Job Title Business Intelligence Engineer III - Remote

Reports to: Director of Data Science

About Us

The food service industry is rapidly digitizing, creating a wave of career opportunities for those with an entrepreneurial mindset, a strong work ethic, and the willingness to adapt and grow. iFoodDS offers a food safety, traceability, and quality platform for the global food supply chain (growers, harvesters, packers/shippers, processors, distributors, grocery retailers and foodservice providers). Our market is huge ($10B+), international and growing. We are at the cutting edge of a major shift in how the agricultural industry uses technology—moving from analog processes to digital systems, data analytics and Artificial Intelligence. iFoodDS enables transparency across the supply chain, and helps our customers gain process efficiencies, maintain regulatory compliance, and send safer, wholesome food to market. Our data team powers the insights that enable food supply chain partners to innovate and make smarter, safer decisions towards food safety and quality management.

Office satellite location: Seattle, WA.

Job Overview

Are you a data professional who thrives on transforming raw data into meaningful insights that drive real-world impact? Do you write complex SQL in your sleep, proactively automate your own processes, and get energized optimizing data pipelines to shape the future of analytics and data science?

If so, you may be a great fit for our Business Intelligence Engineer III role.

As a Business Intelligence Engineer III at iFoodDS, you'll own the full analytics lifecycle – from requirements gathering and pipeline development to design of data models and delivery of dashboards and analytical tools that support both our customers and internal stakeholders. You’ll be responsible for the scalability and structure of our reporting systems, drive adoption of modern best practices, and mentor others on the team. As a senior-level contributor, you’ll be expected to take ownership of complex analytics initiatives, define best practices, and help scale data solutions that serve both internal and customer-facing needs.

This 100% remote role is ideal for someone who is relentlessly curious, blends technical fluency with business acumen, enjoys collaboration, and is passionate about continuous improvement of modern data platforms. You look forward to being part of a small, scrappy team and are willing to pitch in with whatever needs to get done.

Responsibilities

Data Modeling & Engineering

Design, build, and maintain robust, scalable data models to support analytics use cases.
Monitor and optimize pipeline performance and cost efficiency using cost management tools.
Proactively drive cloud cost optimization strategies and collaborate with engineering and DevOps to realize performance improvements.
Maintain reporting workflows that ensure reliable and timely delivery of analytics.

Analytics & Visualization

Create, enhance, and maintain customer-facing dashboards and reports that deliver accurate and actionable analytics.
Define and drive standardized metrics and KPIs across products and teams.
Identify advanced analyses (e.g., cohort analysis, period over period) to uncover insights and influence product and business strategy.

Quality, Governance & Automation

Write high-quality SQL and maintain clean, reusable analytics code using version control.
Contribute to data governance practices including documentation, access control, data masking and anonymization, and metric consistency.
Champion analytics best practices and continuously seek opportunities to improve tooling and processes for reporting and data science.

Mentorship & Leadership

Mentor junior team members through code reviews, design sessions, and knowledge sharing.
Take initiative in identifying gaps or opportunities in reporting infrastructure.
Operate independently and with accountability for project outcomes.
Help define team coding standards and reusable frameworks for metric design and dashboard consistency.
Represent analytics engineering in cross-functional planning and roadmap discussions.

Qualifications

Required

Bachelor’s in a quantitative field (e.g., Data/Computer Science, Engineering, Information Systems, Statistics) or equivalent practical experience.
6+ years of proven experience owning end-to-end production data solutions and driving decision-making as an analytics or business intelligence engineer, similar role.
Deep expertise in Snowflake, dbt, SQL, Python, Git and working with a modern BI toolset (e.g., Looker or similar).
Strong business intuition to turn ambiguous stakeholder questions into clear KPIs and metrics.
Effective communicator, comfortable translating complex data concepts for both technical and non-technical audiences.
Team player with humility, curiosity, and a collaborative spirit.

Preferred

Experience applying machine learning to use cases such as quality classification, resource optimization, and forecasting
Familiarity with food supply chain, regulatory reporting, or quality management systems.
Background in enterprise SaaS or customer-facing analytics products.
Exposure to event-driven architectures or real-time analytics.

Compensation

The salary for this position typically ranges from $110,880 to $126,000. This range is intended to reflect prevailing salaries in different geographic locations across the United States as well as the candidate’s job-related knowledge, skills and experience.

Key Benefits

Meaningful work
Positive “Can Do” Company Culture and Core Values
- Customer Delight – We are focused on delivering the right solutions to the right customers.
- Innovation – We are thought leaders and we create transformative solutions.
- Ownership – We take responsibility to ensure we deliver on our commitments.
- One Team – We understand our roles and how we contribute to our goals.
- Results Matter – We all play a role in the success and growth of the company.
Competitive Benefits Package
Medical/Dental/Vision Insurance
Simple IRA (employer match)
Flexible paid time off
Short-term Disability
Parental and other leave
Paid holidays

Please note that the Company participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, the Company is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the Company can take any action against you, including terminating your employment.

iFoodDS

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