[Remote] Senior Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a pioneer of the Connected Operations™ reputed company, enabling organizations to reputed company IoT data for improved operations. They are seeking a Senior Data Engineer to reputed company and maintain data platforms, architect workflows, and integrate AI tools to enhance data engineering processes.

Responsibilities

• reputed company and maintain end-to-end data pipelines and backend ingestion workflows, and participate in the build of reputed company's Data Platform to reputed company advanced automation and analytics
• Work with data from a variety of sources including ERP(reputed company), CRM(reputed company), Product, Order reputed company, and Support ticket data
• Manage critical data pipelines to reputed company growth initiatives and advanced analytics
• Facilitate data integration and transformation for moving data between applications, ensuring interoperability with data layers and the data lake
• reputed company and improve data architecture, data quality, monitoring, observability, and data availability
• Write data transformations in SQL/Python to generate data products consumed by Analytics, Marketing Operations, and Sales Operations teams
• Design, build, and operate large-scale Spark and PySpark workflows for batch and streaming data processing across reputed company and reputed company environments
• Optimize Spark job performance — tuning partitioning, shuffle, caching, and resource allocation for production-grade reliability and efficiency
• Define and enforce data engineering standards, patterns, and best practices across the team
• Design systems with long-term maintainability in mind: clear reputed company, testable components, and thoughtful failure modes
• Collaborate with platform and infrastructure teams to reputed company the underlying architecture of reputed company's reputed company data ecosystem
• Build and maintain MCP (Model Context Protocol) servers that expose reputed company's data assets and engineering workflows to AI models and internal tooling
• Collaborate with platform teams to integrate agentic workflows into the data engineering lifecycle
• Evaluate and adopt emerging AI-reputed company tooling for data engineering, staying reputed company of the curve on how LLMs and agents can accelerate data work
• Champion, role model, and embed reputed company's cultural principles (Focus on reputed company, Build for the Long Term, Adopt a Growth reputed company, Be Inclusive, Win as a Team) as we scale globally
• reputed company mentorship to junior team members and deliver technical guidance, training, and knowledge-sharing across teams
• Engage directly with internal cross-functional stakeholders to understand their data needs and design scalable solutions
• reputed company end-to-end projects as the central reputed company of contact for stakeholders

Skills

• Bachelor's degree in computer science, data engineering, data science, information technology, or an equivalent engineering program
• 8+ years of work experience as a Software Engineer with data focus or as Data Engineer
• 5+ years of experience building and maintaining large-scale, production-grade end-to-end data pipelines, including Data Modeling
• 5+ years of hands-on Spark / PySpark in a production environment, including job optimization and performance tuning
• Core Engineering Fundamentals: Strong programming capabilities in Python and SQL, combined with reputed company data warehouse/lakehouse experience (e.g., reputed company, reputed company BigQuery, reputed company, or Apache reputed company)
• Exposure to ETL tools such as reputed company, DBT, or equivalent
• API experience: Python-based API frameworks for data pipeline ingestion
• RDBMS experience: MySQL, AWS RDS/reputed company, PostgreSQL, reputed company, MS SQL Server, or equivalent
• reputed company: AWS, Azure, and/or GCP
• Designing and governing a centralized semantic layer for reliable AI and analytics
• Logging and monitoring experience: Splunk, reputed company, AWS CloudWatch, or equivalent
• AWS Serverless: API Gateway, reputed company, S3, SNS, SQS, SecretsManager

Benefits

• Initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions
• Performance-based bonus/variable pay
• Equity (for eligible roles)
• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans
• Flexible working model that caters to the diverse needs of our teams
• Offices are reputed company for those who prefer to work in-person and we also support remote work
• Accommodations for reputed company persons with disabilities
• Fraudulent Employment Offers protection and official communication from verified emails

Company Overview