Data & Machine Learning Integration Engineer – Healthcare Network Systems

USA, Massachusetts, Boston, 200 Berkeley Street, United States

Manulife

Manulife is a leading financial services group. We provide financial advice, insurance, as well as wealth and asset management solutions for individuals, groups and institutions.

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The opportunity

John Hancock is a leading life and long-term insurance provider that combines a rich history of financial expertise with a forward-thinking approach to technology. As part of the global financial services group Manulife, John Hancock is committed to innovating its insurance offerings through state-of-the-art analytics and machine learning applications

As a Data & Machine Leaning Integration Engineer, you will join Advanced Analytics to help build provider registry and maintain data collection, and be instrumental in curating data across multiple channels to support the development of our groundbreaking care provider network. You will work data scientists to develop new AI methods for data normalization and resolution, and design robust databases to make the large volumes of data easily available for analytics and business consumption.

A strong background in machine learning, NLP and foundation models will be advantageous in this dynamic role

Responsibilities

  • Partner with data engineers and architects to design and implement scalable database solutions and data models, organizing both structured and unstructured data.

  • Develop processes for data cleansing, enrichment, and validation to improve quality and reliability

  • Collaborate with data scientists to develop machine learning models to enhance the data transformation pipelines, such as transformer based methods to create probabilistic record matching.

  • Monitor, solve, and optimize data pipelines for performance and efficiency

  • Document data architecture designs, integration procedures, and data management workflows in a clear, comprehensive manner.

  • Continuously evaluate new cloud technologies and data processing frameworks to enhance pipeline performance,

  • Develop automation scripts and tools to ease the deployment, scaling, and management of data systems within the cloud environment.

How will you create an impact?

By joining our Advanced Analytics team, you'll be at the forefront of transforming the insurance industry, utilizing cutting-edge technology to deliver enhanced and personalized customer experiences.

What motivates you?

  • You obsess about customers, listen, engage and act for their benefit.

  • You think big, with curiosity to discover ways to use your agile approach and enable business outcomes.

  • You thrive in teams and enjoy getting things done together.

  • You take ownership and build solutions, focusing on what matters.

  • You do what is right, work with integrity and speak up.

  • You share your humanity, helping us build a diverse and inclusive work environment for everyone.

What we are looking for

  • Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.

  • A minimum of 3 years of relevant experience in a data engineering role with a strong understanding of data modeling, ETL/ELT development, and data warehousing principles.

  • Proven experience with Databricks and Azure cloud services and data solutions including but not limited to Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Storage, and Azure Data Factory.

  • Proficiency with big data processing frameworks such as Apache Spark and experience with programming languages like Python, Scala, or SQL.

  • Ability to write efficient, well-documented code and maintain version control in collaboration with a team.

  • Excellent problem-solving skills and the capacity to work under tight deadlines in a fast-paced environment.

  • Previous work in agile development environments and knowledge of project management tools such as JIRA.

What can we offer you?

  • A competitive salary and benefits packages.

  • A growth trajectory that extends upward and outward, encouraging you to follow your passions and learn new skills.

  • A focus on growing your career path with us.

  • Flexible work policies and strong work-life balance.

  • Professional development and leadership opportunities.

Our commitment to you

  • Values-first culture

  • We lead with our Values every day and bring them to life together.

  • Boundless opportunity

  • We create opportunities to learn and grow at every stage of your career.

  • Continuous innovation

  • We invite you to help redefine the future of financial services.

  • Delivering the promise of Diversity, Equity and Inclusion

  • We foster an inclusive workplace where everyone thrives.

  • Championing Corporate Citizenship

  • We build a business that benefits all stakeholders and has a positive social and environmental impact.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact recruitment@manulife.com.

Primary Location

Boston, Massachusetts

Working Arrangement

Hybrid

Salary range is expected to be between

$87,990.00 USD - $163,410.00 USD

If you are applying for this role outside of the primary location, please contact recruitment@manulife.com for the salary range for your location. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance.

Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.

Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify I Pay Transparency

Company: John Hancock Life Insurance Company (U.S.A.)
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Tags: Agile Architecture Azure Big Data Computer Science Cosmos DB Databricks Data management Data pipelines Data warehouse Data Warehousing ELT Engineering ETL Jira Machine Learning ML models NLP Pipelines Python Scala Spark SQL Unstructured data

Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Insurance Medical leave Transparency Wellness

Region: North America
Country: United States

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