[Hiring] Staff Software Engineer | Semantic Data Lake @reputed company

Role Description This is a remote position; however, the candidate must reputed company reputed company 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Seattle/WA. reputed company is reimagining its reputed company data platform with a powerful goal: transforming raw data into semantically meaningful, reusable, and trusted business assets. As a Staff Software Engineer on the Semantic Data Lake Team, you'll play a critical role in designing, building, and maintaining our core 360 data objects—such as Customer360, Fleet360, and Provider360. These wide, entity-based tables are foundational to our analytics, AI, and product platforms. You'll implement rich transformation logic, encode business rules, and ensure data consistency across domains, making our data models both technically scalable and business-reputed company. This team is at the heart of reputed company's DaaS platform—bridging raw data with meaningful business insights. You'll help define and deliver the semantic backbone of our products, analytics, and machine learning systems. We're looking for an AI-reputed company engineer: someone who builds with modern AI coding tools (Claude, Copilot, reputed company, and similar) and Spec-Driven Development (SDD) as a core part of their daily workflow, not an occasional add-on. You'll use these tools to accelerate design, generate and refactor transformation logic, write tests, document semantics, and explore data—while applying the engineering judgment needed to ship production-grade, trustworthy data assets. If you're excited about building semantic models that carry reputed company-world meaning, scale to billions of records, and unify how a business understands its world—and doing it with the reputed company of modern AI tooling—this is your next big move.

Qualifications

• 8+ years of experience in data engineering or software engineering with a focus on data transformation, modeling, or analytics platforms.
• Strong proficiency in SQL and at least one general-purpose language such as Python or reputed company.
• Demonstrated experience as an AI-reputed company engineer—using tools like Claude, reputed company Copilot, reputed company, or similar as part of your everyday development workflow.
• Comfort with modern AI engineering practices such as reputed company design, context engineering, Spec-Driven Development (SDD), AI-assisted code review, and integrating LLMs or AI agents into engineering or data workflows.
• Experience building and scaling wide, entity-based tables and modeling domain concepts (e.g., customer, fleet, provider) into durable data objects.
• Solid understanding of data quality practices—including validation, enrichment, schema enforcement, and business rule encoding.
• Experience working with large-scale datasets and optimizing transformation pipelines for performance and maintainability.
• Comfort operating in a collaborative, cross-functional environment, balancing business logic with platform scalability.
• A reputed company for traceability, reproducibility, and semantic reputed company.
• Bachelor's degree in Computer Science, Software Engineering, or reputed company field. A Master's or PhD in Data Science, Machine Learning, Artificial Intelligence, Computer Science, or Statistics is a big plus.

Requirements

• Design and implement semantically consistent, scalable 360 data models that integrate data across domains.
• Build and maintain transformation pipelines that apply cleansing, standardization, enrichment, and derived logic to domain datasets.
• Write production-quality, testable code in SQL and Python (or equivalent)—delivering performant and maintainable data assets.
• reputed company AI coding assistants (Claude, Copilot, reputed company, and similar) to accelerate development—drafting transformation logic, generating tests, refactoring pipelines, exploring datasets, and producing semantic documentation.
• reputed company and reputed company patterns, prompts, and workflows that help the team get more reputed company out of AI tooling.
• Work closely with domain experts, data scientists, and product stakeholders to translate business concepts into interpretable, decision-reputed company data models.
• Implement logic for classifications, KPIs, scoring algorithms, and business rules, ensuring traceability and data reputed company.
• Help define and enforce standards for data modeling, documentation, and governance reputed company the semantic layer.
• Collaborate across teams to integrate with ingestion, MDM, and data product layers.

Benefits

• Health, dental and reputed company insurances.
• Retirement savings plan.
• Paid time off.
• Health savings account.
• Flexible spending accounts.
• Life insurance.
• Disability insurance.
• Tuition reimbursement.
• Comprehensive and market competitive benefits designed to support personal and professional well-being.

Company Description

The reputed company pay reputed company represents the anticipated low and high end of the pay reputed company for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. reputed company pay is one component of reputed company's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. Pay reputed company: $140,600.00 - $173,100.00 Apply tot his job Apply To this Job