Data Engineer

Data Engineer
Data Engineer
Full Time
USA

Data Engineer (US Healthcare)

About the Role

We are looking for an offshore Data Engineer with experience in US healthcare data to help design, build, and maintain scalable data infrastructure that powers analytics, reporting, and operational decision making. This role partners closely with US based analytics and product teams and requires strong technical fundamentals, a strong data modeling mindset, and familiarity with healthcare data privacy standards.

What You Will Do

  • Build, optimize, and maintain reliable data pipelines that support analytics, reporting, and downstream applications
  • Translate raw healthcare data (claims, eligibility, enrollment, clinical, and financial data) into well defined core data models that serve as a source of truth for analytics and reporting
  • Design and develop reusable, abstracted data models and datasets to enable consistent analytics and self service reporting
  • Define and implement a federated data validation and data quality framework to proactively identify inconsistencies and anomalies
  • Partner with analytics and business stakeholders to understand healthcare data semantics and translate business requirements into scalable technical solutions
  • Ensure data privacy, security, and compliance through adherence to best practices and regulatory requirements
  • Monitor, troubleshoot, and improve data pipeline performance and reliability

Technologies We Use

  • SQL
  • Python
  • Microsoft Fabric (Lakehouse, Pipelines, Warehouses)
  • Cloud based data warehouses and orchestration tools

What You Will Bring

  • 2 plus years of experience in data engineering or software engineering
  • Strong expertise in SQL and Python
  • Hands on experience building scalable data pipelines, query optimization, and defining reusable datasets
  • Experience translating raw healthcare data sources (claims, eligibility, enrollment, clinical, and financial files) into normalized and analytics ready core data models
  • Experience with distributed data processing, data warehousing, and data governance concepts
  • Experience working with orchestration tools (Airflow preferred)
  • Experience with relational databases (PostgreSQL preferred) and cloud data warehouses (Snowflake preferred)
  • Familiarity with medallion or event driven data architectures and telemetry or monitoring practices
  • Experience working with US healthcare or insurance data
  • Understanding of data security best practices and HIPAA compliance requirements
  • Strong attention to data quality, documentation, and operational excellence
  • Ability to collaborate effectively with US based teams across time zones

Transforming Jobs into Journeys

We’re not just a workplace; we're a dynamic community of visionaries, collaborators, and go-getters. We don't just offer jobs; we craft careers. Our commitment to your professional development is unwavering, with mentorship programs, ongoing learning initiatives, and a culture that thrives on pushing boundaries.

Meet the DynaTechies

DynaTechies

CRM Developer

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Joining DynaTech was like stepping into a creative wonderland. The emphasis on design thinking and user-centric solutions is refreshing. The freedom to explore new ideas, coupled with the continuous learning opportunities, has empowered me to push boundaries and create impactful experiences.

DevOps Engineer

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Working as a DevOps engineer at DynaTech has been a journey of continuous improvement. The focus on automation and the integration of development and operations creates an environment that values efficiency and innovation.

HR Specialist

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Joining DynaTech’s HR team has been a fulfilling journey. The company’s emphasis on diversity and inclusion is not just a policy; it’s a lived reality. From onboarding to career development, DynaTech invests in its employees, creating a workplace where every individual’s unique strengths are valued.

Data Engineer

Data Engineer
Data Engineer
Full Time
USA

Data Engineer (US Healthcare)

About the Role

We are looking for an offshore Data Engineer with experience in US healthcare data to help design, build, and maintain scalable data infrastructure that powers analytics, reporting, and operational decision making. This role partners closely with US based analytics and product teams and requires strong technical fundamentals, a strong data modeling mindset, and familiarity with healthcare data privacy standards.

What You Will Do

  • Build, optimize, and maintain reliable data pipelines that support analytics, reporting, and downstream applications
  • Translate raw healthcare data (claims, eligibility, enrollment, clinical, and financial data) into well defined core data models that serve as a source of truth for analytics and reporting
  • Design and develop reusable, abstracted data models and datasets to enable consistent analytics and self service reporting
  • Define and implement a federated data validation and data quality framework to proactively identify inconsistencies and anomalies
  • Partner with analytics and business stakeholders to understand healthcare data semantics and translate business requirements into scalable technical solutions
  • Ensure data privacy, security, and compliance through adherence to best practices and regulatory requirements
  • Monitor, troubleshoot, and improve data pipeline performance and reliability

Technologies We Use

  • SQL
  • Python
  • Microsoft Fabric (Lakehouse, Pipelines, Warehouses)
  • Cloud based data warehouses and orchestration tools

What You Will Bring

  • 2 plus years of experience in data engineering or software engineering
  • Strong expertise in SQL and Python
  • Hands on experience building scalable data pipelines, query optimization, and defining reusable datasets
  • Experience translating raw healthcare data sources (claims, eligibility, enrollment, clinical, and financial files) into normalized and analytics ready core data models
  • Experience with distributed data processing, data warehousing, and data governance concepts
  • Experience working with orchestration tools (Airflow preferred)
  • Experience with relational databases (PostgreSQL preferred) and cloud data warehouses (Snowflake preferred)
  • Familiarity with medallion or event driven data architectures and telemetry or monitoring practices
  • Experience working with US healthcare or insurance data
  • Understanding of data security best practices and HIPAA compliance requirements
  • Strong attention to data quality, documentation, and operational excellence
  • Ability to collaborate effectively with US based teams across time zones

Life at DynaTech

Dynamic Work Environment

Dynamic Work Environment

Culture of Collaboration

Culture of Collaboration

Continuous Learning Opportunities

Continuous Learning Opportunities

Employee Wellness Programs

Employee Wellness Programs

Celebrating Milestones

Celebrating Milestones

Work-Life Balance

Work-Life Balance

Meet the
DynaTechies

Testimonial

“Joining DynaTech was like stepping into a creative wonderland. The emphasis on design thinking and user-centric solutions is refreshing. The freedom to explore new ideas, coupled with the continuous learning opportunities, has empowered me to push boundaries and create impactful experiences.”

CRM Developer

Testimonial Image

“Working as a DevOps engineer at DynaTech has been a journey of continuous improvement. The focus on automation and the integration of development and operations creates an environment that values efficiency and innovation.”

CRM Developer

Testimonial Image

“Joining DynaTech’s HR team has been a fulfilling journey. The company’s emphasis on diversity and inclusion is not just a policy; it’s a lived reality. From onboarding to career development, DynaTech invests in its employees, creating a workplace where every individual’s unique strengths are valued.”

CRM Developer

Get In Touch Get In Touch

Get In Touch