Lead Data Engineer Finance Tech

Pay is based on several factors which vary based on include labor markets and in some instancesmay include education work experience and addition to your pay Target cares about and invests in you as a team member so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs which may include medical vision dental life insurance and more to help you and your family take care of your whole benefits for eligible team members include 401(k) employee discount short term disability long term disability paid sick leave paid national holidays and paid competitive benefits from financial and education to well-being and beyond at TARGET AS A LEAD DATA ENGINEER FINANCE TECHNOLOGY SOLUTIONS

About 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 of Targets enterprise operations. We build and support platforms that enable critical business capabilities across Accounts Payable Accounts Receivable Vendor Income Treasury Financial Planning Core Accounting Revenue & Receivables and Enterprise Financial Controls. Our financial reporting platform brings these data domains together to deliver near real-time insights enabling accurate financial reporting and faster data-driven decision-making. Join our global in-house technology team of more than 5000 engineers data scientists architects and product managers who are striving to make Target the most convenient safe and joyful place to shop. We use agile practices and leverage open-source technologies to build best-in-class solutions for our team members and guests.

About the Role:
As a Lead Data Engineer you will serve as the technical lead for the engineering team designing and developing scalable high-performance data solutions. You will drive the evolution of our data architecture ensuring it meets both functional and non-functional business requirements while delivering reliability efficiency and scalability. Your expertise in big data technologies distributed systems and cloud platforms will help shape the engineering roadmap and establish best practices for data processing analytics and real-time data services. You will play a key role in architecting and optimizing data pipelines using Hadoop Spark Scala/Java and cloud technologies to support enterprise-wide data initiatives.

Key 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 requirements and deliver data-driven solutions
• Lead the design implementation and lifecycle management of data services and platforms
• Stay current with emerging technologies and promote the adoption of best practices in big data engineering cloud computing and API development
• Provide technical leadership and mentor engineers to foster engineering excellence and best practices

Core responsibilities of this job are articulated within this job description. Job duties 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
• 7 plus years of experience in data engineering software development or distributed systems
• Expertise in Big Data technologies such as Hadoop Spark and distributed processing frameworks
• Strong programming skills in PySpark Scala and/or Java
• Experience with cloud platforms (AWS GCP or Azure) and associated data services (e.g. S3 BigQuery Databricks EMR Snowflake)
• Proficiency in API development using REST GraphQL or gRPC to support real-time and batch data access
• Experience with real-time and streaming data architectures like Kafka Flink or Kinesis
• Strong knowledge of data modeling ETL pipeline design and performance optimization
• Understanding of data governance security and compliance in large-scale data environments
• Strong problem-solving skills and the ability to thrive in complex evolving environments
• Excellent communication and collaboration skills with experience working across cross-functional teams

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Targets needs. A Hybrid/Flex for Your Day work arrangement means the team members core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually depending upon what your role team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

In compliance with state and federal laws Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process please reach out to Non-accommodation-related requests such as application follow-ups or technical issues will not be addressed through this channel.