Data Engineer

 (3+ years exp)
$115k – $150k • 0.0% – 0.5%
Published: 2 weeks ago
Avatar for Fig - Food is Good

Fig - Food is Good

Solving the problem of dietary restrictions for millions of people

Job Location

Job Type

Full Time

Visa Sponsorship

Not Available

Remote Work Policy

Remote only

Hires remotely

Everywhere

Preferred Timezones

Eastern Time

Relocation

Allowed

Skills

Python
SQL
Web Scraping
ETL
AWS

The Role

Fig is building a digital food-as-medicine platform to help anyone with complex dietary needs live an easier, healthier life around food. We're a fast-growing, early-stage startup supporting over 1,000,000+ users and backed by top VCs including Sequoia, Artis Ventures, Goodwater Capital, and Correlation Ventures. Our users love us (4.7 stars on app stores) as Fig changes their lives: "THANK YOU!! It is sometimes such a struggle to find PCOS-compliant snacks, ingredients, etc. This app has truly changed my life in the 2 weeks I’ve had it!”

Fig’s mission is to help millions of people with dietary restrictions more easily find food. Our core product, the Fig phone app, already helps hundreds of thousands of people navigate food at grocery stores and restaurants each month.

Our company is seeking a highly skilled Data Engineer with extensive experience in building data ingestion, processing, and instrumentation systems at scale.

What You will do:

As a Data Engineer at Fig, you will:

  1. Design, develop, and maintain our data architecture, data models, ETL pipelines, and data warehouse.
  2. Collaborate with cross-functional teams to identify business needs and translate them into data solutions.
  3. Implement and optimize data ingestion processes from multiple data sources for real-time analytics and business intelligence.
  4. Set up orchestration engines to run data ingestion processes in the cloud.
  5. Monitor, troubleshoot, and optimize the performance of data pipelines and database systems.
  6. Assist in developing data governance and data quality processes and ensure compliance with data privacy and security policies.
  7. Stay up-to-date with the latest technologies and trends in the data engineering field.

Qualifications

Who you are:

  1. At least 3-5 years of professional experience in data engineering or related roles.
  2. Proficiency in SQL and Python and experience with ETL tools.
  3. Experience with cloud platforms (AWS, GCP, Azure)
  4. Solid understanding of database design, data warehousing concepts, and data modeling.
  5. Proven ability to build and maintain data pipelines and deliver high-quality data solutions.
  6. Strong problem-solving skills, analytical capabilities, and attention to detail.
  7. Excellent communication skills to collaborate with diverse teams.
  8. EXTREME attention-to-detail, efficiency, competence and a desire to get things right the first time (our users are counting on you!)
  9. Stellar references

Nice to haves:

  1. Experience with web scraping at scale
  2. Personal experience with dietary restrictions (either yourself or a loved one); navigating tricky dietary needs is a daunting task, and prior understanding of these challenges will be helpful.

How We Work:

Fig is a fully remote team. We generally work US hours, with most of our meetings happening between 12-5 PM EST. We speak and write in English and generally expect employees to be proficient in communicating in English. That said, we don’t have a strict geographic requirement if you are willing to work within those constraints. We expect this role to integrate into our software development lifecycle and join team meetings for sprint planning, retrospectives, and review.

What we offer:

  • Competitive salary
  • Be part of building company culture
  • For full-time employees:
    • Meaningful equity in the form of stock options
    • 401(k) plan
    • Medical, Dental, and Vision Insurance
    • Flexible time off and paid holidays

How To Apply

Please reach out to [email protected] with a resume or any questions. If we are interested, we will schedule an introductory call to get to know you more!

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