Company Description About Syngenta At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture. As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges. We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact. Join our mission of revolutionizing plant protection from seed to harvest. Job Description Support 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. 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. Deploy high value, high performance datasets. Create and support real-time data pipelines built on AWS technologies. Embed quality and intelligent reporting capabilities into data pipelines including detection of anomalies and changes in trends with meaningful alerts and statistics. Provide new capabilities and increase efficiency by continually researching the latest big data and visualization technologies. Collaborate with data scientists and other tech teams to implement advanced analytics algorithms into data pipelines that exploit rich datasets for statistical analysis, prediction, clustering, and machine learning. Improve automation and simplifying data as a service. Role is fully remote. Qualifications This position requires a Bachelor’s degree in Engineering (Any), Computer Science, or a related field of study and five (5) of experience in the position offered or five (5) years of experience as a Data Engineer, Software Engineer, Technology Analyst, or a closely related occupation. Requires five (5) years of experience with: - Working with business and technical stakeholders to implement end‐to‐end data solutions including data models, data pipelines, and business intelligence products - Designing and implementing DW Architectures, OLAP technologies, Star schema, Snowflake schema, and Aggregation Techniques. - Gathering requirements and building custom BI and big data reporting solutions using Tableau, OBIEE, Looker, or PowerBI. - Architecting database management systems with Oracle, SQL Server, Postgres, Spark, or Hadoop. - Working with data structures and algorithms. - Programming and scripting languages including Shell, Python, Scala, or PySpark. Requires three (3) years of experience with: - Designing and building real time analytics platform with latencies less than a minute using Kafka, Spark, AWS, or GCP. - Working with Datadog to identity issues with data quality and anomalies, and setup alerting. - Setting up custom frameworks to identify data quality issues and introduce self-service Business Intelligence capabilities using CI/CD tools including Buildkite, Jenkins, or Gitlab. - Collaborating with Data Scientists and building data products that help machine learning teams in clustering, prediction, and statistical analysis. - Building data pipelines to extract load and transform data using big data technologies including BigQuery, Redshift, BigTable, Aerospike, Dataproc, or EMR. - Must pass a background check and drug test before beginning employment. Additional Information What We Offer: - A culture that celebrates belonging and 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 on your first day. - 401k plan with company match, Profit Sharing & Retirement Savings Contribution. - Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts, among other benefits. 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. Family and Medical Leave Act (FMLA) (http://www.dol.gov/whd/regs/compliance/posters/fmla.htm) Equal Employment Opportunity Commission's (EEOC) (http://webapps.dol.gov/elaws/firststep/poster_direct.htm) Employee Polygraph Protection Act (EPPA) (http://www.dol.gov/whd/regs/compliance/posters/eppa.htm) #LI-DNI

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Engineer - REMOTE. You will play a crucial role in shaping the backbone of the data platform, ensuring security, reliability, and trust while managing vast volumes of data from workouts and health-related sources. Your expertise will directly impact product innovation, AI, and analytics, allowing our partner to continue redefining the training experience. By building and scaling data systems, you'll contribute to personalizing experiences and enhancing coaching. Your work will ensure that sensitive information is protected while maintaining compliance with an ever-evolving regulatory landscape. - Architect secure and scalable data systems that support growth and meet regulatory standards. - Build and optimize data models and pipelines across diverse sources: sensors, workouts, and health integrations. - Establish controls for access, encryption, anonymization, monitoring, and auditability. - Define and enforce best practices for managing sensitive data, including PHI and PII. - Collaborate with teams across various departments to translate needs into compliant solutions. - Conduct risk assessments and implement safeguards guided by NIST frameworks. - Support SOC 2 audits by documenting and demonstrating effective security controls. - Mentor engineers and scientists, setting high standards for secure data engineering. - Continuously evolve the platform, introducing tools and frameworks to balance innovation with regulatory compliance. Qualifications - 8+ years of experience in data engineering, or 6+ years with a Master’s degree (or equivalent). - Strong skills in SQL, Python, and distributed data processing (Spark, Databricks, or similar). - Experience building pipelines with DBT, Airflow, Fivetran, or related tools. - Background in data modeling and warehousing with systems like Snowflake, Databricks, or Redshift. - Hands-on experience working with regulated environments and sensitive data. - Familiarity with frameworks such as HIPAA, SOC 2, and NIST for security and compliance. - Skilled in access control design, audit logging, encryption, and governance. - Excellent communicator who can explain complex tradeoffs to both technical and non-technical audiences. - Known for technical leadership and mentoring, raising the bar for engineering quality. Benefits - Flexible work schedule with remote opportunities. - Collaborative work environment with cross-functional teams. - Opportunities for professional growth and development. - Inclusive culture that celebrates diversity and nurtures unique perspectives. - Support for accessible work arrangements and accommodations. - Innovative projects that leverage cutting-edge technology and data. - Participation in ongoing training and skill enhancement programs.

• Build a clear understanding of Vibe’s key data flows, sources of truth, and ownership. • Help define schemas, data contracts, documentation, and standards for how data should be used across the company. • Improve data discoverability so teams can confidently understand what data exists, where it lives, and how to use it. • Establish practical standards around data quality, lineage, observability, and ownership. • Define, maintain and enforce data lifecycle policies. • Help teams track data cost and usage. • Define and implement data compliance practices aligned with Vibe’s business, partners, and regulatory needs. • Partner with Legal, Product, Security, and Engineering to assess the impact of new data sources, partnerships, and use cases. • Help clarify what data can be used, how it can be used, where it should live, and how long it should be retained. • Support Vibe’s ability to work confidently with premium publishers, enterprise advertisers, and strategic partners. • Build guardrails, not gatekeepers, enabling engineers and teams to move fast while making safe, compliant decisions. • Embed governance and compliance into existing engineering workflows, tools, and architectural decisions. • Help Vibe transition toward a more security, and compliance-aware, data culture. • Identify the biggest risks, gaps, and opportunities, then define a pragmatic roadmap to address them.

• As a Senior Data Engineer at Coody, you'll dive into technically exciting and intellectually challenging assignments to design and build fully automated data platforms and pipelines that creates real business value. • Each assignment is 6–24 months and will give you both broadness and deepness from various industries and companies. • As a consultant, you are expected to ramp up fast and deliver value from day one, often in new environments.