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