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Senior Data Engineer – AWS Infrastructure

Build the Future with AspenView Technology Partners

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Aspenview Technology Partners Source published Sep 20, 2026 Verified 8 hours ago
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Overview

Build the Future with AspenView Technology Partners

Full job description

Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people. Here’s what you can expect: Competitive base Comprehensive benefits and wellness support Flexible work model: hybrid, remote, or in-office Real growth opportunities and leadership visibility Inclusive, respectful culture that blends U.S. innovation with Colombian heart A company that listens, invests in you, and celebrates wins together About the Role We are looking for a Data Engineer with strong AWS infrastructure expertise to design, build, and operate the cloud data platform that powers analytics and reporting for a U.S. healthcare client. In this role, you will own the end-to-end data pipeline lifecycle—from ingesting healthcare data feeds to modeling and serving curated datasets—while ensuring the platform meets rigorous HIPAA and HITRUST security and compliance standards. You will work closely with data analysts, platform engineers, and client stakeholders in a collaborative, agile environment where reliability, data quality, and compliance are paramount. What You Will Do Data Platform Engineering Design, build, and maintain scalable data pipelines on AWS using S3, Glue, Redshift, Athena, and EMR. Develop and optimize ETL/ELT workflows to ingest, transform, and curate structured and semi-structured data at scale. Tune Redshift and Athena workloads for performance and cost efficiency across the platform. Infrastructure as Code & Orchestration Provision and manage AWS data infrastructure using Terraform and/or CloudFormation, following infrastructure-as-code best practices. Build, schedule, and monitor workflow orchestration with Apache Airflow, including DAG design, dependency management, and alerting. Implement CI/CD practices for data pipeline code and infrastructure changes. Healthcare Data Integration Ingest and process healthcare data feeds from EHR systems, including FHIR and HL7 interfaces. Collaborate with client teams to map, validate, and reconcile clinical and operational data sources. Security & Compliance Implement and maintain HIPAA and HITRUST controls across the data platform, including encryption, access management, auditing, and data retention. Partner with security and compliance teams to support audits, risk assessments, and remediation efforts. Collaboration & Quality Establish data quality checks, monitoring, and observability across pipelines. Document architecture, data flows, and operational runbooks; contribute to engineering standards and peer reviews. What You Bring Education Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience. Experience 4+ years of experience in data engineering, with at least 2 years building data platforms on AWS. Proven experience operating production data pipelines at scale in cloud environments. Experience working with healthcare data and regulated environments is strongly preferred. Technical Expertise Strong hands-on experience with the AWS data stack: S3, Glue, Redshift, Athena, and EMR. Proficiency with infrastructure as code using Terraform and/or CloudFormation. Solid experience building and operating workflows with Apache Airflow. Strong SQL skills and proficiency in Python (or a comparable language) for data processing. Working knowledge of HIPAA/HITRUST security controls and data privacy practices. Familiarity with healthcare interoperability standards such as FHIR, HL7, and EHR data models. Certifications AWS certifications (e.g., AWS Certified Data Engineer, Solutions Architect) are a plus. Security or healthcare compliance certifications (e.g., HITRUST, CHDA) are a plus. Visa Sponsorship AspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future. Equal Opportunity Employer AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact.

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