Data Engineer
SKIMSLos Angeles, CA, USjob_description.job_card.variable_hours_ago
serp_jobs.job_preview.job_type
- serp_jobs.job_card.full_time
job_description.job_card.job_description3-5 years experience in a data engineering role, preferably working in a direct-to-consumer business Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases and statistical programming languages (Python, R, etc.) Experience building and optimizing cloud based big data pipelines, architectures and data sets leveraging a combination of SaaS and custom build solutions Successful history of manipulating, processing and extracting value from large, disconnected datasets Strong project management and organizational skills Direct experience supporting data visualization tools like Looker (highly desired), Tableau, or PowerBI Demonstrated success working in a fast-paced, swiftly changing startup environment BA / BS in Computer Science, Statistics, Informatics, Information Systems or other quantitative fields highly desirable 100% Company Paid Healthcare (medical, dental, vision) Kind Body Fertility Benefits 401(k) savings plan with up to 4% match Unlimited PTO Full Access to LinkedIn learning Employee Discounts Free weekly catered lunch at HQ – M / W / Th Dog-Friendly office Free Swag Giveaways Annual Holiday Party Annual Summer Party Invitations to pop-ups and other company events Complimentary daily office snacks and beverages
Job Description
Job Description
Description
We are looking for a Data Engineer to be a founding member of our Data and Analytics team. In this role you will be responsible for building the foundational data analytics, reporting, and data pipelines platforms that power data-driven decision making across the entire company. This role is also critical in building data products and dashboards to empower data-driven decision making across the organization.
Key Responsibilities
- Architect and maintain data and analytics systems, leveraging tools like Looker, to generate actionable insights that inform business decisions.
- Build and integrate complex data sets that meet customer and business needs, driving data-informed decision-making company-wide.
- Develop and implement process enhancements and innovative solutions to improve data infrastructure scalability, efficiency, and automation.
- Design and optimize data pipelines for seamless extraction, transformation, and loading of data from various sources.
- Create analytics tools and platforms that enable team members to build, optimize, and share reports and dashboards, fostering collaboration and improvement.
Skills, Knowledge & Expertise
Job Benefits
Benefits and Culture
Perks (HQ Location)
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Data Engineer • Los Angeles, CA, US