Data Engineer

About the Company

Bloomfield is a Carnegie Mellon spinout creating a global platform shaping the future of precision agriculture. We scan farms and vineyards at scale (capturing high-resolution imagery and other sensor data), analyze every plant, and derive actionable intelligence to help growers be more efficient and productive. We collaborate with various movement platform companies, from ATV and tractor manufacturers to robotics startups.

About the Role

Our rapidly growing engineering team is searching for a Data Engineer to help build and maintain our data and image processing pipelines. You will be responsible for designing, implementing, and maintaining the various components of our pipelines, which need to support processing more than 75k images per day. You will be involved in all parts of the data engineering lifecycle, including data generation, ingestion, transformation, storage, and serving of our data.

To be successful in this role, you should have a strong background in software engineering and be proficient in Python. Familiarity with AWS technologies such as Lambdas, Step Functions, Redshift, S3, Athena, and Glue is a big plus.

As a Data Engineer, you will be a part of our engineering team, working to ensure that our data ecosystem is efficient, scalable, and able to support our rapidly growing data needs. You will be responsible for ensuring that the data is cleaned, processed, and transformed appropriately to support our data analytics and machine learning efforts.

Responsibilities

• Designing, implementing, and maintaining our data pipeline, including data generation, ingestion, transformation, and serving
• Ensuring the reliability, security, and performance of the data pipelines
• Troubleshooting and debugging any issues with our data pipelines
• Working with other engineers to understand their data needs and ensure that our data ecosystem can support their requirements
• Optimizing the data pipeline for efficiency, scalability, and reliability
• Developing and maintaining documentation for the data pipeline

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 5+ years of experience as a Data Engineer or a similar role
• Strong proficiency in Python, Pandas, and SQL
• Experience with AWS technologies such as Lambdas, Step Functions, Redshift, S3, Athena, Glue, and Kinesis
• Familiarity with data cleaning, processing, and analytics of image data
• Strong problem-solving and troubleshooting skills
• Excellent communication and collaboration abilities.

What We Offer

In addition to the opportunity to apply and develop your skills toward key business objectives, we offer an excellent compensation package including:

• Competitive base salary
• Medical, dental and vision insurance
• 401(k) retirement plan with company match
• Unlimited PTO
• Parental Leave
• Incentive stock options

Bloomfield is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, sexual orientation, disability, gender identity, protected veteran status, or other protected classes.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.