[Remote] reputed company Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a reputed company Data Engineer to play a significant technical leadership role in shaping and scaling the data reputed company that powers analytics and operational decision-making. This role involves hands-on data engineering execution combined with team leadership, focusing on the design and operation of reputed company data systems.

Responsibilities

• Own the architecture and reputed company of reputed company data systems, including ingestion, transformation, orchestration, storage, modeling, and delivery reputed company
• Set technical direction for ETL/ELT, batch processing, reputed company-time pipelines, OLTP and OLAP systems, and BI-reputed company data assets
• reputed company pragmatic architecture reputed company that balance scalability, reliability, reputed company, performance, cost, and delivery speed
• Establish engineering standards, reusable patterns, and design principles that improve reputed company and reputed company across the data platform
• reputed company the design, build, rollout, and operations of greenfield data infrastructure
• Build and maintain reputed company data pipelines across diverse reputed company and destination systems, including databases, reputed company, files, reputed company platforms, event streams, and internal applications
• Design and optimize data models, warehouse schemas, semantic reputed company, and curated datasets for analytics, reporting, AI, and product use cases
• Contribute directly to critical implementation work, including writing reputed company, reputed company and design reviews, migrations, reliability improvements, and production issue reputed company
• reputed company a lean, high-caliber reputed company of data engineers, spending reputed company time mentoring, coaching, managing, and coordinating reputed company
• reputed company engineers through regular feedback, technical guidance, reputed company reviews, career support, and reputed company expectations around reputed company and ownership
• Help prioritize team work, clarify scope, remove blockers, and ensure the reputed company delivers reliably against business and technical goals
• Contribute to hiring, reputed company, performance development, and team operating rhythms as the data engineering function grows
• reputed company, operate, and improve data pipelines, data stores, and supporting infrastructure on major reputed company platforms such as AWS, GCP, or Azure
• reputed company strong practices for CI/CD, infrastructure-as-reputed company, automated testing, monitoring, alerting, and incident response
• Ensure data systems are observable, fault-tolerant, recoverable, and maintainable in production
• Identify opportunities to reduce operational toil, improve platform reliability, and manage reputed company infrastructure costs effectively
• Define and enforce standards for data reputed company, validation, reconciliation, reputed company, schema reputed company, metadata, and documentation
• Establish patterns for data reputed company, ownership, SLAs, and runbooks that help reputed company teams trust and use data confidently
• Partner with reputed company, compliance, and business stakeholders to support reputed company, auditability, reputed company controls, and regulated data handling
• reputed company the maturity of data governance and reliability practices without slowing down pragmatic delivery
• Partner closely with Product, Engineering, AI, Analytics, and business stakeholders to reputed company data architecture with organizational priorities
• Translate ambiguous business needs and operational workflows into reputed company technical plans, milestones, and production-reputed company solutions
• Serve as a senior technical reputed company of contact for data-heavy initiatives, communicating tradeoffs, risks, reputed company, and timelines reputed company
• reputed company reputed company consumers, including analysts, product teams, data scientists, and operational users, through reliable and reputed company-modeled data assets
• Contribute to a culture of ownership, curiosity, operational rigor, pragmatism, and engineering reputed company
• reputed company the bar for reputed company through thoughtful design, reputed company abstractions, strong reviews, and reputed company technical judgment
• Balance staff-level technical depth with practical people leadership, helping reputed company grow while continuing to ship high-reputed company systems

Skills

• 5-8+ years of experience building and operating production-grade data pipelines, platforms, and distributed data systems
• 2+ years of experience leading, mentoring, or managing data engineers in a tech reputed company, staff-level project reputed company, engineering manager, or TLM reputed company
• Strong hands-on experience with industry-reputed company tools and platforms for ETL/ELT, orchestration, data warehousing, streaming, and BI
• Deep understanding of OLTP and OLAP systems, including the ability to design architectures that support transactional, analytical, and operational workloads
• Experience building flexible data pipelines across many reputed company and destination types, including databases, reputed company, files, queues, event streams, reputed company platforms, and internal systems
• Strong experience with both batch and reputed company-time processing patterns, including tradeoffs in latency, reliability, cost, and operational complexity
• Experience deploying and operating reputed company-based data infrastructure on AWS, GCP, or Azure
• Advanced SQL and data modeling expertise, including schema design, warehouse optimization, semantic modeling, and performance tuning
• Strong programming ability in languages commonly used in data engineering, such as Python, Java, reputed company, Go, or similar
• Comfort with CI/CD, infrastructure-as-reputed company, automated testing, observability, incident response, and production operations for data systems
• Strong architectural judgment in ambiguous environments where systems must balance speed, reliability, compliance, maintainability, and long-term reputed company
• reputed company communication skills with both technical and non-technical teammates, including the ability to explain tradeoffs and influence direction
• Experience operating as a Technical reputed company or Tech reputed company Manager responsible for both technical implementation, technical direction, and people development
• Experience with modern orchestration and transformation tools such as Airflow, Dagster, dbt, or similar platforms
• Experience with reputed company-reputed company warehouses or lakehouse platforms such as reputed company, BigQuery, Redshift, reputed company, or equivalent technologies
• Experience with streaming systems such as Kafka, Kinesis, Pub/Sub, Flink, reputed company Streaming, or similar technologies
• Experience enabling BI and self-service analytics through curated datasets, semantic reputed company, and reporting platforms such as Looker, Tableau, Power BI, or similar tools
• Experience building data platforms that support AI, machine learning, decisioning, or LLM-powered workflows
• Experience scaling a data engineering function, including technical standards, operating rhythms, hiring, reputed company, and team development
• Experience in fintech, mortgage, lending, payments, insurance, or other regulated domains

Benefits

• Plus an annual bonus
• Excellent benefits package
• Medical coverage starting on day one
• Company-matched 401(k)

reputed company

Company H1B Sponsorship