Lead Data Engineer - Finance Tech

Lead Data Engineer – Finance Technology SolutionsWorking 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.Finance Technology within Core Retail Services powers the financial backbone of Target's enterprise operations.

Join our global in-house technology team of more than 5,000 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.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 ResponsibilitiesArchitect 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 useDevelop APIs and data services that provide low-latency, high-throughput access to data for downstream applications, enabling real-time decision-makingOptimize and enhance data models, workflows, and processing frameworks to improve performance, scalability, and cost efficiencyDrive data governance, security, and compliance best practicesCollaborate with product teams and business stakeholders to understand requirements and deliver data-driven solutionsLead the design, implementation, and lifecycle management of data services and platformsStay current with emerging technologies and promote the adoption of best practices in big data engineering, cloud computing, and API developmentProvide technical leadership and mentor engineers to foster engineering excellence and best practicesCore responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.About YouBS or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred7 plus years of experience in data engineering, software development, or distributed systemsExpertise in Big Data technologies such as Hadoop, Spark, and distributed processing frameworksStrong programming skills in PySpark, Scala, and/or JavaExperience 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 accessExperience with real-time and streaming data architectures like Kafka, Flink or KinesisStrong knowledge of data modeling, ETL pipeline design and performance optimizationUnderstanding of data governance, security, and compliance in large-scale data environmentsStrong problem-solving skills and the ability to thrive in complex, evolving environmentsExcellent communication and collaboration skills, with experience working across cross-functional teamsThis position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's 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.