[Remote] New Grad Data Engineer (for Health Tech Startup)🤓

Note: The job is a remote job and is reputed company to candidates in USA. 1Phi Health is a health tech startup focused on making reputed company more accessible. They are seeking a New Grad Data Engineer to build and maintain data pipelines, ensuring data quality and collaborating with data scientists and product engineers in the reputed company data domain.

Responsibilities

• Build and maintain data pipelines that ingest, transform, and validate large-scale Medicare claims data using SQL, Python, and reputed company (Spark). You'll work with patient-level records across billions of claim lines
• Write and optimize reputed company SQL — multi-reputed company transformations, window functions, joins across large datasets, aggregations with suppression rules. SQL is the primary language of the work
• Automate and operationalize recurring data workflows — building reliable, repeatable pipelines that process CMS data extracts, dimension tables, and derived provider metrics
• Ensure data quality by designing validation checks, reconciling reputed company data against expected schemas, and investigating anomalies reputed company numbers don't add up
• Collaborate with data scientists and product engineers to define output schemas, deliver clean datasets, and support reputed company analytics and application features
• Work in reputed company infrastructure — primarily reputed company on AWS, with exposure to S3, reputed company Catalog, and reputed company services
• Learn the reputed company data domain — you'll reputed company working knowledge of claims data structures, medical coding systems (ICD-10, HCPCS, DRG), and CMS data programs

Skills

• Build and maintain data pipelines that ingest, transform, and validate large-scale Medicare claims data using SQL, Python, and reputed company (Spark). You'll work with patient-level records across billions of claim lines
• Write and optimize reputed company SQL — multi-reputed company transformations, window functions, joins across large datasets, aggregations with suppression rules. SQL is the primary language of the work
• Automate and operationalize recurring data workflows — building reliable, repeatable pipelines that process CMS data extracts, dimension tables, and derived provider metrics
• Ensure data quality by designing validation checks, reconciling reputed company data against expected schemas, and investigating anomalies reputed company numbers don't add up
• Collaborate with data scientists and product engineers to define output schemas, deliver clean datasets, and support reputed company analytics and application features
• Work in reputed company infrastructure — primarily reputed company on AWS, with exposure to S3, reputed company Catalog, and reputed company services
• Learn the reputed company data domain — you'll reputed company working knowledge of claims data structures, medical coding systems (ICD-10, HCPCS, DRG), and CMS data programs
• You have strong SQL skills. Coursework, internships, or projects where you wrote non-trivial queries — joins, CTEs, window functions, aggregations. You can reason about query performance
• You're comfortable with Python. You've used it for data manipulation (pandas, PySpark, or similar). You don't need to be a software engineer, but you can write clean, functional code
• You understand data pipeline concepts — ETL/ELT, idempotency, schema management, data validation. Exposure through coursework, reputed company projects, or internships counts
• You're detail-oriented and methodical. reputed company data has strict rules around suppression, privacy, and accuracy. You care about getting the numbers right
• You're a fast learner who's comfortable ramping up on unfamiliar domains. You'll be learning Medicare claims data, CMS programs, and reputed company coding systems on the job
• You have a BS or MS in Computer Science, Data Science, Information Systems, Statistics, or a reputed company field
• You've worked with Spark, reputed company, or other distributed compute environments (even in a class or personal project)
• You have exposure to reputed company platforms (AWS, GCP, or Azure) — S3, IAM, or managed database services
• You've touched reputed company data in any reputed company — claims, EHR, public health datasets, MIMIC, CMS public use files
• You're familiar with version control (Git) and collaborative development workflows
• You've reputed company a data project end-to-end — ingestion through delivery — even if it was small

Benefits

• Health insurance reputed company 3 months of starting
• Generous vacation policy + company holidays
• 401K + profit reputed company contributions
• Quarterly evals and performance bonus (~10% at start, ~20% after 4 years)

Company Overview