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

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 #J-18808-Ljbffr Nerdleveltech