CA

careeco

Mid-Level Data Engineer – Healthcare Domain

Hyderabad · Entry Level

Older listing - lower visibility likelyVerified listingPosted 452d ago

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Skills required

17 listed

CI/CDAzure Data FactoryApache SparkDatabricksSQL (Programming Language)Current Procedural Terminology (CPT)ICD Coding (ICD-9/ICD-10)Extract Transform Load (ETL)+9 more

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Job description

About the Role

We are seeking a motivated and detail-oriented Mid-Level Data Engineer with 2–3 years of experience in designing, developing, and optimizing data pipelines within the healthcare domain. The ideal candidate will have hands-on experience with Databricks, strong SQL skills, and a solid understanding of healthcare data standards (e.g., HL7, EDI X12 – 837/835, HCC, CPT/ICD codes).

Key Responsibilities

Design, develop, and maintain scalable ETL/ELT pipelines using Databricks, PySpark, and Delta Lake for large-scale healthcare datasets.
Collaborate with data scientists, analysts, and product managers to understand data requirements and deliver clean, reliable data.
Ingest, process, and transform healthcare-related data such as claims (837/835), EHR/EMR, provider/member, and clinical datasets.
Implement data quality checks, validations, and transformations to ensure high data integrity and compliance with healthcare regulations.
Optimize data pipeline performance, reliability, and cost in cloud environments (preferably Azure or AWS).
Maintain documentation of data sources, data models, and transformations.
Support analytics and reporting teams with curated datasets and data marts.
Adhere to HIPAA and organizational standards for handling PHI and sensitive data.
Assist in troubleshooting data issues and root cause analysis across systems.

Required Qualifications

2–3 years of experience in a data engineering role, preferably in the healthcare or healthtech sector.
Hands-on experience with Databricks, Apache Spark (PySpark), and SQL.
Familiarity with Delta Lake, data lakes, and modern data architectures.
Solid understanding of healthcare data standards: EDI 837/835, CPT, ICD-10, DRG, or HCC.
Experience with version control (e.g., Git), CI/CD workflows, and task orchestration tools (e.g., Airflow, Azure Data Factory, dbt).
Ability to work with both structured and semi-structured data (JSON, Parquet, Avro, etc.).
Strong communication skills and ability to collaborate in cross-functional teams.

Education

Bachelor’s degree in Business Administration, Healthcare Informatics, Information Systems, or a related field.

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Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in

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ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

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Free · no signup

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Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.