Data Engineer

San Francisco, CA, US • Posted 2 hours ago • Updated 2 hours ago
Contract Corp To Corp
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

🔗 Matching skills to job...

Job Details

Skills

  • ADF
  • Agile
  • Algorithms
  • Amazon Web Services
  • Analytical Skill
  • Analytics
  • Apache Spark
  • Business Acumen
  • Business Intelligence

Summary

We are looking for Data Engineer for our client in San Francisco, CA
Job Title: Data Engineer
Job Location: San Francisco, CA
Job Type: Contract
Job Description:
Pay Range: $55hr - $60hr
Responsibilities:
  • Lead data science and analytics initiatives across core retail functions ike merchandising, pricing, supply chain, customer behavior, marketing, and omnichannel operations.
  • Collaborate with business leaders to define analytics use cases and translate them into high-impact solutions.
  • Build, deploy, and manage machine learning models and statistical algorithms for forecasting, segmentation, recommendations, and optimization.
  • Interpret and present analytical findings in business-friendly terms, driving adoption of insights and models.
  • Work closely with data engineering teams to ensure data availability, quality, and proper pipeline design.
  • Lead and mentor junior data scientists and analysts, fostering a culture of experimentation and innovation.
  • Drive adoption of analytics tools and platforms across the organization (e.g., dashboards, self-service BI, ML platforms).
Primary Skills:
  • Strong expertise in data science, machine learning, and statistical modeling.
  • Proficiency in tools and languages such as Python, R, SQL, Spark, and Databricks.
  • Experience with retail analytics use cases such as:
  • Sales & demand forecasting.
  • Price & promotion analytics.
  • Customer segmentation & churn prediction.
  • Inventory & supply chain optimization.
  • Assortment & space planning.
  • Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
  • Familiarity with cloud ecosystems (Azure, AWS, or Google Cloud Platform) and MLOps practices is a plus.
  • Strong business acumen and ability to influence stakeholders with data.
Qualifications:
  • Bachelor s or Master s degree in Data Science, Statistics, Computer Science, or a related field.
  • 12 years of experience in analytics or data science, preferably in the retail domain.
  • Proven track record in leading data science projects from ideation to production.
  • Experience working in Agile/SAFe environments and collaborating with cross-functional teams.
  • Certifications in data science, cloud platforms, or analytics tools are a plus.
  • REQUIRED - ADF, SQL(DataOps), Python, Devops.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10516350
  • Position Id: CA_DATE_0317
  • Posted 2 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote or Hybrid in San Francisco, California

Today

Easy Apply

Contract

$60,000 - $65,000

Remote or San Francisco, California

Today

Easy Apply

Contract

$102 - $107 /hr

San Francisco, California

Today

Full-time

USD 114,100.00 per year

Remote or Walnut Creek, California

Today

Full-time

USD 145,204.80 - 217,796.80 per year

Search all similar jobs