Data Engineer

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Join a high-growth, data-driven environment where you’ll architect the foundation that powers analytics, search, and decision-making at scale. This is a hands-on, high-impact Data Engineer role focused on building systems the right way from the ground up.

Data Engineer Benefits and Compensation:

• Base salary: $140,000 – $160,000
• Performance-based bonus potential
• Comprehensive health, dental, and vision insurance
• Flexible hybrid or remote work (Eastern or Central time preferred)
• Generous PTO and holiday schedule
• Opportunity to build and influence data architecture at scale
• High-visibility role with direct impact on business growth
• Collaborative, fast-moving, and innovative team environment

Data Engineer Requirements & Qualifications – this is what will be prioritized during screening:

Must haves:

• 6+ years of experience in data engineering or backend-heavy engineering roles
• Deep expertise in PostgreSQL including schema design, indexing, and performance tuning
• Strong SQL skills across both transactional and analytical workloads
• Proven experience designing or operating a data warehouse
• Experience building ETL/ELT pipelines that feed analytics and search systems
• Experience working with search technologies (OpenSearch or similar)
• Ability to evaluate and apply the right data storage solutions based on workload and performance needs
• Strong coding ability with willingness to work in JavaScript/TypeScript environments
• Experience working with large-scale, messy, real-world datasets

What you’ll actually be doing (day-to-day impact):

• Restructuring and optimizing PostgreSQL environments to separate OLTP and analytics workloads
• Designing and implementing a scalable data warehouse and search architecture
• Defining how data is distributed across operational databases, search systems, and analytical platforms
• Building reliable, observable, and replayable data pipelines
• Improving data quality through validation, deduplication, and anomaly detection
• Making architectural decisions on data storage, migration, and system design
• Serving as the technical authority on data architecture without direct people management
• Leveraging AI tools to improve schema design, query performance, and data validation while ensuring accuracy and integrity

Data Engineer Preferred Background & Skills:

• Experience migrating analytics and search workloads off production systems
• Exposure to data observability and data quality tooling
• Background in high-volume consumer platforms or marketplace data environments
• Experience working with datasets at hundreds of millions to billions of records
• Familiarity with document or columnar data stores and when to apply them
• Strong sense of ownership with a pragmatic, solution-oriented mindset
• Ability to balance performance, cost, scalability, and system complexity in decision-making

JOB ID: 174359

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Rogers Hornsby

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