Senior Data Engineer - Remote Position in Sustainable Agriculture

About the Role

We are seeking a Senior Data Engineer to join our team in a fully remote capacity. This role is pivotal in enhancing our analytical data infrastructure, enabling access to large, complex datasets in the sustainable agriculture sector. As a Senior Data Engineer, you will collaborate with business stakeholders to align technical strategies with strategic goals, ensuring that our data solutions effectively support our mission to address global food security challenges.

What You'll Do

• Support analytical data infrastructure for complex datasets, including genomic, phenotypic, environmental, image, and geospatial data.
• Collaborate with business stakeholders to develop technical strategies that align with organizational goals.
• Interface with DevOps teams to extract, load, and transform data using big data technologies.
• Deploy high-value, high-performance datasets and create real-time data pipelines on AWS.
• Embed data quality monitoring and intelligent reporting with anomaly detection capabilities.
• Research and implement new big data and visualization technologies to improve our data offerings.
• Work closely with data scientists to integrate advanced analytics into data pipelines.
• Improve automation processes and simplify data-as-a-service offerings.

Requirements

• Bachelor’s degree in Engineering, Computer Science, or a related field.
• A minimum of five years of experience as a Data Engineer, Software Engineer, Technology Analyst, or in a similar role.
• Five years of experience with implementing end-to-end data solutions, including data models, pipelines, and business intelligence.
• Experience designing data warehouse architectures, OLAP technologies, and schema design (Star, Snowflake).
• Proficiency in building BI and big data reporting solutions using tools like Tableau, OBIEE, Looker, or PowerBI.
• Experience architecting database systems using Oracle, SQL Server, Postgres, Spark, or Hadoop.
• Three years of experience designing real-time analytics platforms with sub-minute latencies using Kafka, Spark, AWS, or GCP.
• Familiarity with using Datadog for data quality monitoring and alert setup.

Nice to Have

• Experience building self-service BI capabilities and CI/CD frameworks with Buildkite, Jenkins, or Gitlab.
• Collaboration experience with Data Scientists on data products for machine learning, clustering, prediction, and statistics.
• Experience building ETL pipelines with big data technologies including BigQuery, Redshift, BigTable, Aerospike, Dataproc, or EMR.

What We Offer

• Flexible work options to support work-life balance.
• Full medical, dental, and vision benefits starting on day one.
• 401k plan with company match, profit sharing, and retirement savings contributions.
• Paid vacation, nine paid holidays, maternity and paternity leave.
• Education assistance, wellness programs, and corporate discounts.

Join us as a Senior Data Engineer and contribute to innovative solutions in sustainable agriculture while enjoying the benefits of remote work. Apply now to be part of a team that is making a difference!