Technology Partners is currently seeking a talented Imagery Data Engineer. Do you have experience in engineering data-intensive solutions using streaming and/or resource-based design principles in cloud environments? Let us help you make your next big career move a reality!
What You Will Be Doing:
Join a cutting-edge team at the forefront of spatial and location data integration for digital products. As an Imagery Data Engineer, you will lead in designing, implementing, and maintaining data assets and capabilities crucial to Bayer Crop Science's Imagery pipelines and services in a multi-cloud environment.
Key Responsibilities:
- Collaborate with data engineers, data stewards, data scientists, platform engineers, and software developers to deploy large-scale cloud-based solutions
- Implement and maintain scalable cloud infrastructures and optimize data pipelines
- Monitor and troubleshoot issues in cloud environments, ensuring system performance, data integrity, and security
- Participate in incident response and contribute to troubleshooting efforts for Imagery data pipelines and API services
- Contribute to code quality practices, and participate in code reviews, testing, and other team activities to enhance delivery quality
- Develop technical documentation to accurately represent application design and code
- Optimize data pipelines for performance, reliability, and cost-effectiveness in collaboration with stakeholders and platform engineers
- Explore and recommend new solutions to improve existing processes and technologies
Required Skills & Experience:
- Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field
- Experience in engineering data-intensive solutions using streaming and/or API design principles
- Proficiency in deploying pipeline solutions to cloud environments like AWS, Google Cloud Platform, Azure, etc., using services such as GCS/S3, GCE/EC2, Cloud Functions/Lambda, Pub/Sub/SQS/SNS, GKE/EKS, etc.
- Strong understanding of data architecture and modeling, including both logical and physical models for datasets
- Hands-on experience with cloud-based data stores like AWS Aurora Postgres, Google BigQuery, Elasticsearch, etc., and at least one NoSQL database
- Familiarity with containerization technologies (Docker, Kubernetes) and orchestration platforms
- Experience with monitoring and logging tools like Grafana, Prometheus, ELK stack, Datadog, or equivalent
- Strong interpersonal skills and ability to thrive in a fast-paced, collaborative environment
Desired Skills & Experience:
- Proficiency in Golang or Python and associated geospatial libraries (GoDAL/GDAL, Rasterio, PyProj, PDAL, PySTAC, etc.)
- Experience developing HTTP APIs (OpenAPI, REST, gRPC, GraphQL)
- Knowledge of processing UAV or satellite imagery for modeling and analysis
- Familiarity with cloud-based machine learning platforms and data science tools/libraries (AWS Sagemaker, TensorFlow, PyTorch, Scikit-Learn, Pandas, etc.)
- Experience with Continuous Integration, Continuous Delivery (CI/CD) concepts and tools (GitHub Actions, Argo, etc.)
- Interest or background in agriculture, life sciences, bioinformatics, environmental sciences, biology, or related STEM disciplines
- Experience working with geospatial datasets and formats (WKT, geojson, COGs, OGC services, etc.)
- Familiarity with SpatioTemporal Asset Catalog (STAC) specification and implementations
- Experience developing Software Development Kits (SDKs) to advance software capabilities
- Hands-on experience with Infrastructure as Code (IaC) tools like Terraform
- Knowledge of standard cloud authentication and authorization patterns
Pay: $85.40 – $122 /hr.
We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to provide sponsorship at this time or accept candidates who would require a corp-to-corp agreement.
If this position sounds like you, WE SHOULD TALK!
We realize our people are our most valuable asset, that is why we offer the following benefits:
- Health, Dental, and Vision insurance
- 401(k) retirement plan
- Long and Short-Term disability
- Life insurance
- Direct deposit
- Referral program
Your better future is ready, and we want to put the right tools in your hands to get you there. Let's go!
Keywords: Imagery data engineer, cloud infrastructure, data pipelines, AWS, GCP, Azure, data architecture, data modeling, Docker, Kubernetes, geospatial data, CI/CD, Python, Golang
Looking for more opportunities with Technology Partners? Check out technologypartners.net/jobs!
Technology Partners is an Equal Opportunity Employer. Technology Partners does not discriminate on the basis of race, color, religion, sex, national origin, age, disability or any other characteristic protected by applicable state or federal civil rights laws.
All offers of employment at Technology Partners are contingent upon clear results of a thorough background check and drug screening that meet corresponding laws and regulations at the city, state and federal level.
Pay ranges are influenced by candidate qualifications, experience, and role specifics, with the actual rate determined considering skills, market conditions, and are subject to change by the employer; pay negotiations follow all state and federal legal guidelines.
