{"id":175768,"url":"https://alion.io/job/target-lead-data-engineer-finance-tech","title":"Lead Data Engineer - Finance Tech","company":{"id":3684,"name":"Target","domain":"target.com","url":"https://alion.io/company/target","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":99,"open_postings":284,"ghost_share":0.025,"stale_share":0.173,"repost_share":0.046,"time_to_fill_p50_days":8,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brooklyn Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":132000,"max":238000,"currency":"USD","period":"year","gross":null,"usd_annual":238000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"GraphQL","optional":false},{"name":"gRPC","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-14T00:00:00Z","employer_posted_date":"2026-09-11","last_verified_at":"2026-10-24T04:43:18Z","board_verified":true,"closed_at":null,"days_open":72,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":72},"description":"The pay range is $132,000.00 - $238,000.00Pay 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 at https://corporate.target.com/careers/benefits.\nJOIN TARGET AS A LEAD DATA ENGINEER - FINANCE TECHNOLOGY SOLUTIONS\nAbout Us:\nWorking 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.\nAbout the Team:\nFinance 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.\nAbout the Role:\nAs 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.\nKey Responsibilities\nArchitect and build scalable, high-performance data pipelines and distributed data processing solutions using Spark, Scala/Java and cloud platforms (AWS, GCP, or Azure)\nDesign and implement real-time and batch data processing solutions, ensuring data is efficiently processed and readily available for analytical and operational use\nDevelop APIs and data services that provide low-latency, high-throughput access to data for downstream applications, enabling real-time decision-making\nOptimize and enhance data models, workflows, and processing frameworks to improve performance, scalability, and cost efficiency\nDrive data governance, security, and compliance best practices\nCollaborate with product teams and business stakeholders to understand requirements and deliver data-driven solutions\nLead the design, implementation, and lifecycle management of data services and platforms\nStay current with emerging technologies and promote the adoption of best practices in big data engineering, cloud computing, and API development\nProvide technical leadership and mentor engineers to foster engineering excellence and best practices\nCore responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.\nAbout You\nBS or MS in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics or a related technical field preferred\n7 plus years of experience in data engineering, software development, or distributed systems\nExpertise in Big Data technologies such as Hadoop, Spark, and distributed processing frameworks\nStrong programming skills in PySpark, Scala, and/or Java\nExperience with cloud platforms (AWS, GCP, or Azure) and associated data services (e.g. S3, BigQuery, Databricks, EMR, Snowflake)\nProficiency in API development using REST, GraphQL, or gRPC to support real-time and batch data access\nExperience with real-time and streaming data architectures like Kafka, Flink or Kinesis\nStrong knowledge of data modeling, ETL pipeline design and performance optimization\nUnderstanding of data governance, security, and compliance in large-scale data environments\nStrong problem-solving skills and the ability to thrive in complex, evolving environments\nExcellent communication and collaboration skills, with experience working across cross-functional teams\nThis 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.\nBenefits Eligibility\nPlease paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_EAmericans with Disabilities Act (ADA)\nIn 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 -accommodation-relatedrequests, such as application follow-ups or technical issues, will not be addressed through this channel.\nApplication deadline is : 10/01/2026","description_format":"text","description_chars":6310,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Life insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-08-30T13:22:10Z"},{"event":"close","at":"2026-09-11T05:44:44Z"},{"event":"reopen","at":"2026-09-11T14:45:10Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.269,"p_room":0.28,"age_days":71,"expected_fill_days":8,"reasons":["conf:1","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":238000,"is_top_pay":true},"html_url":"https://alion.io/job/target-lead-data-engineer-finance-tech","json_url":"https://alion.io/job/target-lead-data-engineer-finance-tech.json","meta":{"generated_at":"2026-10-25T05:53:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8114,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3684},"rest":"https://alion.io/mcp/rest/get_company?id=3684"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftarget-lead-data-engineer-finance-tech"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Ftarget-lead-data-engineer-finance-tech"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Ftarget-lead-data-engineer-finance-tech"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/target-lead-data-engineer-finance-tech\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftarget-lead-data-engineer-finance-tech"}]}