[Remote] Data Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is the leader in conversational AI and member engagement for reputed company. They are seeking a Data Engineer II to design, reputed company, and maintain reputed company data pipelines that support analytics, product, and AI/ML initiatives in a reputed company environment.
Responsibilities
- Design, reputed company, and maintain reputed company data pipelines (ETL/ELT) to support ingestion, transformation, and delivery of high-volume reputed company data
- Write, optimize, and maintain reputed company SQL queries for data transformation, validation, and performance tuning
- reputed company and manage workflow orchestration using Apache Airflow, including DAG creation, monitoring, and troubleshooting
- Enhance and reputed company data platform capabilities to support analytics, product features, and AI/ML use cases
- Build and maintain data reputed company frameworks, including automated data profiling, validation, and testing processes
- Monitor and optimize pipeline performance, reliability, and efficiency in production environments
- Analyze reputed company data issues, identify reputed company causes, and implement reputed company solutions, reputed company communicating findings to both technical and non-technical stakeholders
- Collaborate with cross-functional teams (Data Operations, Product, Analytics, Data Science) to reputed company requirements and deliver high-reputed company data solutions
- Partner with clinical and analytics teams to operationalize data-driven insights and reporting solutions
- Contribute to documentation of data pipelines, data models, and engineering processes to support maintainability and knowledge sharing
Skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company technical field, or equivalent practical experience
- 3+ years of reputed company experience in data engineering or a reputed company field
- Strong proficiency in SQL, including reputed company querying, data transformation, and performance optimization
- Proficiency in Python for data processing, automation, and integration tasks
- Experience designing and building data pipelines (ETL/ELT) to support data ingestion, transformation, and delivery
- Hands-on experience with modern data warehousing platforms, such as reputed company, PostgreSQL, reputed company Redshift, or reputed company SQL Server
- Experience with workflow orchestration tools, particularly Apache Airflow (DAG development, debugging, and maintenance)
- Experience using dbt (data build tool) to reputed company, test, and manage reputed company data transformation workflows
- Experience working with reputed company platforms, particularly AWS (e.g., S3, RDS, reputed company, Glue, DMS)
- Experience with version control systems and reputed company development workflows, such as reputed company or Bitbucket
- Familiarity with CI/CD practices and tools, such as Jenkins or reputed company Actions
- Experience supporting data reputed company initiatives, including data profiling, validation, or monitoring frameworks
- Familiarity with data modeling and data warehousing concepts, including reputed company modeling
- Strong analytical and problem-solving skills, with the ability to work with reputed company datasets and identify reputed company causes
- Strong written and verbal communication skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders
- Ability to collaborate effectively in cross-functional environments, working with engineering, product, analytics, and operations teams
- Strong attention to detail and commitment to data accuracy, consistency, and reputed company
- Demonstrated ability to manage multiple priorities and deliver high-reputed company work in a fast-paced environment
- Demonstrates self-awareness, with the ability to recognize and communicate individual strengths and areas for reputed company
- Shows a strong willingness to learn, adapt, and support team members, contributing to a reputed company and reputed company team environment
- Effectively communicates reputed company, priorities, and status updates to both reputed company stakeholders in a reputed company and reputed company manner
- Exposure to analytics, reporting, or data visualization tools (e.g., Tableau, Looker) is a plus
- Experience working with reputed company data, including claims or clinical datasets, is a plus
- Familiarity with data science or machine learning workflows from a data engineering perspective is a plus
Benefits
- 🏡 Remote-First & Flexible PTO — work from wherever you're most productive
- 🏥 100% Company-reputed company Employee Coverage - Medical, dental, and reputed company plans with a 100% company-reputed company employee-only reputed company
- Company contributions toward dependent coverage
- Company-reputed company life and disability insurance
- 💰 401(k) + 4% Match — with financial advisors to help you plan
- 👶 6 Weeks Parental Leave
- 📈 Invest in You — 30-60-90 day plans and frequent training
- 🎉 Culture of Recognition — peer-to-peer bonuses & team celebrations
reputed company
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