Senior Data Engineer

Senior Data Engineer – Healthcare Technology

Elevated Hires is recruiting a Senior Data Engineer for a healthcare technology organization building scalable data systems and clinical integrations. This role is suited for a hands-on engineer who can design foundational healthcare data architecture, build production-grade pipelines, and solve complex technical problems with practical, high-quality solutions.

Key Responsibilities

Design, build, optimize, and maintain reliable, scalable, and secure data architecture.

Design and evolve core healthcare data models, schemas, entities, tables, and relationships from the ground up.

Translate clinical, operational, product, and reporting needs into scalable data structures.

Build and maintain production-grade pipelines to ingest, process, enrich, and transform high volumes of healthcare data.

Normalize clinical, claims, and operational data into industry-standard formats, including TUVA, OMOP, and FHIR.

Develop direct integrations with EMR/EHR platforms and support secure extraction and write-back workflows.

Build reliable bi-directional clinical data exchange processes with validation, monitoring, security, and error handling.

Establish data quality standards, monitoring, and validation processes for accuracy, completeness, and consistency.

Improve data-system performance through query tuning, indexing, and partitioning strategies.

Design and deploy secure cloud infrastructure using infrastructure-as-code practices.

Ensure compliance with healthcare data regulations and security best practices.

Qualifications

Deep, hands-on experience working with healthcare data and healthcare data standards or common data models, such as TUVA, OMOP, or FHIR.

Experience transforming raw clinical, claims, or operational data into standardized structures.

Demonstrated experience designing core data models and schemas from scratch.

Experience resolving data-quality, normalization, terminology, and structural inconsistencies in healthcare data.

Hands-on experience integrating directly with EMR/EHR platforms and building bi-directional integrations.

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent work experience.

At least five years of dedicated professional experience in a Data Engineering role.

Expert SQL skills and proficiency in Python or Scala for data processing.

Experience designing and managing data warehouses, including Snowflake, Google BigQuery, or AWS Redshift.

Experience with data lake technologies, including S3 or Delta Lake.

Hands-on experience with Apache Spark or Dask.

Deep knowledge of AWS and cloud-native development, including S3, Lambda, and RDS.

Experience with Apache Airflow or AWS Step Functions for data-pipeline orchestration.

Strong knowledge of system architecture, scalability, and data-system performance optimization.

Experience with test automation, CI/CD, and DevOps practices for data deployments.

Ability to work independently and make high-impact technical decisions.

Legal authorization to work in the United States without current or future employer sponsorship.

Preferred Experience

Experience in a startup or fast-paced healthcare technology environment.

Experience integrating with eClinicalWorks, AthenaOne, Epic, or comparable EMR platforms.

AI Usage & Candidate Authenticity:

AI tools may be used to format resumes or assist with drafting application materials; however, all submitted information must accurately reflect the candidate’s experience. Misrepresentation—including copied job descriptions or unverifiable work history—is not acceptable. Candidates must be prepared to clearly and confidently discuss all experience listed. Elevated Efforts may request work samples, portfolio links, or other forms of validation during the hiring process.

Use of AI tools during interviews or assessments is prohibited unless explicitly permitted and will result in disqualification.

Work Authorization: Candidates must be U.S. citizens or lawful permanent residents (green card holders) and authorized to work in the United States on a permanent basis. Visa sponsorship, visa transfers, and other employment-based immigration support are not available for this position.