47 applicants

Company

Valdera · 5 hours ago

Senior Data Engineer

United States

Full-time

Remote

Mid, Senior Level

$135K/yr - $165K/yr

4+ years exp

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Responsibilities

Investigate the critical business needs of Valdera’s ops team and end users to design effective data solutions

Lead the re-design and re-construction of the data layer that empowers Valdera to access accurate information on suppliers

Design and architect efficient continuous data ETL pipelines from numerous external data sources

Architect our data warehouse modeling layer and establish the schemas which will serve as the foundation for scaling our data

Build out experiments and analytics to demonstrate efficiency of data acquisition and end quality of data

Recruit, develop and retain a high-performing team and culture within your department

Identify gaps and quality issues in our data and improve current data acquisition/cleaning methods

Normalize, sanitize, and validate unstructured data for operational and product use

Coach and mentor less experienced members of the team

Help us grow the data team by participating in candidate interviews and networking

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.

PythonRStatistical data analysisData ETL pipelinesData modelingData acquisitionData validationProject managementNatural Language ProcessingSupply chain experienceChemistry backgroundLeadership experience

Required

Strong programming skills (Python or R preferred). Proficient with statistical data analysis and modeling

Ability to break down high level business problems into concrete analytical solutions

Experience working with external data sources (beyond internal product, marketing, or financial analytics)

Track record of designing and constructing efficient data ETL pipelines for continuous high-quality data acquisition

Strong examples of leading the design and execution of large, long-term projects to solve complex business problems

Master's degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.

4+ years of work experience in data analysis related field

Strong attention to detail: you are able to juggle, navigate and track multiple projects/requirements at once, while driving them to completion

A sense of ownership and thoroughness: you proactively plan your own projects, follow up on action items to ensure that no balls are dropped, and meet all critical milestones

A flexible, can-do attitude: you can and will pivot as needed, you are excited to try new ways of doing things, and you are ready to share ideas to refine our recipe for success

Your start-up mentality: you are excited about playing a role in building and growing a high-growth tech start-up company

Candidates must be eligible to work in the United States, and must also be located in the US.