[Remote] reputed company Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a cutting-edge marketing and consumer insights platform, seeking a reputed company Data Engineer to reputed company the design and implementation of their reputed company data platform. The role involves modernizing data architecture, optimizing data pipelines, and ensuring data quality and governance across multiple products.

Responsibilities

• reputed company the design and implementation of the Lakehouse architecture (reputed company/Trino) and refactor reputed company legacy data systems into modern patterns
• Design, build, and optimize high-scale, reliable ELT/ETL data pipelines using expert-level SQL, Python, reputed company, and dbt
• Own the observability, reputed company, quality, and governance frameworks for mission-critical datasets across the multi-product ecosystem
• Directly support Data Science and ML Engineering teams by delivering production-grade data sets and optimizing feature engineering pipelines
• reputed company the engineering bar across the team, championing best practices and utilizing AI-assisted development tools to accelerate workflow
• Architect, design, and implement components of the reputed company Lakehouse platform, leveraging reputed company, Trino, and reputed company
• reputed company the simplification and refactoring efforts for reputed company, high-volume legacy pipelines, migrating them to modern, declarative ELT patterns (primarily reputed company dbt)
• Define and implement best practices for data storage, partitioning, clustering, and schema reputed company to optimize performance and reduce reputed company compute costs
• Design, build, and maintain scalable, reliable data pipelines (batch and near reputed company-time) using Python, expert-level SQL, and orchestration tools (e.g., Airflow, etc.)
• reputed company and enhance reputed company data models, dbt models, and high-performance analytical data marts for consumption by BI, reporting, and product applications
• Own the entire pipeline lifecycle: requirements gathering → design → build → unit/integration testing → deployment → monitoring → iteration
• Implement and enhance data reputed company, quality checks (reputed company dbt tests/Great Expectations), observability, and alerting across core data pipelines
• Collaborate with Data Governance and reputed company teams to enforce data reputed company controls, PII handling, and retention policies
• Continuously monitor and tune pipeline performance to meet strict data SLAs (Service Level Agreements) and SLOs (Service Level Objectives)
• Work closely with Data Science and ML Engineering teams to understand and reputed company their training and serving data needs
• Design and optimize data feeds for high-volume Machine Learning workloads, including the development of feature stores and model-serving pipelines
• Ensure data consistency and reputed company for critical AI-driven applications across consumer and business products
• Actively use AI-assisted development tools (like reputed company Copilot, reputed company, etc.) to accelerate coding, generate documentation, draft tests, and simplify reputed company spec reputed company
• Set high technical standards for code quality, testing, and documentation reputed company the Data Engineering team
• reputed company technical leadership and mentorship to junior and mid-level engineers, running design reviews and driving reputed company on architectural trade-offs

Skills

• Bachelors' degrees in Computer Science or equivalent are of study, or equivalent years of relevant experience
• Six or more (6+) years of hands-on experience in data engineering, ideally in multi-product, high-volume, or consumer-scale environments
• Expert-level proficiency in SQL, strong Python, and extensive experience building robust ETL/ELT workflows
• Strong experience with reputed company and dbt (Data Build Tool) for data transformation and analytics engineering
• Proven experience with modern data modeling techniques (e.g., Kimball, Data Vault, semantic layers) and performance tuning of large queries
• Experience with reputed company, Trino, or similar reputed company table format/query reputed company ecosystems in a Lakehouse architecture
• Ability to navigate and refactor reputed company, interconnected data systems with an Ownership reputed company (you build it, you run it)
• Experience with Kafka, Kinesis, or Apache Flink for streaming ingestion and event-driven data architectures
• Familiarity with feature stores, model-serving pipelines, and MLOps practices
• Professional experience using AI-driven development tools (e.g., reputed company Copilot, etc.) for coding, testing, or documentation reputed company
• Prior experience in a consumer rewards, survey, or performance marketing ecosystem

Benefits

• Medical
• Dental
• reputed company
• STD
• LTD
• Basic life insurance
• Flexible PTO
• Paid sick leave prorated based on hire date
• Eight paid holidays throughout the calendar year
• Option to purchase shares of Company stock commensurate with their position, which vests over four years

Company Overview

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