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Lead Data Engineer - Finance Technology (Hadoop, PySpark, Scala/Java)

Tar*** · Brooklyn Park, MN, United States
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Brooklyn Park, MN, United States132,000-238,000 USD/yearlyHybrid
Remuneration
132,000-238,000 USD/yearly
Location
Brooklyn Park, MN, United States
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Job summary

The pay range is $132,000.00 - $238,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Tar*** cares about and invests in you as a team member, so that you can take care of yourself and your family.

Benefits

Find competitiveFrom financial and education to well-being and beyond at https://corporate.targeJOIN TARGET AS A LEAD DATA ENGINEER – FINANCE TECHNOLOGY SOLUTIONSAbout Us:Working at Target means helping all families discover the joy of everyday life.We bring that vision to life through our values and culture.Learn more about Target here.About the Team:Finance Technology within Core Retail Services powers the financial backbone ofWe use agile practices and leverage open-sourceEligibilityPlease paste this url into your preferred browser to learn about

Qualifications

  • These include labor markets and in some instances may include education, work experience and certifications.
  • while delivering reliability, efficiency, and scalability.
  • Your expertise in big data
  • and deliver data-driven solutions
  • Lead the design, implementation, and lifecycle management of data services and platforms
  • Stay current with emerging

Responsibilities

  • Architect and build scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java and cloud platforms (AWS, GCP, or Azure)
  • Design and implement real-time and batch data processing solutions, ensuring data is efficiently processed and readily available for analytical and operational use
  • Develop APIs and data services that provide low-latency, high-throughput access to data for downstream applications, enabling real-time decision-making
  • Optimize and enhance data models, workflows, and processing frameworks to improve performance, scalability, and cost efficiency
  • Drive data governance, security, and compliance best practices
  • Collaborate with product teams and business stakeholders to understand
  • of this job are articulated within this job description.
  • may change at any time due to business needs.
  • About You
  • BS or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred
  • 7plus years of experience in data engineering, software development, or distributed systems
  • Expertise in Big Data

Skills

CommunicationElectronic Health RecordsLeadership

Degrees

AssociateBachelor

Industry

EducationEnergyInsuranceMediaPublic-sectorRetail

Company size

EnterpriseSmb