Data Engineer

• Responsible for building, optimizing, and maintaining scalable data pipelines and ensuring data quality across platforms.
• Applies in-depth knowledge of data engineering principles, SQL development, and quality engineering (QE) fundamentals to improve data processes, workflows, and system reliability.
• Applies strong expertise in data engineering, contributing to the design and enhancement of data pipelines, architectures, and data quality frameworks.
• Demonstrates a deep understanding of how data systems integrate across functions, enabling efficient data flow and alignment with business objectives.
• Evaluates moderately complex data challenges, balancing performance, scalability, and data integrity considerations using multiple data sources.
• Utilizes advanced SQL skills to design, optimize, and troubleshoot queries, stored procedures, and data transformations.
• Strong analytical, communication, and collaboration skills are required to work across technical and business teams.
• Influences technical decisions through advisory support and contributes to large-scale data initiatives with regional or global impact.
• Design, build, and maintain scalable data pipelines and ETL processes to support analytics and operational use cases
• Develop and optimize complex SQL queries for data extraction, transformation, and validation
• Implement data quality checks, validation rules, and QE practices to ensure accuracy, consistency, and reliability of data
• Partner with business and technology teams to translate requirements into technical data solutions
• Analyze and troubleshoot data issues, performing root cause analysis and implementing fixes
• Drive data governance and standardization efforts across systems and platforms
• Support system integration and data flow across multiple applications and environments
• Lead data-related aspects of system changes, from requirements through development, testing (QE), and deployment
• Collaborate with QE teams to define test strategies, automate data validation, and ensure end-to-end system quality
• Communicate risks, dependencies, and impacts of data solutions to stakeholders
• Ensure compliance with data governance policies, regulatory requirements, and best practices

• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience
• 5-8 years of experience in data engineering, SQL development, data analysis, or related field
• Strong proficiency in SQL and experience with relational databases and data warehousing concepts
• Experience with ETL tools, data pipeline frameworks, and big data technologies (preferred)
• Knowledge of Quality Engineering (QE) fundamentals, including data validation, testing frameworks, and automation
• Strong problem-solving, analytical, and troubleshooting skills
• Excellent communication and stakeholder management abilities
• Experience working in complex, cross-functional environments

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .