Data Engineer, Enterprise Data, Analytics and Innovation

About the role

Data Engineer, Enterprise Data, Analytics and Innovation, Digital Innovation

What You'll Do

Are you passionate about building robust data infrastructure and enabling innovation through engineering excellence? As our Data Engineer, your goal is to own and evolve the foundation of our data infrastructure. You will be central in ensuring data reliability, scalability, and accessibility across our lakehouse and transactional systems. This role is ideal for someone who thrives at the intersection of engineering and innovation, ensuring our data platforms are robust today while enabling the products of tomorrow.

A Day in the Life

Lakehouse and Pipelines

Design, build, and operate reliable ETL and ELT pipelines in Python and SQ

Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture

Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless

Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets

Data Modeling and Governance

Develop schemas, tables, and views optimized for analytics, APIs, and product use cases

Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains

Maintain clear and consistent documentation for datasets, pipelines, and operating procedures

Integration of New Data Sources

Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core

Partner with product and innovation teams to build repeatable processes for onboarding new data streams

Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational)

Analytics and Predictive Tools

Collaborate with the innovation team to prototype and productionize analytics, predictive features, and decision-support tools

Support dashboards, APIs, and services that activate insights for internal stakeholders and clients

Work closely with Data Science and AI colleagues to ensure engineered pipelines meet modeling and deployment requirements

Reliability and Optimization

Monitor job execution, storage, and cluster performance, ensuring cost efficiency and uptime

Troubleshoot and resolve data issues, proactively addressing bottlenecks

Conduct code reviews, enforce standards, and contribute to CI/CD practices for data pipelines

What You Must Have

Education and Experience

5+ years of professional experience in data engineering, ETL, or related roles

Strong proficiency in Python and SQL for data engineering

Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform

Practical understanding of Medallion architectures and layered data design

Skills and Competencies

Familiarity with modern data stack tools, including:

Spark or PySpark

Workflow orchestration (Airflow, dbt, or similar)

Testing and observability frameworks

Containers (Docker) and Git-based version control

Excellent communication skills, problem-solving mindset, and a collaborative approach

Leverage approved AI tools to streamline routine tasks, research, content creation, analysis, and workflow management

What You Might Have, but Isn't Required

Experience with Databricks and the Microsoft Azure ecosystem

Expertise with Delta Lake formats, metadata management, and data catalogs

Familiarity with healthcare, scientific, or engagement data domains

Experience exposing analytics through APIs or lightweight microservices

The Team You'll Work Closest With

You will collaborate closely with the innovation team to prototype and productionize analytics solutions. Your main contacts will be Data Science and AI colleagues, product and innovation leaders, and internal stakeholders who rely on data-driven insights. You will work remotely with flexibility, growth opportunities, and the ability to influence how data shapes the future of medical communications, helping to turn raw data into client-ready insights that enable measurable healthcare impact.

Why You’ll Love Us:

100% remote environment with opportunities for local meet-ups

Positive, diverse, and supportive culture

Passionate about serving clients focused on Cancer and Blood diseases

Investment in you with opportunities for professional growth and personal development through Vaniam Group University

Health benefits – medical, dental, vision

Generous parental leave benefit

Focused on your financial future with a 401(k) Plan and company match

Work-Life Balance and Flexibility

Flexible Time Off policy for rest and relaxation

Volunteer Time Off for community involvement

Emphasis on Personal Wellness

Virtual workout classes

Discounts on tickets, events, hotels, child care, groceries, etc.

Employee Assistance Programs

Salary offers are based upon several factors including experience, education, skills, training, demonstrated qualifications, location, and organizational need. The range for this role is $110,000 - $125,000. Salary is one component of the total earnings and rewards package offered.

About Us:

Vaniam Group is a people-first, purpose-driven, independent network of healthcare and scientific communications agencies committed to helping biopharmaceutical companies realize the full potential of their compounds in the oncology and hematology marketplace. Founded in 2007 as a virtual-by-design organization, Vaniam Group harnesses the talents and expertise of team members around the world. For more information, visit www.VaniamGroup.com .

Applicants have rights under Federal Employment Laws to the following resources:

Family & Medical Leave Act (FMLA) poster - https://www.dol.gov/agencies/whd/posters/fmla

EEOC Know Your Rights poster - https://www.eeoc.gov/poster

Employee Polygraph Protection Act (EPPA) poster - https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-ac t

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The evidence behind this listing

Workplace

Remote Employer field

Seniority

Not established

Employment type

full time

Location as listed

Remote, US

Pay and work authorization

Stated pay

$110k–125k/yr Employer field

Visa sponsorship

Not stated

Security clearance

Not established

Citizenship

Not established