Location: Bedford, Ma; Hybrid; Remote in AL, FL, GA, MA, MI, MO, NC, NH, OH, OK, TN, TX, WI, WV
This Role:
As a Staff Data Engineer at LogixHealth, you will work with a globally distributed team of engineers to design and build cutting edge solutions that directly improve the healthcare industry. You’ll contribute to our fast-paced, collaborative environment and bring your expertise to continue delivering innovative technology solutions, while mentoring others.
The ideal candidate will be an expert in architecting, designing and implementing data solutions to serve the needs of our business processes and software products. This person will always keep security, maintainability, and scalability in mind with the solutions built. They should have excellent interpersonal communication skills and an aptitude for continued learning.
Key Responsibilities:

• Lead and contribute to the creation of a self-service data platform for reporting and analytics.
• Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake in the Azure ecosystem (Blob Storage, Data Factory, Event Hubs).
• Ensure best practices for ETL / ELT processes (data quality management, data processing, data partitioning, maintainability and reusability).
• Experience with native and third-party Databricks integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog).
• Collaborate with engineers, product, and business leaders to ensure data platform is integrated with other systems and technologies (Tableau, Power BI, APIs, custom applications).
• Establish CI/CD processes, test frameworks, infrastructure-as-code tools, and monitoring/alerting (Git, Terraform, Azure DevOps / GitHub Actions / Jenkins, Azure Monitor / Datadog).

Qualifications:
To perform this job successfully, an individual must be able to perform each Key Responsibility satisfactorily. The following requirements are representative of the knowledge, skills, and/or ability required to perform this job successfully. Reasonable accommodation may be made to enable individuals with disabilities to perform the duties.
Required:

• BS (or higher, MS / PhD) degree in Computer Science / related field, or equivalent technical experience
• 8 years data engineering experience
• 3 years in a senior, staff or principal engineer role
• Strong programming skills in SQL and Python
• Experience designing scalable data pipelines
• Experience leading projects within a team and across teams
• Passion for mentoring and guiding others
• Strong written and verbal communication skills 

Preferred:

• Azure experience
• Azure Databricks implementation experience
• Experience designing and implementing data security and governance platform adhering to compliance standards (HIPAA, SOC 2)

Benefits at LogixHealth:
We offer a comprehensive benefits package including health, dental and vision, 401(k), PTO, paid holidays, life and disability insurance, on-site fitness center and company-wide social events.
About LogixHealth:
At LogixHealth we provide expert coding and billing services that allow physicians to focus on providing great clinical care. LogixHealth was founded in the 1990s by physicians to service their own practices and has grown to become the nation’s leading provider of unsurpassed software-enabled revenue cycle management services, offering a complete range of solutions, including coding and claims management and the latest business intelligence reporting dashboards for clients in 40 states.
Since our first day, we have had a clear vision of a better healthcare system and have continually evolved to get there. In addition to providing expert revenue cycle services, we utilize proprietary software to provide valuable financial, clinical, and other data insights that directly improve the quality and efficiency of patient care.
At LogixHealth, we’re committed to Making intelligence matter through our pillars of Physician-Inspired Knowledge, Unrivaled Technology and Impeccable Service.
To learn more about us, visit our website https://www.logixhealth.com/.

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