Data Engineer- Analytics

Virgin Pulse; United States; Remote; USD 75,000 - 95,000; Full time

Job summary

Join a leader in personalized health as a Data Engineer. This role involves designing scalable data pipelines to optimize health analytics in a collaborative team. Ideal candidates will bring strong skills in data engineering, SQL, and knowledge of healthcare data practices. If you're ready to make an impact in a flexible and inclusive environment, we encourage you to apply.

Benefits

Health benefits

Dental benefits

Vision benefits

Mental health benefits

10% target bonus

Qualifications

• 3+ years experience in data engineering or analytics engineering.
• Strong proficiency in SQL and at least one programming language.
• Experience with big datasets, particularly in healthcare.

Responsibilities

• Design and develop scalable ETL/ELT pipelines.
• Collaborate with Data Analysts and Business Stakeholders.
• Ensure data quality and security through validation and monitoring.

Skills

Data modeling

Analysis

Problem-solving

Communication

Education

Bachelor's degree in computer science or related field

Tools

SQL

Python

AWS

Azure

Databricks

Snowflake

Job description

Overview

Now is the time to join us!

We’re Personify Health. We’re the first and only personalized health platform company to bring health, wellbeing, and navigation solutions together. Helping businesses optimize investments in their members while empowering people to meaningfully engage with their health. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we’re shaping a healthier, more engaged future.

Responsibilities

Who are you?

We are seeking a skilled and motivated remote Data Engineer to support the development and execution of analytic data strategy within a Third-Party Administrator (TPA)organization. This role will be critical in designing, building, and maintaining scalable data pipelines and platforms that power advanced analytics, business intelligence, and operational reporting.

The ideal candidate may have experience working with large healthcare, insurance, or claims-related datasets and understands the unique data and operational challenges faced by TPAs and employer wellness solutions and platforms. The role will be in the Enterprise Reporting and Analytics team within the larger Transformation Management organization in Personify Health.

The role requires a self-directed data engineer with strong skills in data modeling, and analysis, and be able to execute projects from start to finish. Responsibilities include building datasets, conducting analysis, and communicating findings to stakeholders. The candidate must thrive in a fast-paced, collaborative environment, demonstrate a commitment to continuous learning and leadership, and possess excellent interpersonal skills.

In this role you will wear many hats, but your knowledge will be essential in the following:

• Design and develop scalable ETL/ELT pipelines to ingest and transform data from multiple sources (claims, enrollment, provider, finance, etc.).
• Collaborate with Data Analysts, Data Scientists, and Business Stakeholders to define data requirements that align with strategic analytic initiatives.
• Partner with cross-functional teams to implement data models and data marts to support business intelligence, reporting, and machine learning.
• Ensure data quality, integrity, and security through automated validation, auditing, and monitoring processes.
• Maintain and improve the data warehouse or enterprise analytics and reporting data warehouse infrastructure to optimize storage and compute efficiency.
• Support data integration projects involving clients, carriers, vendors, and regulatory bodies, ensuring data is accurate, timely, and compliant.
• Monitor and tune performance of data pipelines and proactively troubleshoot issues in data flow or system architecture.
• Write Python, and SQL programs to access, clean, and transform required data prior to analysis and reporting.
• Consult and collaborate with Product, Reporting, Analytics, and Account Management team members to ensure appropriate data is analyzed. The results are provided in a format consistent with standard and customized client reporting services.
• Conduct ad-hoc data analysis using various tools and techniques, including advanced data management tools.
• Work with departmental processes, projects, and programs using Smartsheet, MS, and Atlassian toolsets to keep projects and milestones on schedule, our collaborative and internal work organized as well as externally facing documentation comprehensive, updated, and accessible
• Develop automation solutions for operational workflows and reporting.

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Qualifications

What you bring to the Personify Health team:

In order to represent the best of what we have to offer you come to us with a multitude of positive attributes including:

• A bachelor's degree in computer science, information systems, engineering, or a related field or equivalent experience; Further advanced degree is a plus
• 3+ years of experience in data engineering or analytics engineering, ideally within a TPA, healthcare, insurance, or claims processing.
• Strong proficiency in SQL and one or more programming languages such as Python, Scala, or Java.
• Experience working with big datasets such as healthcare claims data (e.g., medical, pharmacy , dental ), claims adjudication, and data modeling concepts (star/snowflake schemas, dimensional modeling) to enable scaling and automation of analytic and reporting products.
• Experience with cloud platforms (AWS, Azure, or GCP), especially cloud-native data tools (e.g., AWS Glue, Azure Data Factory, Databricks).
• Hands-on experience with modern data warehouse platforms (e.g., Snowflake, Redshift, BigQuery, Synapse).
• Awareness of healthcare regulations (HIPAA, ACA, CMS rules).
• Strong problem-solving and communication skills with the ability to translate technical findings into business strategies.

You also take pride in offering the following Core Skills, Competencies, and Characteristics:

• Knowledge of care-based models, population health analytics, and clinical care management programs.
• Exposure to TPA operations, self-funded insurance models, and employer-sponsoredhealth plans and digital wellbeing solutions.
• Experience with producing and delivering results using varied media (i.e., multiple MS office formats, dashboards/visualization tools)
• Experience in managing small-scale analytics projects from end to end for data modeling
• Comfort working in a global environment with remote teams

No candidate will meet every single desired qualification. If your experience looks a little different from what we’ve identified and you think you can bring value to the role, we’d love to learn more about you!

Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice.

In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges from $75,000 to $95,000 annually. Note that compensation may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits.

We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing.

#WeAreHiring #PersonifyHealth

Beware of Hiring Scams:Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them [e-mail]. All of our legitimate openings can be found on the Personify HealthCareer Site.

Application Deadline: Open until position is filled.