Software Data Engineer

Advantage Technical; Santa Clarita (CA); Hybrid; USD 100,000 - 130,000; Part time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading technical staffing company is seeking a Medical Data Specialist II to provide essential technical guidance on data architecture and compliance. This hybrid role requires collaboration with IT leaders and business divisions to develop sustainable, data-driven solutions. Candidates should possess a degree in a relevant field and significant experience in data engineering, preferably in healthcare. Benefits include medical and vision insurance, as well as a 401(k) plan.

Qualifications

• 5+ years of experience in data engineering.
• Preferred: Experience working with regulated healthcare data (HIPAA, FDA 21 CFR Part 11).

Responsibilities

• Provide technical guidance on data architecture, models, and metadata management.
• Define and implement data flows across digital products.
• Participate in data modeling and testing activities.
• Ensure data accuracy and compliance with teams.
• Build data pipeline frameworks to automate data delivery.
• Transform complex models into scalable solutions.

Skills

ETL Development

Data Modeling

Cloud Platforms

Programming

APIs & Integration

AWS Tools

Experience with additional tools

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or Bioinformatics

Tools

PostgreSQL

MySQL

MongoDB

DynamoDB

Spark

Scala

Python

AWS Glue

AWS EMR

AWS S3

AWS Lambda

AWS ECS

Job description

Medical Data Specialist II

Location: Hybrid – 3 days onsite in Valencia, CA

Position Overview

We are seeking a Medical Data Specialist II to provide technical guidance on data architecture, data models, and metadata management. This role will partner with senior IT and business leaders to define and implement data flows, support data modeling and testing, and deliver sustainable, data-driven solutions using modern technologies. The position requires strong collaboration with product managers, database teams, and business divisions to ensure accurate, compliant, and scalable data solutions.

Key Responsibilities

• Provide technical guidance on data architecture, data models, and metadata management.
• Define and implement data flows across digital products.
• Participate in data modeling and testing activities.
• Extract relevant data to solve analytical problems and ensure development teams have required datasets.
• Collaborate with business divisions to translate CRM data requirements into IT data structures and models.
• Work closely with database teams to ensure data accuracy, cleanliness, and compliance.
• Track analytics impact on business performance and monitor market trends.
• Develop sustainable, data-driven solutions using next‑generation technologies.
• Build data pipeline frameworks to automate high‑volume and real‑time data delivery (Hadoop, streaming hubs).
• Design robust systems with long‑term maintenance and support in mind.
• Build data APIs and delivery services to support operational and analytical applications.
• Transform complex analytical models into scalable, production‑ready solutions.
• Continuously integrate and ship code into on‑premise and cloud environments.
• Develop applications from the ground up using modern technology stacks (Scala, Spark, Postgres, AngularJS, NoSQL).
• Collaborate directly with Product Managers and customers to deliver data products in an agile environment.

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, Bioinformatics, or related field.
• 5+ years of experience in data engineering.
• Preferred: Experience working with regulated healthcare data (HIPAA, FDA 21 CFR Part 11).

Core Technical Skills

• ETL Development: Proficiency in building robust pipelines.
• Data Modeling: Strong knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) data models, especially clinical/device schemas (FHIR, HL7, OMOP).
• Cloud Platforms: Experience with HIPAA‑compliant cloud services.
• Programming: Strong Python and SQL skills; Spark or Scala preferred.
• APIs & Integration: RESTful APIs, HL7/FHIR data ingestion, integration with EHRs and medical devices.
• AWS Tools: Python, AWS Glue, EMR, S3, Lambda, ECS.
• Additional Tools: Experience with Flink, Kafka, Spark, or Terraform.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Medical Equipment Manufacturing

Benefits

• Medical insurance
• Vision insurance
• 401(k)

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