Job Details
Posted 10 August, 2026
Job Id: 629977
Senior Data Engineer
Job Description
Job Overview
We are currently seeking a dynamic, motivated, and highly experienced individual for the position of Contractor, Senior Data Engineer that is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, this individual supports the engineering strategy, ensures data platform scalability, and delivers high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization.
Job Duties and Responsibilities
· Data Pipeline Development
· Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.
· Data Governance & Security
· Enforce strict data quality standards and ensure all system designs meet security compliance requirements.
· Leadership & Strategy
· Mentor junior engineers, translate complex business requirements into technical solutions.
· Performance Optimization
· Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.
· Collaboration & Stakeholder Support
· Ensure implemented Data Products meet the vision and goals of Data Consumers.
· Documentation & Best Practices
· Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards.
Experience and Education
Must have:
· 10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
· Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
· Languages: Advanced proficiency in SQL and Python
· Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
· Data Warehouses & Frameworks: BigQuery or Redshift.
· Orchestration & Streaming: Apache Airflow, dbt (data build tool).
· US-based, Eastern/Central Time Zone
· Fluent English Speaker
Nice-to-have:
· 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
· Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field
· Experience optimizing Data Pipelines
· Prior experience working in the Pharma industry
· Experience with BI Tools (e.g. Tableau)
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field is preferred
Pay ranges between 110-126/hr based on experience
Equal Opportunity Employer
We are proud to be an equal opportunity employer. We welcome and encourage applications from all qualified candidates regardless of race, sex, gender identity or expression, disability, age, religion or belief, sexual orientation, or any other characteristic protected by applicable laws and regulations. It is our policy not to discriminate against any applicant or employee, and we are committed to fostering a diverse, inclusive, and respectful work environment across all locations in which we operate. We believe that diversity, equity, and inclusion are fundamental to our mission and enhance our ability to serve clients globally. If you have a disability or require any reasonable accommodations during the application or interview process, please inform your recruiter or contact us directly so that we can explore the appropriate arrangements.
Fraud Alert
Candidate safety is a top priority at Planet Pharma. The industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet Pharma domain (@planet-pharma.com, @planet-pharma.co.uk, and @ppgadvisorypartners.com) and not a domain with an alternative extension like .net, .org or .jobs.
