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