Long Term contract position with a major Pharmaceutical firm.
Remote position. (Preference given to candidates able to commute on as needed basis to Central Jersey. )
Experience Level: 1–2 Years
Position Overview
We are seeking a highly motivated, early-career Data Engineer to support a Life Sciences client in building and maintaining data pipelines, transforming real-world data into analytical-ready datasets, and supporting downstream analytics and reporting. This role is ideal for someone who enjoys hands-on coding, problem-solving, and learning in a fast-paced, data-driven environment.
The ideal candidate brings strong foundational technical skills, a logical and analytical mindset, and a genuine interest in growing long-term within data engineering and analytics. The client is willing to invest in training for candidates who demonstrate the right skills, curiosity, work ethic, and attitude.
Required Qualifications
- Bachelor's and Master's degree in Computer Science, Engineering, Data Science, Analytics, Economics, Statistics, Biostatistics, or a related quantitative field.
- 1–2 years of hands-on experience in data engineering, analytics, software development, or related roles (internships and academic projects may be considered).
- Strong working knowledge of SQL (required).
- Experience coding in Python and/or R.
- Experience working with large datasets and data transformation workflows.
- Strong logical thinking and problem-solving skills.
- Ability to understand and implement business rules and data logic accurately.
- Self-driven, highly motivated, and eager to learn in a long-term role.
- Fast learner with strong attention to detail and quality mindset.
- Strong communication and collaboration skills.
Key Responsibilities
Data Engineering & Development
- Design, build, and maintain data pipelines to transform raw data into clean, structured analytical datasets.
- Work with large datasets and apply data algorithms to support analytical workflows.
- Develop scripts and workflows using Python or R for data processing and automation.
- Write and optimize complex SQL queries for data extraction, transformation, and validation.
- Ensure data accuracy, consistency, and performance across pipelines.
Analytics & Reporting Support
- Support the development of dashboards and reports for internal and client stakeholders.
- Assist in translating business logic and rules into technical implementations.
- Perform quality control checks and data validation to ensure reliable outputs.
- Participate in exploratory analysis and research activities as needed.
What Success Looks Like
- Quickly ramps up on data pipelines, tools, and business logic.
- Produces clean, accurate, and reliable analytical datasets.
- Writes efficient, maintainable code and SQL queries.
- Demonstrates ownership, curiosity, and continuous improvement.
- Collaborates effectively with team members and contributes ideas.
- Grows into increased technical responsibility over time.
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