{"id":200992,"url":"https://alion.io/job/target-senior-engineer-backend-data","title":"Senior Engineer - Backend data","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":93,"open_postings":345,"ghost_share":0.02,"stale_share":0.406,"repost_share":0.038,"time_to_fill_p50_days":8,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":9500,"max_usd":22000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":168},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Copilot","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Java","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-09-04T12:55:18Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-11-02T12:46:57Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":59},"description":"About Target\nTarget is an iconic brand, a Fortune 50 company, and one of America’s leading retailers.\nTarget as a tech company? Absolutely. We are the behind-the-scenes powerhouse that fuels Target’s passion and commitment to cutting-edge innovation. Our teams build and operate the technology that powers every part of Target’s digital and store experience. We combine modern engineering practices, cloud technologies, data, and innovative thinking to deliver reliable, scalable solutions that create meaningful value for our guests and team members.\nOur high-performing teams balance independence with collaboration, and we pride ourselves on being versatile, agile, and creative. We are committed to building technology that operates smoothly, securely, and reliably while continuously exploring new ways to solve complex business problems.\nAbout the Role\nAs a Senior Data Engineer, you will play a key role in designing, developing, and optimizing large-scale data platforms and pipelines that support critical business and analytical use cases. You will work across the full data lifecycle, from data ingestion and transformation to storage, processing, quality, and consumption.\nYou will apply strong expertise in Big Data, Apache Spark, Scala, and Google BigQuery to build high-performance, scalable, and reliable data solutions. You will work closely with engineers, architects, product teams, data scientists, and business partners to translate complex requirements into robust technical solutions.\nThe ideal candidate combines strong data engineering fundamentals with a passion for solving complex problems, optimizing large-scale workloads, and continuously learning emerging technologies. Experience with Java/Spring Boot and exposure to AI-assisted engineering tools such as GitHub Copilot and Claude will be an added advantage.\nWhat You’ll Do\nDesign, develop, and maintain scalable data pipelines and data processing frameworks using Spark, Scala, BigQuery, and other Big Data technologies.\nBuild robust ETL/ELT pipelines for high-volume and complex datasets.\nDevelop efficient data models and optimize BigQuery tables using appropriate partitioning, clustering, query design, and storage strategies.\nDesign and implement scalable batch and distributed data processing solutions using Apache Spark.\nDevelop reusable frameworks and components to improve engineering productivity, data processing efficiency, and operational reliability.\nAnalyze and optimize large-scale data workloads for performance, scalability, reliability, and cloud cost efficiency.\nImplement data quality, validation, monitoring, and observability across data pipelines and datasets.\nTroubleshoot complex data, pipeline, infrastructure, and production issues and drive root-cause resolution.\nParticipate in architecture and design discussions and contribute to technical decisions involving data platforms and cloud technologies.\nCollaborate with Product, Analytics, Data Science, Architecture, and other engineering teams to deliver high-quality data products.\nParticipate in code reviews, design reviews, testing, debugging, and production support activities.\nFollow engineering best practices around CI/CD, automation, security, reliability, and operational excellence.\nEvaluate and adopt emerging technologies that improve data engineering productivity and platform capabilities.\nContribute to technical documentation, engineering standards, and knowledge-sharing across the team.\nExplore and adopt AI-assisted development tools such as GitHub Copilot, Claude, and similar solutions to improve developer productivity and engineering efficiency.\nIdentify practical opportunities to leverage Generative AI for code development, code reviews, debugging, documentation, data analysis, and automation.\nStay current with emerging AI and data engineering technologies and evaluate their applicability to Target's technology ecosystem.\nAbout You\nBachelor's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience.\n5+ years of experience in software or data engineering, with significant experience building and supporting large-scale data platforms.\nStrong hands-on experience with:Apache Spark\nScala\nGoogle BigQuery\nBig Data / Distributed Processing\nData Warehousing\nETL/ELT\n\nStrong SQL skills and experience working with large and complex datasets.\nExperience designing and optimizing data pipelines for high-volume, high-performance processing.\nStrong understanding of distributed computing concepts, data partitioning, joins, aggregation, scalability, and performance optimization.\nExperience with cloud-based data platforms, preferably Google Cloud Platform (GCP).\nGood understanding of data modeling, including fact/dimension models and analytical data structures.\nExperience with data quality, monitoring, observability, and production support.\nStrong problem-solving skills with the ability to independently troubleshoot complex technical issues.\nAbility to participate in architecture discussions and translate business requirements into scalable technical solutions.\nStrong communication and collaboration skills.\nPreferred / Good-to-Have Skills\nJava and Spring Boot experience.\nExperience building REST APIs or microservices.\nKafka or other event-streaming technologies.\nExperience with cloud-native architectures and GCP services.\nExperience with Python and Shell scripting.\nExperience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms.\nExperience with containerization technologies such as Docker.\nExperience with data quality platforms such as Monte Carlo or equivalent.\nExposure to Generative AI and AI-assisted development tools, including GitHub Copilot, Claude, or similar tools.\nExperience developing or contributing to reusable data engineering frameworks.\nExperience in Retail, AdTech, Media, Analytics, or other high-volume data domains is a plus.","description_format":"text","description_chars":5917,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["E-commerce Platforms","Online Groceries"],"lifecycle":[{"event":"open","at":"2026-09-04T12:55:18Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long 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