stored procedures.
• Familiarity with ETL/ELT frameworks and data pipeline architecture.
• Strong analytical and problem‑solving skills.

Preferred / Nice to Have

• Experience with SQL Server Analysis Services (SSAS) (Tabular or Multidimensional).
• Experience with Azure SQL Database or Azure Synapse Analytics.
• Exposure to Microsoft Fabric.
• Knowledge of Azure Data Lake and Medallion Architecture (Bronze / Silver / Gold).