Business Intelligence Engineer 2, Data Enablement

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Business Intelligence Engineer 2, Data Enablement based in the United States.

This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered.
You will work with critical datasets, pipelines, and automation supporting Care Management and value-based operations.
Your work will help teams understand clinical, operational, and financial outcomes and make better data-informed decisions.
The role combines data analysis, engineering, automation, and problem-solving across multiple complex data sources.
You will serve as a data subject matter expert for partner teams, helping them understand and effectively use enterprise data.
As the organization expands its programs, you will help create scalable and efficient data solutions that can grow with demand.
This role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.

Accountabilities:

• Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
• Maintain and enhance key enterprise data products used by Care Management, Value Based Operations, and other clinical programs.
• Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
• Analyze complex datasets, identify patterns and issues, and conduct root cause analysis to resolve data-related challenges.
• Serve as a subject matter expert for partner teams, helping stakeholders understand, interpret, and effectively utilize available data.
• Develop scalable automation and data solutions that support the rapid expansion of healthcare programs and business capabilities.
• Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
• Collaborate with business and technical partners to identify opportunities to improve data quality, efficiency, and accessibility.
• Contribute to a culture of continuous improvement by identifying ways data and technology can enhance consumer experiences and business outcomes.

Requirements:

• Bachelor’s degree in a relevant discipline.
• Less than 5 years of technical experience in data analysis and/or data engineering.
• At least 1 year of experience working with SQL or SAS.
• At least 1 year of experience with Python or PySpark.
• At least 1 year of experience using Databricks and building automated data pipelines.
• Strong ability to assess complex datasets and perform effective root cause analysis.
• Comprehensive knowledge of Microsoft Office applications, including Word, Excel, Access, and PowerPoint.
• Strong analytical and problem-solving capabilities, with an ability to connect technical data challenges to business needs.
• Passion for using data and technology to support continuous improvement and better consumer experiences.
• Ability to collaborate effectively with partner teams and communicate data concepts clearly to both technical and non-technical stakeholders.
• An advanced degree in Mathematics, Economics, Finance, Statistics, Computer Science, Engineering, or a related quantitative discipline is preferred.
• Experience applying data insights to drive business outcomes and inform decisions is a plus.
• Candidates must be authorized to work in the United States; this position is not eligible for work visa sponsorship.

Benefits:

• Remote work opportunity available nationwide in the United States.
• Full-time schedule of 40 hours per week .
• Base salary range of $66,800–$91,100 USD per year , depending on factors such as location, skills, experience, education, and certifications.
• Eligibility for a bonus incentive plan based on company and/or individual performance.
• Medical, dental, and vision benefits.
• 401(k) retirement savings plan.
• Paid time off, company holidays, and personal holidays.
• Paid parental and caregiver leave.
• Short-term and long-term disability coverage.
• Life insurance and additional employee benefits supporting whole-person well-being.
• Occasional travel to company offices may be required for training or meetings.
• Home-based employees must maintain an internet connection meeting minimum requirements of 25 Mbps download and 10 Mbps upload , as well as a dedicated workspace suitable for protecting sensitive health information.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.