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Engineer data systems that change how people live and work.

As a senior data engineer at Gallup, you’ll play a key role in designing, developing and optimizing the data systems that underpin our flagship platform, Gallup Access. You'll use your enterprise-level data technology expertise to enhance our data capabilities; modernize existing systems; expand GenAI; and ensure the performance, security and reliability of our data infrastructure. Working with technologies like AWS Aurora and other AWS storage and compute services, you’ll influence how we empower better decision-making by delivering reliable data and insights on everything that matters, from global wellbeing to employee engagement.

As part of our Technology team, you won't just maintain systems; you'll actively shape their future. If you excel at tackling complex data challenges and building robust, scalable solutions, join us in developing technology that truly changes the world.

What You’ll Do

Design, develop and implement scalable data solutions, including AWS Aurora (MySQL compatible) and other cloud-native services
Optimize data performance and design scalable data models that enable efficient storage, processing and real-time reporting solutions
Rearchitect and modernize existing data systems and ETL processes — migrating and transforming legacy pipelines to improve efficiency and maintainability
Enhance data pipelines by integrating and leveraging Generative AI to improve automation, enrichment and insights
Design with foresight, creating system road maps, anticipating challenges and resolving issues before they impact performance
Implement and maintain data security controls and ensure compliance with industry best practices
Work with AWS services like S3, SQS, SNS, Lambda, Elasticache and DynamoDB
Collaborate with application engineers, data scientists and other stakeholders to translate business needs into scalable data solutions
Mentor junior data engineers by offering guidance, proposing new approaches, providing feedback and sharing best practices
Troubleshoot complex database issues, document resolutions and implement preventative measures
Contribute to data-related services and tooling using Python or Java as needed

What Makes You Stand Out

Expert problem-solving: With your deep understanding of data architecture and your experience working on complex transaction and analytics workloads, you diagnose performance bottlenecks and design efficient solutions.
Forward-thinking mindset: You anticipate future needs, advocate for modernization, and stay current with emerging data technologies and techniques.
Performance-oriented engineering: You’re committed to designing robust data models, improving the clarity and outcomes of systems, producing accurate reporting and analytics, implementing security best practices, and ensuring data integrity and compliance.
Collaborative mentorship: You share knowledge generously, communicate technical concepts and steps clearly, and help junior engineers level up their skills and expertise.
Agility and adaptability: You’re comfortable working across data systems and open to learning and contributing using various relevant technologies.

What You Need

Bachelor’s degree in computer science, MIS or a related field, or equivalent experience, required
At least five years of experience in data engineering or backend systems with significant data responsibilities required
At least five years of experience in database design and development including data modeling, query optimization and performance tuning required
At least five years of experience with relational database management systems required, with MySQL experience preferred
At least two years of experience with cloud infrastructure required, with AWS experience preferred
At least two years of experience with ETL processes required
At least two years of experience with data warehousing, reporting and analytics required
Professional experience with Python or Java required
Knowledge of data security principles and compliance best practices required
Experience with data modernization projects preferred
Familiarity with cloud data warehousing solutions such as Snowflake is a plus
A commitment to working on-site at Gallup’s San Francisco office at least three days a week required

About Gallup

At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind.

Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; mass transit reimbursement; family-building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $150,000-$200,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.

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Senior Data Engineer

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