{"id":4346952,"url":"https://alion.io/job/tjx-staff-engineer-data-engineering-analytics-aiml","title":"Staff Engineer - Data Engineering, Analytics & AI/ML","company":{"id":1758993,"name":"TJX","domain":"tjx.com","url":"https://alion.io/company/tjx-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":9,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"DataStage","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Unix","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Cognos","optional":true},{"name":"Master Data Management","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-15T22:23:17Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"TJX CompaniesAt TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores-TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family-a Fortune 100 company and the world’s leading off-price retailer.\nJob Description:\nStaff Engineer\nWhat you’ll discover\nInclusive culture and career growth opportunities\nA truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more\nChallenging, collaborative, and team-based environment\nWhat you’ll do\nThe Global Merchandising Solutions Team is responsible for managing various merchandising, analytics, and distribution-related solutions within TJX IT. The organization delivers capabilities that enrich our internal customer experience and provide core business value. We are seeking an experienced and hands-on Staff Engineer, Data Engineering(primary), Analytics and AI/ML, who will play a key role in designing, developing, modernizing, and optimizing enterprise data platforms, data integration solutions, ETL frameworks, and analytics capabilities. The Staff Engineer will partner effectively with product teams, architects, business partners, and cross-functional engineering teams to deliver scalable, reliable, and secure data solutions while fostering an inclusive culture and growth mindset.\nWhat you’ll need\nThe Global Merchandising Solutions Team thrives on strong relationships with our business partners and works diligently to address their needs while supporting TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team, you will be challenged to think creatively, solve complex engineering problems, and drive technical excellence.\nDesign, develop, and optimize scalable data integration solutions that support enterprise analytics, reporting, and AI/ML use cases.\nProvide extensive hands-on technical expertise for data engineering initiatives and guide teams in delivering reliable, maintainable, and high-performing solutions.\nShape, evaluate, and redesign existing data architecture, data models, and integration frameworks to improve scalability, performance, resilience, and maintainability.\nDesign, develop, and maintain enterprise ETL/ELT pipelines using Talend as the primary integration platform, with experience in Informatica and IBM DataStage.\nDesign and implement modern data solutions using Snowflake and Databricks, applying platform best practices for performance, security, governance, scalability, and cost efficiency.\nDevelop data warehouse solutions and dimensional, relational, and analytical data models that meet evolving business and analytics requirements.\nWrite and optimize advanced SQL queries, SQL scripts, stored procedures, ETL jobs, batch processes, and large-scale data workloads.\nCreate architecture and solution design documents, data flow diagrams, interface specifications, and detailed technical specifications.\nDevelop engineering solutions using Python, SQL, Unix shell scripting, stored procedures, and related database programming techniques.\nImplement and improve scheduling and orchestration using tools such as Control-M, AutoSys, DAC, TAC, TMC, or comparable platforms.\nApply DevOps practices and CI/CD automation to data pipelines, database changes, ETL code, testing, and deployments.\nCollaborate with Product Owners, Architects, Analytics teams, AI/ML teams, business partners, and other Data Engineering teams to deliver end-to-end solutions.\nEnable analytics, Data Science, Machine Learning, and GenAI initiatives by providing high-quality, governed, scalable, and trusted data foundations.\nLead technical design reviews, code reviews, troubleshooting, root-cause analysis, performance tuning, and production-readiness activities.\nMentor junior ETL developers and data engineers, promote engineering standards, and foster knowledge sharing and continuous improvement.\nCommunicate complex technical concepts clearly and effectively to technical and non-technical stakeholders.\nDemonstrate a solution-oriented mindset, strong ownership, adaptability, and the ability to quickly learn new technologies and business domains.\nMinimum Qualifications\nBachelor's Degree in Computer Science, Information Technology, Engineering, Analytics, or a related field and 9+ years of relevant experience in Data Engineering, ETL development, Data Warehousing, Data Modelling or related disciplines.