28 Data Engineer Jobs in Palo Alto, CA
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Earnin is Hiring a Data Engineer Near Palo Alto, CA
About Earnin:
As one of the first pioneers of earned wage access, our passion at Earnin is building products that deliver real time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. Since our founding, our app has been downloaded over 13M times and we have provided access to $10 billion in earnings.
We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world class talent onboard to help shape the next chapter of our growth journey.
Position Summary:
We are a data driven mobile financial tech company. The Data Engineering team builds the tools and data products that power data science, analytics, and product development at Earnin. We are looking for a product-minded, self-driven Data Engineer to help us advance our mission of enabling people to gain access to their paycheck on demand.
This is a remote position.
What You'll Do:
- Translate complex, open-ended problems into elegant design and build high quality, maintainable data products and tools.
- Design and build massively scalable, production-grade data services and pipelines that power machine learning model development and actionable analytics.
- Build robust and reliable data products that enable automated reporting, experimentation, A/B testing, anomaly detection, and root cause analysis.
- Work with data scientists and analysts to productionalize model deployments and pipelines.
- Champion data quality and governance throughout Earnin by maintaining and extending a clean data ecosystem for the company.
- Actively engage and drive design reviews and code reviews.
- Work cross functionally with other teams (data science, design, product, marketing, and analytics) in high visibility roles.
- Communicate the tradeoffs of technical decisions to multiple stakeholders, including non-technical audiences.
What We're Looking For:
- BS or MS degree in Computer Science, Engineering, Electrical Engineering, or a related technical field.
- Excellent written and verbal communication skills, including the ability to identify and communicate data driven insight.
- Curiosity and a drive to learn. Willingness to be assertive and drive solutions independently.
- 4 years of development experience in a fast-paced environment.
- 4 years of experience working with analytical data systems and building production applications.
- Advanced knowledge of analytical SQL and data modeling.
- Strong Python programming skills.
- Experience building, deploying, maintaining, and tuning Spark-based applications.
- Taking pride in your code quality and helping others elevate their own code quality.
- Substantial experience developing production ETL processes.
- Substantial experience with testing, data validation, and data quality assurance.
- Hands-on experience working with a varied set of data storage technologies (e.g. Mysql, Postgres, DynamoDB, S3, etc.). You know where and when to use each.
- Experience with physical data modeling on cloud storage: file formats, compression, partitioning strategies, etc.
- Experience with cloud data platforms like Snowflake or Databricks and/or cloud data warehouses like Redshift.
- Experience with BI tools like Looker, Tableau, and Periscope.
Job Summary
Full Time
$122k-152k (estimate)
12/09/2022
01/11/2023
earnin.com
PALO ALTO, CA
200 - 500
2012
Private
RAM PALANIAPPAN
$10M - $50M
Related Companies
About Earnin
Earnin is a web and mobile-based application that enables employees to get on-demand access to unpaid wages.
The job skills required for Data Engineer include SQL, Python, Data Engineering, Data Warehouse, Computer Science, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
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.
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.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.
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