Data Engineer; Remote, US time zone

Freelance | futureproof | Remote Job

Posted On 02.02.2026

IT Services

Work Experience 5+ years

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.

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

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

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)

Project Duration: 10 months+

Location: Open to candidates based in US or Europe