Senior Data Engineer

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As a Data Engineer, you will:

• 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.

Education, Skills, and Experience:

• You have 5-10 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.
• Experience with product and marketing data tools such as Amplitude, Iterable, or Braze will be valuable.
• 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.