[Hiring] Data Engineer @Revive Health

Revive Health; Deutschland; Remote; USD 100.000 - 125.000; Vollzeit

Zusammenfassung

A healthcare technology organization is seeking a remote Data Engineer to design scalable data pipelines and enhance data models for business intelligence reporting. The ideal candidate should have a Bachelor's degree and 3+ years of relevant experience, with expertise in SQL and Power BI. This role offers flexible work hours, comprehensive benefits, and professional development opportunities.

Leistungen

Comprehensive benefits package

Flexible work hours

Opportunities for growth

Qualifikationen

• 3+ years of experience in a data engineering or related role.
• Familiarity with version control systems (e.g., Git).
• Knowledge of data quality practices.

Aufgaben

• Design and implement data models that support self-service reporting.
• Develop and maintain ETL/ELT pipelines for data integration.
• Monitor data pipelines for performance and reliability.

Kenntnisse

Strong SQL skills

Data modeling in Power BI

Proficiency with ETL tools

Experience with data warehouses

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

Azure Data Factory

SQL Server

Python

Jobbeschreibung

Aug 02, 2025 - Revive Health is hiring a remote Data Engineer. Salary: $100,000-$125,000. Location: USA.

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Description

About Us:

Revive is a dynamic and innovative organization specializing in healthcare delivery and technology. We pride ourselves on delivering exceptional products/services and building strong, long-lasting relationships with our valued clients.

Job Description:

We are seeking a highly skilled and motivated Data Engineer to join our growing team. In this role, you will be responsible for designing and maintaining scalable data pipelines, developing robust data models to support Power BI and SSRS reporting, ensuring high data quality through proactive monitoring and validation. You will work closely with developers, analysts, and business stakeholders to enable data-driven decision-making across the organization.

Duties:

• Design and implement data models that support self-service Power BI reporting and dashboards, ensuring efficient and accurate data representation.
• Develop and maintain ETL/ELT pipelines to extract, transform, and load data from various sources into our data platform.
• Load and integrate data from internal and external data sources (e.g., databases, APIs, flat files).
• Collaborate with BI developers and analysts to understand reporting needs and ensure data models meet business requirements.
• Monitor data pipelines for performance, reliability, and data quality issues using automated tools and alerts.
• Conduct data validation and testing to ensure accuracy, completeness, and consistency of data.
• Document data architecture, processes, and data flows to support ongoing maintenance and scalability.
• Troubleshoot data issues and work with source system owners to resolve inconsistencies or gaps.
• Implement data governance best practices, including data cataloging, lineage, and security controls.
• Continuously improve data engineering processes, pipelines, and tools to optimize efficiency and scalability.

What we offer:

• Comprehensive benefits package including health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Opportunities for professional growth and development.
• A collaborative and supportive team environment.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 3+ years of experience in a data engineering, BI, or related role.
• Strong SQL skills and experience working with relational databases (e.g., SQL Server).
• Experience building data models in Power BI (e.g., star schema, DAX optimization).
• Proficiency with ETL tools and scripting (e.g., Python, SQL-based ETL, Azure Data Factory, dbt).
• Experience with data warehouse/lake solutions (e.g., Azure Synapse).
• Knowledge of data quality, validation, and monitoring practices.
• Familiarity with version control systems (e.g., Git) and CI/CD for data pipelines

Preferred:

• Experience with cloud platforms (Azure, AWS, or GCP).
• Understanding of Agile methodologies and tools (e.g., Jira, Confluence).
• Knowledge of data governance and metadata management tools (e.g., Purview, Alation).

Salary Description

$100,000-$125,000