Implementation Engineer

Job not on LinkedIn

June 20

⚔️ Virginia – Remote

Although this job is listed in Virginia, this company may be open to hiring remote in other states.

💵 $90k - $110k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🛠️ Implementation Specialist

🦅 H1B Visa Sponsor

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Evolent

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Healthcare Insurance • Healthcare • SaaS

Evolent is a healthcare company focused on improving care outcomes through its comprehensive management solutions across multiple medical specialties. They aim to enhance the patient care journey by offering coordinated services in areas like oncology, cardiology, musculoskeletal disorders, and primary care, while ensuring high-quality treatment pathways and cost management. Evolent believes every person deserves quality care, striving to align treatment guidelines and innovative approaches to meet patient needs effectively.

1001 - 5000 employees

⚕️ Healthcare Insurance

☁️ SaaS

📋 Description

• We are seeking a technically strong Implementation Engineer with expertise in data integration to support the full lifecycle of client onboarding and data pipeline development. • This role involves configuring systems, resolving implementation issues, and building scalable data workflows using SQL, SSIS, ADF, and Python. • Support the full implementation lifecycle: development, testing, deployment, and go-live. • Troubleshoot and resolve technical issues during implementation to ensure smooth transitions. • Design, build, and maintain data pipelines and ETL workflows using SQL, SSIS, ADF, and Python. • Interpret and implement data models and mappings for integration tasks. • Collaborate with cross-functional teams to translate business requirements into technical solutions. • Monitor and optimize data quality, performance, and reliability. • Maintain technical documentation and provide post-implementation support.

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, IT, or related field. • 5+ years of experience in software implementation, system integration, or data engineering. • Strong proficiency in SQL, SSIS, and SSRS; experience with Azure Data Factory is a plus. • Solid understanding of data models, data mappings, and relational databases. • Familiarity with APIs and cloud platforms (e.g., Azure). • Excellent communication skills with the ability to explain technical concepts to diverse audiences. • Self-driven, detail-oriented, and capable of working independently or in a team environment.

🏖️ Benefits

• Comprehensive benefits (including health insurance benefits) to qualifying employees.