Senior Data Engineer

Join Target As A Sr Data Engineer – Finance Ai PlatformThe pay range is $98,000.00 - $176,000.00. 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, 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 selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond.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.Team Overview: Finance Technology within Core Retail Services powers the financial backbone of Target's 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 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, with a strong focus on diversity and inclusion, experimentation, and continuous learning.Position Overview: As a Senior Data Engineer, you will design, develop, and optimize scalable, high-performance data solutions that power critical financial systems across Target. You will contribute to the evolution of our data architecture, ensuring it meets both functional and non-functional business requirements while delivering reliability, efficiency, and scalability. Leveraging your expertise in big data technologies, distributed systems, and cloud platforms, you will build and optimize data pipelines, analytics solutions, and real-time data services. Working closely with engineers, product managers, and business stakeholders, you'll help deliver enterprise-scale data capabilities that support financial reporting and operational decision-making.Key Responsibilities:Design, build, and maintain scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure)Develop and optimize batch and real-time data processing solutions to ensure reliable, high-quality data for analytical and operational useBuild APIs and data services that provide low-latency, high-throughput access to data for downstream applicationsDesign and optimize data models, ETL workflows, and processing frameworks to improve performance, scalability, and cost efficiencyApply data governance, security, and compliance best practices throughout the data lifecycleCollaborate with data scientists, product teams, and business stakeholders to understand requirements and deliver scalable data solutionsContribute to the design, implementation, and continuous improvement of enterprise data platforms and servicesEvaluate emerging technologies and help drive adoption of engineering best practices in big data, cloud computing, and API developmentMentor junior engineers through code reviews, technical guidance, and knowledge sharing while fostering a collaborative engineering culture.Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.About You:4-year degree in Quantitative disciplines (Science, Tech, Engineering, Mathematics) or equivalent industry experience required; MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred5 plus years of experience in data engineering, software development or distributed systemsDemonstrated expertise 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)Experience developing APIs using REST, GraphQL, or gRPC to support real-time and batch data accessExperience with streaming and real-time data technologies such as Kafka, Flink, or KinesisStrong understanding of data modeling, ETL pipeline design, and performance optimizationFamiliarity with data governance, security, and compliance in enterprise-scale data environmentsStrong analytical and problem-solving skills with the ability to work effectively in complex environmentsExcellent communication and collaboration skills, with experience partnering across engineering, product, and business teamsSelf-driven and results-oriented, with strong ownership, sound judgment and the ability to move quickly while maintaining high technical standardsCollaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable tech systems that create business valueThis 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. Click here if you are curious to learn more about Minnesota.Benefits Eligibility: Please paste this url into your preferred browser to learn about benefits eligibility for this role.Americans with Disabilities Act (ADA): 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 View email address on click.appcast.io. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.