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Federato
San Francisco, CA | Full Time
$127k-157k (estimate)
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Sephora
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Data Engineer
Federato San Francisco, CA
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$127k-157k (estimate)
Full Time Just Posted
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Federato is Hiring a Data Engineer Near San Francisco, CA

Federato Technologies is a Series B startup based in San Francisco, CA backed company funded by some of the most prominent VCs in the Bay Area. We build software leveraging data and AI to enable large insurance carriers to improve their portfolio optimization and make insurance affordable again. You will be the first hire into the data science & engineering team, reporting directly to the head of data science. You will collaborate closely with the head of data science to facilitate and bolster the implementation of Machine Learning features. Your responsibilities will include making pivotal development and architectural decisions on a daily basis, and you will engage directly with customers to activate AI features, playing a key role in both the company's success and our customers' long-term achievements. This is a remote position, but we do have an office in San Francisco. As part of our hiring process, we are required to run a criminal background check.
Responsibilities
    • Develop, design, create, modify, and/or test ETL pipelines or systems to support our Machine Learning and Analytics capabilities
    • Ensure quality of data through their flow, implement guardrails, health checks and alerts
    • Be able to collaborate with customers and understand in depth their data ecosystem to successfully consolidate our data models for predictive modelling
    • Develop a strong understanding of relevant data domains, codebase, and/or systems
    • Demonstrate proficiency in data engineering, data architecture, programming, and software engineering
    • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
    • Work independently, use available resources to get unblocked, and complete tasks on schedule by exercising strong judgment and problem solving skills
    • Master internal development standards from developing to releasing code in order to take on tasks and projects with increasing levels of complexity
    • Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines that enable the Product Support team to deliver compelling user-facing features
    • Be able to work with customer empathy in ensuring that data processes and flows support their needs
Requirements
    • Demonstrated interest in data and machine learning for impact
    • University degree in Computer Science, Data Science, Information Systems, Data Mining, Mathematics, Statistics, Physics, Applied Sciences, or a related field
    • 2 years of hands-on industry experience in data engineering
    • Familiarity with event backbone and job pool platforms (Kafka, etc)
    • Willingness to get hands dirty across a broad variety of internal and client software
    • Experience engaging with customers and translating customer needs to valuable features
    • 2 years of experience with Typescript, Python (Django) and have built complex ETL pipelines
    • Hands-on experience with SQL database design, data modelling and data mining
    • Demonstrated ability to pick up new technologies quickly and learn on the spot
    • Experience in design and code reviews
$140,000 - $170,000 a year
Here at Federato, your capabilities are important, but culture fit is quintessential. We move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning and the ability to change our minds. Most importantly, we're here to have fun, so sticks-in-the-mud need not apply.

Job Summary

JOB TYPE

Full Time

SALARY

$127k-157k (estimate)

POST DATE

04/28/2024

EXPIRATION DATE

05/11/2024

WEBSITE

federato.ai

SIZE

<25

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

Kandji
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3 Weeks Ago

If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

03/03/2022: Boulder, CO

Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

Step 3: View the best colleges and universities for Data Engineer.

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