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At a glance
Job overview
Everytable is hiring a Data Engineer. Everytable is seeking a Data Engineer to develop and maintain scalable pipelines that power business reporting, forecasting, and operational insights, collaborating with finance, marketing, and operations teams to ensure data accuracy, timeliness, and usability.
Key focus areas include Build, maintain, and optimize data pipelines using Apache Airflow, Ensure pipelines are observable, reliable, and easy to monitor, and Implement best practices around scheduling, retries, backfills, and incremental processing.
Successful candidates bring 2-5 Years Data Engineering Experience. Important skills include Apache Airflow, dbt, SQL, Python, and Scripting Language. Preferred (not required): Cloud Data Warehouses, Snowflake, BigQuery, and Redshift.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Data Engineer — Everytable
Location: Remote / Los Angeles Type: Full-time
Salary range : $115,000 - $150,000 Department: Data / Technology
OUR STORY + WHAT MAKES US SPECIAL
Everytable was founded on the belief that healthy food is a human right and shouldn’t be a luxury product. Everytable is a purpose-driven public benefit company; working with us is a unique opportunity to be a part of making history by redefining and transforming the food system. We’re passionate about making a positive impact in the communities we serve through affordable food access, as well as economic empowerment and environmental wellbeing.
We’re looking for a Data Engineer to help build and maintain reliable, observable data pipelines and enable analytics and reporting across the business.
Role Overview
As a Data Engineer at Everytable, you will develop and maintain scalable pipelines that power business reporting, forecasting, and operational insights. You’ll work closely with finance, marketing, and operations teams to ensure data is accurate, timely, and easy to use. You’ll be responsible for building robust pipelines in Airflow, managing transformation logic in dbt, and ensuring that our data workflows are observable and dependable.
Key Responsibilities
Pipeline Development & Orchestration
Build, maintain, and optimize data pipelines using Apache Airflow
Ensure pipelines are observable , reliable, and easy to monitor (alerts, SLAs, runtime logging, dependency integrity)
Implement best practices around scheduling, retries, backfills, and incremental processing
Transformation & Modeling
Design and develop data models using dbt (or similar transformation tools)
Own the SQL transformation layer: write maintainable, scalable SQL models and documentation
Manage testing and data quality (dbt tests, constraints, anomaly monitoring)
Reliability & Maintainability
Maintain high standards for correctness, traceability, and performance
Improve data pipeline resilience through logging, alerts, documentation, and structured debugging workflows
Support ingestion processes and integrations with external/internal systems as needed
Cross-functional Collaboration
Partner with stakeholders to understand business requirements and translate them into data models and pipeline solutions
Provide guidance on data structure, definitions, and best practices for analysis consumption
Requirements
2–5 years of experience in Data Engineering, Analytics Engineering, Data Science or related roles
Strong proficiency in Python (or another scripting language)
Strong SQL , including advanced transformation patterns (joins, window functions, incremental logic)
Experience building and managing observable pipelines in Airflow
Experience with dbt (or similar transformation-layer tools)
Experience building pipelines that support analytics use cases (e.g., metrics, reporting, dashboards) and enterprise integrations (e.g., ecommerce and ERP integrations)
Nice-to-Haves
(Use these to broaden candidate pool while still attracting strong technical talent.)
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Postgres)
Familiarity with CI/CD for data pipelines (GitHub Actions, dbt Cloud, etc.)
Experience with data observability tools (Monte Carlo, Datadog, Great Expectations, etc.)
Experience with event-based pipelines or APIs (Fivetran, Singer, custom ingestion)
COMPENSATION AND BENEFITS
This incredible full-time opportunity empowers a results-driven development leader to advance access to healthy, affordable meals through an innovative social enterprise model that combines scalable retail and institutional partnerships with a nonprofit arm focused on community entrepreneurship. In addition to a competitive base salary, based on experience, this role offers a comprehensive benefits package that includes medical, dental, and vision insurance, unlimited paid time off, paid holidays, a 401(k) retirement plan, meal discounts, and other resources designed to support employee well-being and professional growth.
Everytable is an Equal Employment Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable federal, state, or local laws.
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