Data Engineer (Data Operations)

IQVIA
Rosemont, United States of America
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 173K

Job location

Rosemont, United States of America

Tech stack

Airflow
Continuous Integration
Data Validation
Information Engineering
ETL
Data Transformation
Data Visualization
Data Warehousing
Information Lifecycle Management
Python
Operational Databases
Performance Tuning
DataOps
Software Deployment
SQL Databases
Data Processing
Scripting (Bash/Python/Go/Ruby)
Snowflake
Backend
GIT
Data Layers
Kubernetes
Data Inconsistencies
Software Version Control
Data Pipelines

Job description

The Data Engineer (Data Operations ) is responsible for building, maintaining, and optimizing downstream data pipelines and analytics-ready datasets that power business intelligence and reporting. This role focuses on data troubleshooting, transformation, and delivery, ensuring that upstream data is validated and converted into reliable, curated data sources for BI and analytics teams. The individual will work hands-on with Snowflake, SQL, and Python to develop data models, resolve data issues, and support production data operations, enabling the BI team to efficiently consume high-quality data through their visualization tools. Experience with R is a plus, as we transition from R into new technologies.

Ess** **ential Functions

  • Build andmaintaincurated data layers and data sources

  • Develop and optimize SQL- and Python-based transformations in Snowflake

  • Troubleshoot data quality issues originating from upstream pipelines, including identifying root causes and coordinating fixes where needed

  • Validate incoming datasets and ensure accuracy, completeness, and consistency before they are surfaced to downstream users

  • Design and manage analytics-ready data models and tables to support reporting and dashboards

  • Serve as a key point of contact forreporting data layersensuring data sources meet usability and performance needs

  • Monitor data pipelines and datasets for failures, anomalies, and performance issues, and proactively resolve them

  • Support production operations, including incident management, backlog prioritization, and SLA adherence

  • Partner with upstream engineering teams to escalate and resolve ingestion-related issues, while not owning ingestion directly

  • Improve processes for data validation, monitoring, and operational efficiency

Requirements

  • Bachelor's degree

  • 7+ years of experience in data engineering, data operations, or backend data development

  • Strong hands-on experience with:

  • Snowflake (data warehouse design, optimization, and management)

  • SQL (advanced querying, performance tuning, and data transformation)

  • Python (data processing, scripting, and automation)

  • Proven experience building and supporting production-grade data pipelines and workflows

  • Strong experience with ETL/ELT tools, orchestration frameworks (e.g., Airflow,Atomic), or similar pipeline management tools

  • Experience troubleshooting data issues, pipeline failures, and data inconsistencies, with strong root cause analysis skills

  • Solid understanding of data modeling, data warehousing concepts, and data lifecycle management

  • Familiarity with CI/CD, version control (Git), and production deployment practices

  • Strong problem-solving skills and ability to work independently in fast-paced environments

  • Excellent communication skills with the ability to explain data issues and solutions to both technical and non-technical stakeholders

  • Experience working with healthcare, pharmaceutical, or life sciences data strongly preferred

About the company

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. The potential base pay range for this role, when annualized, is $69,300.00 - $173,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.

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