Lead Data Engineer

🔥 0 minutes ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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athenahealth

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1997

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

💰 Post-IPO Equity on 2017-05

Healthcare • Healthcare Insurance • SaaS

athenahealth is a provider of healthcare software solutions focused on enhancing clinical effectiveness, patient experience, and financial performance. Its flagship product, athenaOne, is an all-in-one solution that includes electronic health records (EHR), revenue cycle management (RCM), and patient engagement tools. The company offers tailor-made solutions for various healthcare providers, ranging from small practices to large health systems and specialities like behavioral health and pediatrics. athenahealth also provides payer solutions, advisory services, and platform services to improve patient outcomes and reduce costs, while ensuring a highly reliable service with 99. 98% uptime. Their solutions also incorporate AI-powered features like Ambient Notes to streamline clinical documentation. With a focus on interoperability and efficiency, athenahealth aims to simplify healthcare delivery and improve outcomes for both providers and patients.

📋 Description

• Develop and support ETL workflows that extract, transform, and load data from legacy EHR systems into athenahealth environments • Write and maintain functions for data analysis, validation, reconciliation, and troubleshooting • Build Python and SQL scripts and utilities for import, migration, and automation activities • Partner with sales, product, operational, implementation, and engineering teams to define source-to-target mappings, business rules, and migration requirements • Review inbound and outbound data to identify gaps, defects, and transformation issues • Support interoperability workflows using HL7 and FHIR standards • Perform EHI export-related tasks and validate output for completeness and accuracy • Investigate data issues, document findings, and help drive resolution across teams • Maintain technical documentation for processes, dependencies, and validation steps • Use AI to improve productivity in data analysis and development tasks, applying human review to confirm accuracy • Contribute to scalable and repeatable migration process improvements • Support testing and validation for data import and export processes • Participate in project planning, status updates, and issue triage • Maintain reusable tools, templates, and migration standards • Assist with documentation updates and knowledge sharing • Identify opportunities to reduce manual effort through automation and improved process design

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience • 5+ years of experience in data engineering, ETL, data migration, or a related technical discipline • Experience working with ETL, SQL, and Python • Experience supporting data imports, conversions, migrations, or similar data movement work • Familiarity with HL7 and FHIR interoperability standards • Experience with EHI Export or related healthcare data export workflows preferred • Experience working with healthcare data, healthcare technology, or implementation-focused teams preferred • Ability to analyze data, identify issues, and document technical results clearly • Ability to work effectively in a remote, cross-functional environment • Strong problem-solving, communication, and collaboration skills

🏖️ Benefits

• Annual discretionary bonus plan (role eligibility dependent) • Variable compensation plan (role eligibility dependent) • Equity plans (role eligibility dependent) • Health and financial benefits • Commuter support • Employee assistance programs • Tuition assistance • Employee resource groups • Flexible work arrangements and work-life balance support • Digital collaboration tools • Company events including book clubs, external speakers, and hackathons • Learning-focused company culture • Engaged team support • Inclusive work environment • Collaborative workspaces • Some offices welcome dogs