Data Engineer

  • 3401 North Thanksgiving Way, Lehi, UT 84043, USA
  • Full-time

Company Description

Ranked in the Inc. 500 Fastest Growing companies in the US, Jane is more than just a workplace; it’s a lifestyle. We’re a boutique marketplace featuring the latest in women's fashion trends, home decor, and children's clothing at prices that are too good to pass up. We work hard because we care about what we do and whether it’s done right. We are Jane.com.

Job Description

We are looking for someone to become a builder and trusted advisor to Jane by helping the company make better, evidence-based decisions that optimize our growth.  Jane’s Data Engineer is expected to be an expert in preparing, cleaning, modeling, and loading data with experience in data integration, data warehousing, and creating data products.  A data engineer at Jane is responsible for the development, construction, maintenance and testing of architectures, such as databases and large-scale processing systems, and is also expected to assist the analytics team in fulfilling data requests as needed.

Qualifications

 

  • Able to discover the right question by uncovering the missing context to provide the correct answer

  • Understand business processes and how to measure and improve them in an organization

  • Proficient and comfortable with SQL and descriptive statistics

  • Ensure data platforms performance meets needs of reporting tools

  • Performance tuning slow queries and reporting data structures

  • Take primary responsibility in creating and maintaining data pipelines and monitoring data movement.

  • Profile data sources, create dimensional models, implement ETL, and load into data warehouse and data lake.

  • Work closely with teams to identify high-value data and integrate it into the data platform to empower each team to make data-driven decisions.

  • Help develop and maintain applications built using Big Data solutions such as Redshift, Apache Airflow, S3, Presto, Python, and Hive.

  • Ensure data quality and establish best practices across data infrastructure.

  • Build, manage, and deploy distributed systems in the AWS ecosystem.

  • Ensure the data are well documented, high quality, and security is properly administered.

  • Interact with stakeholders throughout the organization to understand the business questions they are trying to answer and turn those questions into data engineering and analytics requirements.

  • Deliver clean, scalable, maintainable code and monitoring.

  • Ensure SLAs are met for data pipelines.

  • Help manage our reporting platform by collaborating on data models, data structure, and visualizations.

  • Help the company make better use of data through training on dashboards, data insights, and analytical thinking generally.

  • Able to extract data from a variety of data sources for ad-hoc analysis and integration into data warehouse.

  • Troubleshoot data quality issues and work to resolve them with the data team and stakeholders.

  • Able to communicate findings in data through clear, consumable, audience-centric way regardless of whether the medium is written, oral, or visual.

  • Bonus

  • Experience with configuration and maintenance of distributed computing systems such as Hadoop.

  • Python

  • Machine Learning

  • Microsoft SQL Server

  • Linux shell

  • AWS Lambda

Additional Information

All your information will be kept confidential according to EEO guidelines.

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