Data Engineer
EVERYTABLE, PBC —Los Angeles, CA
- $115,000 - $150,000 a year
- Full-time
- Remote
- Mid-level
- Analysis skills
- 2 years
- Paid holidays
- Health insurance
Quick Apply
Sr. Data Engineer
WelbeHealth —Los Angeles, CA
- $120,164.59 - $158,617.26 a year
- Remote
- Computer science
- 7 years
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
Regard —Los Angeles, CA
- $160,000 - $190,000 a year
- Full-time
- Hybrid work
- Background check
- Computer science
- Computer Science
- Health insurance
- Dental insurance
Quick Apply
Data Engineer
Fincons.US, Inc. —Los Angeles, CA
- Full-time
- Computer science
- Computer Science
- 5 years
Quick Apply
Data engineer
Biztec global —Glendale, CA
- $124,712.93 - $150,191.91 a year
- Full-time
- Computer science
- Computer Science
- 5 years
- Dental insurance
- 401(k)
Quick Apply
9d
Data Engineer
Whatnot —Los Angeles, CA
- $180,000 - $260,000 a year
- Full-time
- Remote
- 3 years
- APIs
- Senior level
- Paid parental leave
- Health insurance
Data Engineer
Horizon Surgical Systems, Inc. —Los Angeles, CA
- $120,000 - $134,000 a year
- Computer Science
- System design
- SQL
- Paid time off
Quick Apply
Data Engineer II
Sony Pictures Entertainment Inc. —Culver City, CA
- $120,000 - $160,000 a year
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- SQL
Sr Data Engineer
Disney Entertainment and ESPN Product & Technology —Santa Monica, CA
- $141,900 - $208,400 a year
- Computer science
- Computer Science
- 5 years
Data Engineer III
Herbalife —Torrance, CA
- Full-time
- Computer Science
- 5 years
- System design
- Paid parental leave
- Health savings account
Data Analytics Engineer
AmaWaterways, LLC —Calabasas, CA
- $90,000 - $100,000 a year
- Full-time
- Mid-level
- SQL
- Communication skills
Quick Apply
AI & Data Systems Engineer (Remote)
Ceribell, Inc —Los Angeles, CA
- $141,000 - $173,000 a year
- Email
- Remote
- Azure
- Computer Science
- Salesforce
- Employee stock purchase plan
- Paid holidays
Quick Apply
Software Engineer/Data Scientist (full- and part-time)
Common Crawl —Beverly Hills, CA
- Part-time
- Research
- Java
- Software development
Senior Data Engineer
Regard —Los Angeles, CA
- $165,000 - $220,000 a year
- Full-time
- Hybrid work
- Background check
- Computer Science
- HIPAA
- Health insurance
- Dental insurance
Quick Apply
8d
Sr. Data Engineer
Contact Government Services, LLC —Los Angeles, CA
- $144,768.00 - $209,109.33 a year
- Full-time
- Hybrid work
- 7 years
- SQL
- IT
- Health insurance
- Dental insurance
Quick Apply
Senior Data Engineer
Metropolis —Los Angeles, CA
- $160,000 - $220,000 a year
- Evenings as needed
- Computer science
- Computer Science
- 5 years
- Disability insurance
- Health insurance
Quick Apply
Senior Data Engineer
Versant Media —North Hollywood, CA
- $140,000 - $160,000 a year
- Email
- Hybrid work
- Computer science
- Computer Science
- 5 years
- Health insurance
- Dental insurance
Quick Apply
Data Analytics Software Engineer
Motive Companies —Santa Clarita, CA
- $38 - $55 an hour
- Contract
- Computer science
- Azure
- Computer Science
Quick Apply
4d
Data & Analytics Engineer
True Classic —Los Angeles, CA
- Mid-level
- Office
- SQL
- Health insurance
- Dental insurance
Quick Apply
Sr. Data Engineer
Fabletics —El Segundo, CA
- $140,000 - $150,000 a year
- Full-time
- 6 years
- DevOps
- SQL
- Health insurance
- 401(k)

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data engineer jobs near north hollywood, ca

Data Engineer

EVERYTABLE, PBC
Los Angeles, CA

Quick Apply

Job Details

Full-time
$115,000 - $150,000 a year

Benefits

Paid holidays
Health insurance
Unlimited paid time off
Dental insurance
401(k)
Vision insurance

Qualifications

Systems integration
Programming languages
Integration with Third-Party Services (system development)
Query management

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.

Quick Apply

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