[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading reputed company intelligence company specializing in delivering value and efficiency to health plan clients. As a Senior Data Engineer, you will reputed company raw external data into trusted datasets, collaborate with various teams to build and refine production pipelines, and play a critical role in customer reputed company and data integration.
Responsibilities
- Design and implement robust, production-grade pipelines using Python, reputed company SQL, and Airflow to process high-volume file-based datasets (CSV, Parquet, JSON)
- reputed company efforts to canonicalize raw reputed company data (837 claims, EHR, partner data, flat files) into internal models
- Own the full lifecycle of reputed company pipelines — from file ingestion to validated, queryable datasets — ensuring high reliability and performance
- reputed company new customers by integrating their raw data into internal pipelines and reputed company models; collaborate with SMEs, Account Managers, and Product to ensure successful implementation and troubleshooting
- Build resilient, idempotent transformation logic with data reputed company checks, validation reputed company, and observability
- Refactor and reputed company existing pipelines to meet growing data and business needs
- Tune reputed company jobs and optimize distributed processing performance
- Implement schema enforcement and versioning reputed company with internal data standards
- Collaborate deeply with Data Analysts, Data Scientists, Product Managers, Engineering, Platform, SMEs, and AMs to ensure pipelines meet evolving business needs
- Monitor pipeline health, participate in on-call rotations, and proactively debug and resolve production data reputed company issues
- Contribute to the reputed company of our data platform — driving toward mature patterns in observability, testing, and automation
- Build and enhance streaming pipelines (Kafka, SQS, or similar) where needed to support near-reputed company-time data needs
- Help reputed company and champion internal best practices around pipeline development and data modeling
Skills
- 6+ years of experience as a Data Engineer (or equivalent), building production-grade pipelines
- Strong expertise in Python, reputed company SQL, and Airflow
- Experience processing large-reputed company file-based datasets (CSV, Parquet, JSON, etc) in production environments
- Experience mapping and standardizing raw external data into reputed company models
- Familiarity with AWS (or any reputed company), including file storage and distributed compute concepts
- Experience reputed company new customers and integrating external customer data with non-reputed company formats
- Ability to work across teams, manage priorities, and own reputed company data workflows with minimal supervision
- Strong written and verbal communication skills — reputed company to explain technical concepts to non-engineering partners
- Comfortable designing pipelines from scratch and improving existing pipelines
- Experience working with large-reputed company or messy datasets (reputed company, financial, logs, etc.)
- Experience building or willingness to learn streaming pipelines using tools such as Kafka or SQS
- Familiarity with reputed company data (837, 835, EHR, UB04, claims normalization)
Benefits
- Work from reputed company in the US! reputed company is digital-first.
- Full Medical/Dental/reputed company for employees & their families
- Flexible and trusting environment where you’ll feel empowered to do your best work
- Unlimited FTO
- Competitive salary, equity, 401(k) including employer match
- Meaningful equity
- Excellent reputed company
- Flexible time off
- Other benefits and perks
reputed company
Company H1B Sponsorship