Data Engineer (Remote, working in the US time zone)

This is a remote position.

We are looking for an experienced Senior Data Engineer to join a global pharmaceutical client on a long-term project. The role focuses on designing, building, and optimizing scalable, reliable data pipelines and data platforms that support advanced analytics, experimentation, and data-driven decision-making across manufacturing and business domains.

This is a senior-level position requiring deep technical expertise, strong problem-solving skills, and the ability to collaborate effectively with cross-functional teams in a regulated environment.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines using modern data engineering best practices
  

• Develop and optimize ETL/ELT pipelines for structured and semi-structured data
  

• Work extensively with SQL and Python or Scala to process and transform large datasets
  

• Build and manage data solutions on AWS cloud infrastructure
  

• Leverage big data technologies such as Spark, Kafka, and Hadoop
  

• Design and maintain data models and data warehousing solutions
  

• Orchestrate data workflows using tools such as Apache Airflow
  

• Ensure data integrity, quality, and accuracy through validation, cleaning, and preprocessing techniques
  

• Optimize data collection, processing, and storage for performance, scalability, and cost efficiency
  

• Design and conduct experiments to test hypotheses and validate data-driven solutions
  

• Collaborate with analytics, data science, engineering, and business stakeholders to understand data needs and align solutions with organizational goals
  

• Create templates, dashboards, and visualizations to communicate insights clearly to stakeholders
  

• Apply and support data governance, security, and compliance standards, especially in a regulated pharmaceutical environment
  

Requirements

• 10+ years of experience in Data Engineering or similar roles
  

• Strong expertise in SQL and Python or Scala
  

• Hands-on experience with AWS (profiles with strong AWS exposure will be prioritized)
  

• Solid experience with Spark, Kafka, and Hadoop
  

• Proven experience designing and implementing ETL/ELT pipelines
  

• Strong understanding of data modeling, data warehousing concepts, and analytics use cases
  

• Experience with workflow orchestration tools such as Apache Airflow
  

• Strong analytical thinking and problem-solving skills
  

• Excellent communication and collaboration skills
  

• Ability to work independently in a remote, distributed team
  

Nice to Have

• Experience in the pharmaceutical or life sciences industry (top priority)
  

• Knowledge of manufacturing processes and manufacturing data
  

• Experience working in regulated environments (GxP, compliance-driven projects)
  

Benefits

• Project Duration: 10 months+
  

• Work Model: Remote (US time zone collaboration required)
  

• Location: Open to candidates based in US or Europe
  

• Contract Type: B2B / Contract