\nExtensive hands-on experience designing, developing, and supporting enterprise data integration and ETL/ELT solutions.\nExpert-level SQL skills, including complex query development, SQL script optimization, execution-plan analysis, performance tuning, stored procedures, and database programming.\nStrong expertise in Data Warehousing, dimensional modeling, relational data modeling, and enterprise data architecture.\nDeep hands-on experience with Talend, including ETL pipeline design, development, optimization, scheduling, monitoring, troubleshooting, and production support.\nWorking experience with one or more additional ETL platforms, such as Informatica or IBM DataStage will be good to have.\nHands-on experience designing or developing data solutions using Snowflake and Databricks.\nHands on experience on any BI tool like Power BI , Tableau , Cognos etc\nProgramming and scripting experience using Python, SQL, Unix shell scripting, and stored procedures.\nExperience with workload scheduling and orchestration tools such as Control-M, AutoSys, DAC, TAC, TMC, or equivalent technologies.\nKnowledge of DevOps practices, source control, automated testing, and CI/CD implementation for data pipelines and database deployments.\nExperience producing architecture documents, solution designs, data flows, technical specifications, and operational support documentation.\nStrong analytical, troubleshooting, and problem-solving capabilities across complex and data-intensive environments.\nProven ability to lead technical delivery, influence engineering decisions, and mentor ETL developers and data engineers.\nStrong written and verbal communication skills with the ability to work effectively across engineering, architecture, product, and business teams.\nSelf-motivated, collaborative, and solution oriented, with a growth mindset and commitment to continuous learning.\nPreferred Qualifications\nExperience with Microsoft Azure data technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Microsoft Fabric, or related services.\nExperience supporting enterprise Business Intelligence, Analytics, Data Science, Machine Learning, AI, or GenAI solutions.\nKnowledge of data governance, metadata management, data lineage, data quality, master data management, and access-control practices.\nUnderstanding of modern lakehouse architectures, medallion design patterns, distributed data processing, and cloud data platform modernization.\nExperience implementing monitoring, observability, alerting, and DataOps practices for enterprise data pipelines and platforms.\nExperience working with data systems across cloud, hybrid, and multiple operating-system environments.\nExperience in retail, merchandising, supply chain, or another large-scale enterprise analytics environment is a strong plus.\nStrong business acumen and the ability to connect technical solutions with measurable business outcomes.\nAdvanced degree in Computer Science, Data Engineering, Analytics, AI, Distributed Computing, or a related field is a plus.\nIn addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.\nAddress:\nSalarpuria Sattva Knowledge City, Inorbit RoadLocation:\nAPAC Home Office Hyderabad IN","description_format":"text","description_chars":8510,"description_truncated":false,"requirements":{"experience_years_min":9,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Growth opportunities","Home office"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems","Apparel & Fashion Brands","Home Decor"],"lifecycle":[{"event":"open","at":"2026-11-15T22:23:17Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.839,"p_room":0.9,"age_days":20,"expected_fill_days":33,"reasons":["conf:0","win:mid","comp:brand"],"computed_at":"2026-11-15T23:12:10Z"},"pay":null,"html_url":"https://alion.io/job/tjx-staff-engineer-data-engineering-analytics-aiml","json_url":"https://alion.io/job/tjx-staff-engineer-data-engineering-analytics-aiml.json","meta":{"generated_at":"2026-11-15T23:12:10Z","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":19804,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1758993},"rest":"https://alion.io/mcp/rest/get_company?id=1758993"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftjx-staff-engineer-data-engineering-analytics-aiml"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Ftjx-staff-engineer-data-engineering-analytics-aiml"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Ftjx-staff-engineer-data-engineering-analytics-aiml"},{"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/tjx-staff-engineer-data-engineering-analytics-aiml\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftjx-staff-engineer-data-engineering-analytics-aiml"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4346952}},{"tool":"search_jobs","arguments":{"company":"tjx.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4346952},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}