Data Engineer @ Wealthfront | Jobright.ai
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Wealthfront · 1 day ago

Data Engineer

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Responsibilities

Collaborate with and enable data scientists, analysts, product managers, and business functions by curating the datasets that they require.
Model the business data layer (normalized and denormalized) that will expose data in terms of business entities.
Design, build and deploy scalable and reliable data pipelines (using SQL and other languages) to move and transform data to create business entities.
Maintain a data catalog of business entities and their attributes to help others understand data semantics.
Be extremely vigilant and proactive about data quality. Data quality as measured by axes like completeness, consistency, and timeliness should be of paramount importance to you and you should be quantitative in your focus on it.
Manage reporting and dashboarding tools being used by colleagues across the company to transform data into meaningful insights.
Help define and maintain company wide metrics and deploy them with data quality checks.
Build a new best-of-breed data access layer on top of the data platform (Presto/Athena, S3, Redshift) to expose data to all stakeholders.
Become a subject matter expert in various areas of Wealthfront data, including within domains such as clickstream, product usage, and client financials.
Work within a team of Data Engineers working together to deliver timely, high quality implementations within the company’s scrum process.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLData PipelinesPythonJavaScalaSparkHadoopAWS QuicksightTableauData Access LayerBusiness MetricsAmplitudeIterableBrazeData QualityData Catalog

Required

4-6 years of experience designing and building metrics-focused deliverables within a data-driven, consumer-facing software company.
Expert level SQL knowledge for manipulating data within MPP relational databases.
Deep knowledge of and experience with one or more high level programming languages such as Python, Java, or Scala.
Experienced in big data processing using distributed processing frameworks like Spark or Hadoop Map Reduce.
Experience with one or more analytic reporting tools such as AWS Quicksight or Tableau.
You exhibit all the professional qualities that make you a great Data Engineer: analytic, great communicator, collaborative, detail oriented, etc.
You have a BS or MS in Computer Science or related field.

Preferred

Experience with product and marketing data tools such as Amplitude, Iterable, or Braze will be valuable.

Benefits

Medical
Vision
Dental
401K plan
Generous time off
Parental leave
Wellness reimbursements
Professional development
Employee investing discount
And more!

Company

Wealthfront

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Wealthfront integrates investing and saving products to help young professionals build long-term wealth in any market condition.

H1B Sponsorship

Wealthfront has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (7)
2022 (6)
2021 (19)
2020 (23)

Funding

Current Stage
Late Stage
Total Funding
$274.2M
Key Investors
UBSTiger Global ManagementSpark Capital
2022-09-02Convertible Note· $69.7M
2018-01-04Series E· $75M
2014-10-27Series D· $64M

Leadership Team

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David Fortunato
CEO
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Amy Fox
Vice President, Strategic Partnerships
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Company data provided by crunchbase
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