Data Engineer

Job not on LinkedIn

🕒 September 18

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 36%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 56 days.
• Jobs at this company usually fill in 24 days.
• Reposted once.
• No salary listed.

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ExactCare

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2009

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

💰 Private Equity Round on 2016-03

Healthcare • Healthcare Insurance • Pharmaceuticals

ExactCare is a leading pharmacy care management provider that specializes in medication management for individuals with complex, chronic medical needs. With operations in all 50 states and Washington, D. C. , ExactCare supports more than 100,000 people nationwide, helping them manage their medications in assisted living, long-term care facilities, and at home. Partnering with healthcare organizations, ExactCare aims to improve clinical outcomes by ensuring better medication adherence, reducing readmissions, and lowering overall healthcare costs.

📋 Description

• Design, develop, test, and maintain scalable data pipelines within Databricks using PySpark, SQL, Delta Lake, and Databricks Workflows/Jobs • Build ETL/ELT processes that ingest, transform, and deliver data into curated, analytics-ready datasets • Implement data quality checks, validation logic, monitoring, and alerting • Serve as a primary escalation point for production data pipeline issues • Perform root-cause analysis, troubleshoot failures, and implement timely fixes • Partner with support and business teams to triage issues, communicate status, and resolve incidents within SLA • Document recurring issues and implement long-term fixes and process improvements • Lead migration of Azure Data Factory pipelines and Azure Functions to Databricks • Re-architect migration logic to use Databricks-native capabilities • Validate data parity and pipeline performance between legacy Azure solutions and Databricks replacements • Retire legacy Azure Data Factory and Azure Functions components after validation • Collaborate with data architects, analysts, and business stakeholders on technical designs • Follow version control, code review, and CI/CD best practices • Document pipeline architecture, data flows, and operational runbooks • Embody AnewHealth’s Core Values and perform other assigned duties

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience • 3+ years of experience as a Data Engineer building and supporting production data pipelines • Hands-on experience developing data pipelines in Databricks, including PySpark, Delta Lake, and Databricks Workflows/Jobs • Experience with Azure Data Factory and/or Azure Functions, with the ability to interpret existing ADF pipelines/Functions and re-implement them in Databricks • Strong SQL skills, including query optimization and experience with relational and dimensional data models • Proficiency in Python for data engineering and pipeline automation • Working knowledge of Azure Data Lake Storage, Azure SQL Database, and Azure Key Vault • Understanding of ETL/ELT design patterns, data warehousing concepts, and data quality/validation practices • Strong troubleshooting and analytical skills • Excellent communication skills with technical and non-technical stakeholders • Must be eligible to work in the United States • Must be able to commute to multiple site locations within assigned territory • Availability outside normal business hours on an ad-hoc basis

🏖️ Benefits

• Medical, dental, and vision coverage • Flexible spending account • Company-paid life insurance • Company-paid short-term disability • Voluntary benefits • 401(k) • Paid Time Off • Paid holidays • Flexible remote work arrangement • Travel and professional event participation may be required

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