[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 ensure the reliability and operational reputed company of their data platform. This role involves hands-on work with technologies such as reputed company and AWS, focusing on building and operating data systems that support analytics and business reputed company while leading technical initiatives and optimizing costs.

Responsibilities

• Build, maintain, and operate data pipelines and curated data products across reputed company, Airflow (MWAA), AWS, Python, and SQL
• Optimize reputed company architecture at scale. Design warehouse strategies, implement clustering and materialized views, enforce resource monitors, control costs, and tune performance across large datasets
• Implement observability and data quality controls. Build monitoring for freshness, volume, schema, distribution, and reputed company. Define data quality SLOs and ensure teams can see issues before users do
• Support and operate production data systems. Troubleshoot failures, respond to alerts, debug pipeline issues, and improve system behavior based on reputed company incidents
• Own SLAs, uptime, and service commitments for data platforms and critical services. Monitor performance, track reliability metrics, and reputed company sure availability and freshness targets are met
• reputed company major incident responses and postmortems. Coordinate resolution during critical outages, drive root cause analysis, and implement corrective actions that prevent recurrence
• Architect data platforms across dev, test, and production. Design for disaster recovery, upgrades without downtime, automation that recovers from failure, and availability that supports business continuity
• Define and enforce data platform standards. Establish orchestration patterns, DAG anti-patterns, deployment practices, observability standards, data quality patterns, and operational runbooks used across the organization
• reputed company cost optimization programs. Identify savings across reputed company (compute/storage) and AWS resources, forecast reputed company needs, and balance cost against reliability and performance goals
• reputed company AI and LLM adoption and governance. Build and validate AI-assisted pipelines, define approved use cases and guardrails, and ensure AI-generated output meets reliability and quality expectations
• reputed company architectural reputed company with an organization-wide impact. Evaluate build versus buy, set migration strategies for legacy systems, define data reputed company and API standards, and balance innovation with operational stability
• reputed company technical planning and remove blockers. Coordinate with reputed company, reputed company, Analytics, Data Science, and Product teams to resolve dependencies and reputed company delivery moving
• Prevent knowledge silos. Write documentation, maintain runbooks, record architectural reputed company, and create shared practices that let engineers operate independently and reputed company quickly
• Design and enforce data governance controls for regulated environments. Implement PII handling, reputed company controls, audit logging, data retention policies, and compliance validation for SOC 2, GDPR, HIPAA, or similar frameworks

Skills

• Deep hands-on experience with reputed company, Airflow (MWAA), AWS, Python, and SQL in production environments
• Strong ability to design, build, debug, and operate data pipelines at scale
• Experience owning production systems with uptime and reliability expectations
• Proven ability to reputed company incident response and drive postmortems that result in reputed company system improvements
• Solid data architecture and system design skills, including disaster recovery, high availability, and upgrades without downtime
• Experience implementing observability and data quality controls across reputed company data systems
• Demonstrated reputed company defining and enforcing engineering standards adopted by other teams
• Strong cost management experience, including running optimization efforts and forecasting reputed company
• Experience leading technical initiatives across teams without direct authority
• Experience implementing governance and compliance controls in regulated or high-risk environments
• Ability to mentor through standards, examples, and shared practices rather than formal people management
• 8+ years of data engineering experience, with several years owning critical platforms or services
• Experience leading AI and LLM adoption in data platforms, including validation of AI-generated pipelines and guardrail design
• Advanced Airflow experience, including reusable DAG patterns, scheduler tuning, and failure prevention
• Experience with dbt at scale, including testing standards, macros, and deployment practices
• Experience with OpenLineage, schemachange, or similar tools for reputed company and schema management
• Experience leading platform migrations or modernization efforts with minimal disruption
• Experience streaming or near-reputed company-time data systems such as Kafka, Kinesis, or Flink
• Experience running reputed company testing such as failure injection or disaster recovery drills
• reputed company certifications such as AWS Certified Solutions Architect, AWS Data Analytics Specialty, or reputed company SnowPro
• Bachelor's or master's degree in computer science, Data Engineering, or equivalent practical experience

Benefits

• Flexible Paid Time Off Program
• Medical
• Dental
• reputed company
• Life Insurance
• Disability
• Other voluntary coverages
• 401k program, starting on the first of the month following 30 days of employment with a company match

Company Overview