Data Modeler

Remote • Posted 2 hours ago • Updated 50 minutes ago

Contract W2

Contract Independent

Contract Corp To Corp

Remote

Depends on Experience

Magicforce

Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

Data Modeler
Lambda
Redshift
Glue
RDS

Summary

Job Title: AWS Data Engineer with Data Modelling Exp.

Location: Remote

Duration: 12+Months

Start Date: ASAP.

Job Description

We are seeking a Senior Data & Cloud Engineer responsible for building and optimizing AWS-based data pipelines, SQL-driven analytics, and scalable integrations to support Life Sciences data workflows in collaboration with crossfunctional global teams

Mandatory skills

Experience Level 10+ years of experience in cloud engineering or data engineering roles.
AWS Services: Lambda, EC2, S3, Glue, RDS, Redshift, Step Functions (or equivalent combinations).
DBD (Database Design / Data Build Development): Strong data modelling & relational design skills.
SQL Expertise: Advanced querying, performance tuning, and data validation. Experience building cloud-native ETL pipelines or distributed data systems.
Understanding of healthcare data (preferred but not mandatory).

Roles and Responsibilities

Cloud & Data Engineering Design, develop, and maintain AWS-based data engineering pipelines, including ingestion, transformation, and validation workflows.
Build and optimize data models, DBD components, and SQL-based processing for Life Sciences datasets. Support secure and scalable integration with other companies tools, APIs, and data-sharing frameworks.
Design robust data validation structures to ensure accuracy, completeness, and auditability across all data flows.
Collaboration & Stakeholder Interaction Work directly with onsite team members (Mexico/US) for real-time clarification and delivery coordination.
Participate in requirement-gathering sessions and ensure solution alignment with Life Sciences workflows. Quality, Optimization & Delivery Contribute to API design, ETL optimization, and scalable architecture patterns.
Assist in documenting workflows, data lineage, dev standards, and deployment procedures. Troubleshoot production issues and implement preventative improvements

Contribute to internal enablement: documentation, code reviews, and mentoring on automation best practices.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91163955
Position Id: 8873215
Posted 2 hours ago

Company Info

About Magicforce

MagicForce, is a Global Information Technology (IT) Staffing & Recruiting Firm, providing IT Staffing, Consulting, and Recruiting services. Responding to constantly changing technology needs and initiatives using internal staff alone becomes a challenge for most companies and IT departments.

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