What Will You Do?
The OverviewWe are seeking a skilled and motivated
Data Engineer to join our Data Engineering team. In this role, you will enhance our data platform, developing and optimizing data pipelines that power advanced analytics and machine learning models. You'll work closely with data scientists, product teams, and other engineers to ensure that our data platform supports ongoing innovation. This role will report to the Lead Data Engineer. We would love to find someone in the Chicagoland area who can collaborate with the team in the office, but are also open to the right candidate in another location.
The Specifics- Data Lake Implementation: Develop, manage and operate data lakes on cloud platforms like Google Cloud Platform (GCP), ensuring scalability, reliability, and performance.
- Automation and Scripting: Utilize Python or other scripting languages to automate data workflows, improve operational efficiency, and support machine learning models.
- Data Pipeline Development: Use Dagster, dbt, and other tools to transform and model raw data into a structured format for analytics and reporting.
- Security and Compliance: Work inside a regulated SDLC. Ensure that all data processes adhere to security best practices, especially around PII and PHI, and maintain compliance with relevant regulatory standards.
- Collaboration: Work closely with data scientists, product teams, and engineers to align data solutions with business and product needs.
- Problem Solving: Tackle complex technical challenges and contribute to continuous improvement initiatives.
Who You Are?- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
- 3-5 years of experience as a Data Engineer, ML Engineer, or similar role.
- Cloud Proficiency: Strong experience with Google Cloud Platform (GCP) or other cloud platforms like AWS or Azure.
- Data Warehousing: Hands-on experience with BigQuery, or with Databricks, Snowflake, Redshift or a comparable cloud warehouse.
- Orchestration: Experience with Dagster, Airflow, Prefect or a comparable orchestrator.
- Programming Skills: Proficiency in Python and SQL for data manipulation and automation.
- Data Lakes: Experience with implementing and managing data lakes.
- Communication Skills: Strong problem-solving, communication, and collaboration abilities.
Additional Qualifications (Nice to Haves)- Integration Experience: Building ingestion for third-party or clinical data sources, such as electronic data capture systems.
- Healthcare Experience: Previous experience in the healthcare or pharmaceutical industry.
- PII/PHI Knowledge: Understanding of managing data with privacy concerns and security measures.
Why You'll Love Working Here- Meaningful Compensation: Competitive salary, performance bonus, and equity so you can share in what we build.
- Great Health Coverage: Medical, dental, and vision plans with multiple options and strong company contributions.
- Flexible Spending Perks: HSA, FSA, commuter benefits, and a $1,200 annual Lifestyle Spending Account to support wellness, commuting, family needs, and more.
- Time to Recharge: Generous paid time off, sick leave, and company holidays.
- Family-First Benefits: Paid parental leave, caregiver leave, and support for growing families.
- Security & Peace of Mind: Company-paid life insurance and short- and long-term disability coverage.
- Plan for the Future: 401(k) plan to help you build long-term financial security.
- Care When You Need It: Easy access to telehealth and optional supplemental coverage for life's unexpected moments.
Starting Salary is at $134,000.00 (Exact Compensation may vary based on skills, experience, and location)
