Introduction
Explore a career where you’ll play a pivotal role in advancing data-driven solutions that transform businesses and foster growth across the Life Science and Pharmaceutical industries. Joining our team means becoming an integral part of a culture that champions innovative problem-solving and continuous improvement. Together, we build environments where both clients and employees can thrive, driving positive change with each project.
If you’re close to matching our requirements, we encourage you to apply—your unique talents could be the perfect fit.
Overview
As a Data Engineer, you’ll join our Technology team, where your expertise will support data architecture, engineering, and integration efforts. You’ll work to enhance data systems and pipelines, optimize data collection, and implement best practices for data quality and security. This position involves collaborating with cross-functional teams to ensure our data architecture supports ongoing business objectives.
Key Responsibilities
- Develop and maintain scalable data pipelines for data extraction, transformation, and loading (ETL) from various internal and external sources.
- Build and assemble complex data sets that meet both functional and non-functional business requirements.
- Collaborate with data engineers, analysts, and stakeholders to deliver actionable insights and optimize data delivery.
- Identify and implement process improvements, such as automating tasks and redesigning infrastructure to improve scalability.
- Conduct data quality analysis, maintain master data, and ensure data integrity and consistency across all data sources.
- Document data architecture, pipeline workflows, and create data models to facilitate effective data management.
- Work with stakeholders, including business, product, and technology teams, to support data infrastructure and troubleshoot data-related issues.
- Provide guidance to team members, sharing expertise on best practices in data engineering, data system creation, and data validation.
Job Qualifications
- Bachelor’s degree in IT, Data Science, or related field; or equivalent experience.
- Proficiency in Python/Scala for data engineering and ETL processes.
- Strong expertise in Apache Spark for data transformations.
- Experience with Spark SQL and standard SQL (e.g., PostgreSQL, MySQL).
- Hands-on experience with at least one platform: Cloudera, Databricks, or Snowflake.
- Experience with data warehousing, cloud services (AWS, Azure), and analytical tools (e.g., Power BI).
- Skilled in data extraction, transformation, and preparation for analysis.
- Strong communication skills for effective collaboration across disciplines and with team members of varying technical backgrounds.
- Ability to manage multiple projects with competing deadlines in a fast-paced environment.
Compensation & Benefits
In addition to a competitive salary, we offer:
- Comprehensive medical, dental, and vision plans.
- Life and disability insurance.
- 401(K) and Roth retirement plan options and Profit Sharing.
- Paid Time Off and Paid Holidays.
- Company sponsored Team Outings
HYBRID WORK
- This is a hybrid environment; the team works both remotely and within the Lisle, IL office
Inclusion & Diversity
Our organization is committed to fostering a culture of inclusion and respect for diverse backgrounds, perspectives, and experiences. We provide equal employment opportunities and uphold policies to ensure a workplace free from discrimination based on race, gender, disability, and other protected characteristics.
Ready to join a team where you can make an impact and be valued for your unique strengths? Apply today and help us create a future powered by data-driven insights and collaboration.
Please note that candidates MUST be authorized to work for any employer in the US without the need for sponsorship. Clearance of standard background checks is required. We value diversity in our workplace.
Job Type: Full-time
Pay: $90,000.00 - $100,000.00 per year
Benefits:
- Dental insurance
- Flexible schedule
- Health insurance
- Paid time off
- Retirement plan
Compensation Package:
Schedule:
Application Question(s):
- Please rate your Python Experience from 1-10 with 10 being the highest.
- Are you willing to undergo a background check, in accordance with local law/regulations?
- Are you comfortable working in a hybrid setting?
- What is the earliest start date if hired?
- Have you worked with other types of ETL platforms or tools other than listed on job description?
Education:
Experience:
- Spark: 2 years (Required)
- Python: 2 years (Required)
Work Location: Hybrid remote in Lisle, IL 60532
