Data Engineer

Foodsmart; California (MO); Remote; USD 130,000 - 155,000; Full time

Job summary

A leading nutrition and foodcare solution company is seeking a Senior Data Engineer. This role involves optimizing data pipelines, collaborating with data scientists, and ensuring efficient data flow. Join a remote-first team dedicated to improving health outcomes through data-driven initiatives.

Benefits

Unlimited PTO

Healthcare Coverage

401k, bonus, & stock options

Gym reimbursement

Qualifications

• Minimum 2 years experience in Data Engineering.
• Expert in data warehouse architecture and automated data pipelines.

Responsibilities

• Optimize data delivery for cross-functional teams.
• Design and maintain scalable data pipelines.
• Develop automated data processes.

Skills

Analytical Skills

Collaboration

Proactivity

Education

Bachelor’s degree in Computer Science

Master’s degree

Tools

Snowflake

Redshift

AWS

GCP

Azure

Apache Airflow

Luigi

Job description

About us:

Foodsmart is the leading telenutrition and foodcare solution, backed by a robust network of Registered Dietitians. Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver long-term health outcomes. Through our highly personalized, digital platform, we guide our 2.2 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food.In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment will help us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

Measured: We make data-driven, truth-seeking decisions.

Impactful: We are fueled by achieving our mission and vision.

Collaborative: We help each other be better and create a positive environment.

Hungry: We maintain a healthy growth mindset, seeking to overcome challenges with courage.

Joyful: We take joy in each other, our work, and the privilege of doing this work.

Whether you're a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

About the role:

The Data Engineer is a critical role responsible for constructing and optimizing our data pipeline architecture, collaborating closely with data scientists and analysts to facilitate data-related functionalities. The Data Engineer will be pivotal in designing, building, and maintaining highly scalable data pipelines, optimizing data delivery, and automating data processes. They will work closely with cross-functional teams to ensure efficient data flow and contribute to the success of our data-driven initiatives.

You will:

• Own the optimization of data delivery for various cross-functional teams.
• Design, construct, install, test, and maintain highly scalable data pipelines.
• Collaborate closely with data architects, data scientists, and analysts to fulfill data requirements.
• Develop automated data processes for cleaning, validation, correction, and data mining.
• Identify, implement, and enhance internal process improvements, automating manual processes, and enhancing scalability.

You are:

• Proactive and act as a driving force for efficient data delivery and infrastructure.
• Focused on quality and approach every data-related project with enthusiasm.
• Diligent in ensuring secure and compliant handling of data in accordance with relevant regulations.
• Collaborative and adept at addressing data-related technical issues and supporting stakeholders' data infrastructure needs.
• An expert in data warehouse architecture, data modeling, and automated data pipelines.

You have:

• A minimum of 2 years of experience in a Data Engineering role.
• Hands-on experience with data warehouse solutions such as Snowflake or Redshift
• Experience with cloud platforms such as AWS, GCP, or Azure
• Advanced SQL knowledge and proficiency in working with relational databases.
• Familiarity with data pipeline and workflow management tools like Apache Airflow or Luigi.
• Strong analytical skills and the ability to thrive in a fast-paced environment.
• Familiarity with healthcare data standards like FHIR and HL7 is advantageous but not mandatory.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; Master’s degree is a plus.

$130,000 - $154,999 a year

Role: Senior Data Engineer

Location: Remote

Base Salary Range: $130,000/yr to $155,000/yr + equity + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education or training.

About our benefits and perks:

Remote-First Company

Unlimited PTO

Healthcare Coverage (Medical, Dental, Vision)

401k, bonus, & stock options

Gym reimbursement

Foodsmart is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected class.