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

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This a Full Remote job, the offer is available from: Indiana (USA)

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



This offer from "futureproof consulting" has been enriched by Jobgether.com and got a 74% flex score.
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