We are seeking a Senior Data Engineer to be a member of an innovative team working in a collaborative DataOps environment assembled from data engineers, data scientists, visualization and analytics experts drawn from IT and R&D teams. Relationship building, collaboration and influencing will be key in an environment of data complexity and difficult data integration challenges.
Accountabilities:
- Support an analytical data infrastructure providing application, tool and ad-hoc access to large datasets consisting of complex data types including genomic, phenotypic, environmental, image and geospatial data.
- Lead, coach and develop more junior engineers and IT professionals.
- Engage with business stakeholders to understand strategic roadmaps and build a technical strategy to support them.
- Interface with DevOps teams to extract, load and transform data from a wide variety of data sources using big data technologies in AWS cloud including Glue, EMR, and Lambda.
- Deploy high value, high performance datasets in Snowflake.
- Creation and support of real-time data pipelines built on AWS technologies including Glue, S3, Lambda, EMR, EventBridge, Athena, Kinesis, and IoT Core.
- Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics.
- Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.
- Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into our data pipelines that exploit our rich datasets for statistical analysis, prediction, clustering, and machine learning.
- Help continually improve automation and simplifying data as a service.
PLEASE NOTE: Candidates must reside in and be permanently authorized to work in the United States without current or future employer sponsorship. This includes, but is not limited to, OPT, CPT, and H-1B visa holders.
- Degree in computer science, information science, engineering, mathematics, or related technical discipline.
- 8+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets.
- Strong experience with data integration (ETL/ELT) concepts.
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of, and experience with data transformation technologies and tools
- Experience with SQL and NoSQL technologies
- Desire to work with Agile/DataOps practices and methodologies
- Experience with continuous integration practices
- Able to write, debug, unit test, and performance test data integration processes
- Able to clearly define data quality issues
- Strong problem solving/critical thinking skills
- Ability to lead, mentor and coach other engineers
- Ability to communicate with, and influence, senior stakeholders
What We Offer:
- A culture that celebrates belonging & collaboration, promotes professional development, and strives for a work-life balance that supports the team members. Offers flexible work options to support your work and personal needs.
- Full Benefit Package (Medical, Dental & Vision) that starts your first day.
- 401k plan with company match, Profit Sharing & Retirement Savings Contribution.
- Paid Vacation, Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits.
Syngenta has been ranked as a top employer by Science Journal.
Learn more about our team and our mission here:
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
WL5B
Salary for this position ranges from $114,100 - $211,900 annually
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