Data Engineer, Digitization Technology

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

The Data Engineer Digitization Technology is part of the Biologicals and Chemicals Division one of the fastest-growing areas of the company supporting developers and manufacturers of biological-based therapeutics and vaccines. This role contributes to the divisions digitization efforts by enabling reliable high-quality experimental data to flow from laboratory systems into downstream analytical platforms.

Working at the intersection of laboratory systems and the enterprise data platform the Data Engineer plays a key role in ensuring experimental data is structured interpretable and ready for use in analytics reporting and future advanced data applications.

Location : Grand Island NY

Division : Biologicals and Chemicals Division

Responsibilities

• Develop maintain and support mission-critical data pipelines that move experimental data from laboratory systems (e.g. LIMS and ELN) into the divisions data lake.
• Ingest and curate historical experimental data addressing inconsistencies data quality issues and evolving data structures to ensure downstream usability and trust.
• Maintain and support the LIMS environment including troubleshooting data-related issues and collaborating with system stakeholders to resolve root causes.
• Apply data quality checks validation logic and monitoring to ensure accuracy consistency and completeness of ingested data.
• Collaborate closely with data architecture data operations and platform teams to align ingestion processes with established data standards and platform requirements.
• Support downstream analytics and reporting use cases by ensuring experimental data is well-structured documented and appropriately contextualized.
• Contribute to documentation of data pipelines data structures and ingestion processes to support transparency reuse and long-term maintainability.
• Continue to develop technical skills across data engineering analytics and visualization through hands-on work and collaboration with more senior engineers.

Education

Experience & Technical Skills

Working Style & Collaboration

Compensation and Benefits

The salary range estimated for this position based in New York is $66000.00$90000.00.

This position may also be eligible to receive a variable annual bonus based on company team and / or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on which includes :

A choice of national medical and dental plans and a national vision plan including health incentive programs

Employee assistance and family support programs including commuter benefits and tuition reimbursement

At least 120 hours paid time off (PTO) 10 paid holidays annually paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave) accident and life insurance and short- and long-term disability in accordance with company policy

Retirement and savings programs such as our competitive 401(k) U.S. retirement savings plan

Employees Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits please visit : Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 66000 - 90000