Implementation Engineer

Your Future Evolves Here

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones.

Evolent employees enjoy work / life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business.

Join Evolent for the mission. Stay for the culture.

What You'll Be Doing :

Job 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.

Responsibilities :

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.

To ensure a secure hiring process we have implemented several identity verification steps, including submission of a government issued photo ID. We conduct identity verification during interviews, and final interviews may require onsite attendance. All candidates must complete a comprehensive background check, in-person I-9 verification, and may be subject to drug screening prior to employment. The use of artificial intelligence tools during interviews is prohibited and monitored. Misrepresentation will result in immediate disqualification from consideration.

Technical Requirements :

We require that all employees have the following technical capability at their home : High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations.

Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance.

The expected base salary / wage range for this position is $90,000-110,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

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