We are looking for a Senior Data Engineer to join our Data Engineering team. The Senior Data Engineer will play a crucial role in designing, building and maintaining our data infrastructure, and ensuring the availability and reliability of diverse datasets for both internal- and external-facing product offerings. The ideal candidate will have a strong background in data engineering, a passion for working with and modeling data, and the ability to design and develop scalable data pipelines using industry-standard tools. In addition, the candidate should be capable of leading the communication and coordination with internal stakeholders to determine and clarify requirements around specific data requests.

Essential Duties and Responsibilities (What you will be doing):

• Design, build, and maintain robust and scalable data pipelines to collect, process, and store data from various sources (S3, APIs, databases, etc.)
• Develop and optimize data models to support the needs of external product initiatives, as well as requests from internal stakeholders (ex. data scientists, analysts, finance, etc.)
• Create and maintain documentation for data pipelines and data models
• Implement data quality checks, validation processes, and monitoring to maintain high data integrity
• Identify and resolve performance bottlenecks in data pipelines and databases for efficient data processing
• Provide guidance and mentorship to junior data engineers by promoting coding and development best practices (testing, code reviews, etc.)

Education and/or Work Experience Requirements (What you need to succeed):

• BS in Computer Science, Data Analytics, or related, plus 5 years of industry experience, or equivalent
• Expert in Snowflake, or related warehousing framework(s)
• Expert understanding of dimensional data modeling
• Expert in writing SQL, including use of stored procedures, etc
• Expert in one or more programming languages (Python, Scala, etc.)
• Expert in ETL, or related, processes to move and transform data between platforms
• Experience with cloud compute providers (AWS, GCP, Azure, etc.)
• Experience analyzing and optimizing query runtimes
• Experience with CI/CD and common development workflows (Git, code reviews, etc.) for building data models
• Experience with writing tests for, and validating, data models

Education and/or Work Experience Bonuses (What will help you succeed):

• Experience working in a startup environment
• Experience with dbt
• Experience with python
• Experience working with dimensional data models
• Experience working with scientific, geographic, demographic and/or wastewater data

Physical Requirements and Special Demands:

• Required standing or sitting for several hours straight at a time.
• Must be able to talk, listen and speak clearly on telephone and video conferencing for several hours each day.

Free medical, dental, and vision insurance for employees and their families, including a $0 deductible medical plan. We want our employees to manage their health and that of their families without worrying about high premiums or deductibles.

Unlimited PTO with 3 week minimum. Whether it's playing MTG or D&D, singing on stage, camping, raising chickens, or anything else that inspires, we want our employees to unplug and explore their passions.

12 weeks parental leave at 100% pay. We love Biobabies and know that bonding with a new child is a critical need for employees and Biobabies alike.

3% Biobot 401k contribution. Regardless of whether our employees contribute, we contribute 3% of salaries into participating employees' 401k accounts because we want to support their long-term financial goals.

$500 home office stipend for remote employees; free parking + commuter benefits and free meals for lab employees. Onsite or at home, we ensure our employees' workspace is set up for success.

At Biobot, we are working together to build a team environment in which everyone can thrive and is proud to belong. We are an equal opportunity employer and our goal is to be a diverse team that is representative, at all job levels, of the society we live in. We encourage applications from candidates of all identities and backgrounds, including those who are traditionally underrepresented in technology startups.

Our mission is to transform wastewater infrastructure into public health observatories. 

Named as one of Fast Company’s most innovative companies in the world in 2021, Biobot Analytics is a wastewater epidemiology company and uses technology developed at MIT to measure biomarkers in sewage to better understand population health in cities. We first launched an opioid product to support government and public health officials in responding to the opioid epidemic, and in 2020 launched a Covid19 product to estimate the scope and trend of the outbreak in communities. We have operated in almost 500 communities across 43 U.S. states, generating Covid19 case estimates for over 13% of the U.S. population.

Battling the opioid epidemic and now the Covid19 pandemic is just the beginning - we’re transforming sewage into a data asset and building a public health database. Eventually, Biobot data will be an early warning system for disease outbreaks, a map of nutrition disparities, and more. Headquartered in the Boston area with an office in NYC, we aim to create the bedrock of human health infrastructure and smart cities in countries across all six continents.

Please note that we are unable to sponsor work visas at this time.

 

www.biobot.io