Lead, Data Engineering

WebMD

Oregon (IL)

On-site

USD 144,000 - 160,000

Full time

14 days+

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Benefits offered by this job

Health Insurance
Paid Time Off
401(k) Retirement Plan
Life and Disability Insurance
Employee Assistance Program

Job summary

A leading health information company seeks a Lead, Data Engineering in Oregon. Ideal candidates will have 7+ years of data engineering experience, advanced skills in SQL, DAX, and data integration tools such as SSIS and Azure Data Factory. This mid-senior level role demands a strong expertise in architectural design, and the ability to lead projects while fostering cross-functional collaboration. The position offers competitive pay, a comprehensive benefits package, and the opportunity to contribute to health improvements globally.

Qualifications

  • 7+ years of Data Engineering experience.
  • Advanced experience with SQL and data modeling/architecture.
  • Experience protecting individual privacy as required by HIPAA.

Responsibilities

  • Builds software to extract, transform and load data.
  • Models data for efficient consumption by reporting and analytics tools.
  • Takes ownership of team’s work deliverables.

Skills

Data Engineering
SQL
Data Modeling
Data Analysis Expressions (DAX)
Cloud Development (Azure)

Education

Bachelor’s Degree in Information Systems, Computer Science, Business Operations, or equivalent

Tools

Power BI
SSIS
Azure Data Factory
Synapse

Job description

Join to apply for the Lead, Data Engineering role at WebMD

2 days ago Be among the first 25 applicants

This range is provided by WebMD. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay Range

$144,000.00/yr - $160,000.00/yr

EEO Statement

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Imagine if your work helped people better understand the conditions affecting their best health or the health of someone under their care. A job in the Technology organization at Healthwise focuses on delivery of health education to any scenario that helps someone get informed about and involved in their health care.

Since 1975, the Healthwise mission has been to help people make better health decisions. This mission—combined with our innovative spirit—has led to health education and technological solutions used to deliver education as part of care millions of times each month.

JOB SUMMARY

The ideal candidate has experience and passion for data engineering. They are an expert in their field – whether that be the front end (data visualization, DAX, Power BI, SQL) or the back end (SSIS, Azure Data Factory, Synapse, data modeling, SQL) of the data engineering world. Exhibits expert knowledge of architecture and system design principles. This person has a consistent record of very strong ownership for their area, is considered the guru in their technical space. This person is able to solve complex cross‑functional challenges and perform complex analysis of business needs and provide innovative solutions. Works across the organization to foster a culture of architecture that allows for iterative, autonomous development and future scaling. Guides teams in the organization in anticipation of future use cases and helps them make design decisions that minimize the cost of future changes.

DUTIES & RESPONSIBILITIES
  • Builds software to extract, transform and load data – SSIS, Azure Data Factory, Synapse
  • Models data for efficient consumption by reporting and analytics tools – Azure Analysis Services, Power BI, SQL Databases
  • Maintains previously deployed software and reports – Power BI, SSIS, AAS, SQL Server
  • Designs dashboards and reports to meet business needs
  • Presents technical problems with solutions in mind, in a constructive and understood fashion
  • Demonstrates expert proficiency by sharing learnings with team and in technical showcases
  • Independently discovers solutions and collaborates on insights and best practices
  • Takes ownership of team’s work deliverables and actively participates in mentoring of team members
  • Actively seeks out opportunities to help improve the team’s practices and processes to achieve fast flow
  • Works with other developers to facilitate knowledge transfer and conduct code reviews
  • Consistently works across the organization to enable teams to support each other
  • Ensures that credit is shared and given when due
  • Works to build and improve strong relationships across the organization
  • Leverages those relationships to better plan for and position the engineering organization
  • Leads strategic organizational decisions and plans
  • Consistently works at a strategic level, influencing decisions to achieve organizational alignment on major goals
  • Facilitates organization‑wide discussions, ensuring that everyone has an opportunity to share their opinion and be heard, and that discussion outcomes tie to stated goals
  • Encourages quiet participants and ensures no one person dominates the conversation
REQUIREMENTS
  • 7+ years of Data Engineering experience
  • Bachelor’s Degree in Information Systems, Computer Science, Business Operations, or equivalent work experience
  • Advanced experience with Standard Query Language (SQL) and data modeling/architecture
  • Advanced experience with Data Analysis Expressions (DAX)
  • Advanced experience and understanding of data integration engines such as SQL Server Integration Services (SSIS) or Azure Data Factory or Synapse
  • All offers are contingent upon the successful completion of a background check
  • Maintains previously deployed software and reports – Power BI, SSIS
PREFERRED SKILLS AND KNOWLEDGE
  • Advanced experience with data engineering in a cloud development - Microsoft Azure is preferred
  • Advanced experience with self‑service query tools and dashboards - preferably Power BI
  • Advanced understanding of star schema design and managing large data volumes
  • Familiarity with data science and machine learning capabilities
  • Ability to interact with people, inside and outside the team, in order to see a project to completion
  • Experience protecting individual privacy such as required by HIPAA
Benefits
  • Health Insurance (medical, dental, and vision coverage)
  • Paid Time Off (including vacation, sick leave, and flexible holiday days)
  • 401(k) Retirement Plan with employer matching
  • Life and Disability Insurance
  • Employee Assistance Program (EAP)
  • Commuter and/or Transit Benefits (if applicable)
Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Technology, Information and Internet and Wellness and Fitness Services

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