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Data Engineer II

Remote:

Full Remote

Experience:

Mid-level (2-5 years)

Work from:

Illinois (USA), United States

Offer summary

Qualifications:

BS/MS in Computer Science or related field, 2+ years of experience as a Data Engineer, Deep knowledge of SQL and programming languages, Experience with cloud technologies like AWS.

Key responsabilities:

Clean and process large datasets using SQL and Python
Develop and maintain scalable data pipelines for healthcare analysis

PatientIQ Scaleup http://patientiq.io/

11 - 50 Employees

See more PatientIQ offers

Job description

Are you interested in building the future of healthcare and transforming the patient experience? Are you hopeful about what data and medical research can do to improve medicine? We’re looking for a Data Engineer to ensure PatientIQ remains at the forefront of using data to drive positive healthcare outcomes.

As a core member of the Data Engineering department, you will be in a dynamic environment that works cross-functionally with all other departments, such as Engineering, Product, Customer Success, and Marketing. You will work on a broad array of problems that rely on data to derive insights for our business and customers. We heavily value diligence, curiosity, and initiative, which are key to unlocking the value of PatientIQ's data for our users and decision-making. Your work will be impactful across the entire organization.

Role Responsibilities

Clean and process large, complex datasets using tools such as SQL and Python.
Migrate client data into PatientIQ's platform per established service level agreements (SLA).
Develop rigorous data quality assurance checks throughout the ETL process.
Design, develop, maintain, and streamline scalable data pipelines to support healthcare data analysis.
Work closely with data analysts to understand their data needs and develop solutions to meet those needs.
Monitor and optimize the performance of data pipelines and systems.
Collaborate with other teams to integrate data from multiple sources.

Requirements

Ideal Qualifications

BS/MS in Computer Science, Engineering, Mathematics, or a related field.
2+ years of experience as a Data Engineer.
Experience designing, building, and maintaining ETL infrastructure in a production setting.
Experience working with large, complex datasets.
Deep knowledge of SQL and at least one programming language (e.g., Python, Java, Ruby, etc.).
Experience with Data Warehousing (Redshift, BigQuery, Snowflake).
Experience with cloud technologies such as AWS, Google Cloud Platform, or Azure.
Experience with version control systems (e.g., Git) and writing reusable and extensible code.
Highly self-motivated with strong analytical problem-solving skills and attention to detail.

Nice to Haves

Experience working in Healthcare, Finance, or another regulated industry.
Experience with workflow management systems such as Airflow.
Experience in machine learning and/or business intelligence.

Benefits

Great Benefits - top-notch health, dental and vision insurance. Additional perks available including 401K.
We are Mission Driven - our team is motivated to solve complex problems, drive medicine forward, and ultimately improve patient outcomes.
True Idea Meritocracy - great ideas win out. We encourage all team members to challenge the status quo because our mission demands this.
Flexible Time Off - we trust you to take the time you need when you feel it is appropriate, given your workload and responsibilities. No need to track it or save up.
World-Class Team - we’re at the top of our industry because of our employees. They’re the best investment we can make, and we never forget that.
Fast Growing - we are building the largest platform for healthcare providers, industry partners, researchers, and others to collaborate on the mission to improve patient outcomes.