{"id":191680,"url":"https://alion.io/job/citi-data-analytics-lead-engineer","title":"Data Analytics Lead Engineer","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":473,"ghost_share":0.006,"stale_share":0.129,"repost_share":0.078,"time_to_fill_p50_days":10,"computed_at":"2026-10-26T05:57:25Z"}},"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":["Las Colinas, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":121000,"max_usd":237000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":450},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"Cognos","optional":false},{"name":"Couchbase","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"HBase","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-02T16:57:57Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-24T08:16:14Z","board_verified":false,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":2,"flags":["repost"],"days_open":53},"description":"Citi is looking for a Data Analytics Lead Engineer to design, build, and operate scalable data pipelines and cloud-based data architectures within our Lending business, spanning Mortgage and Personal Loans. This is a hands-on data engineering role where you will develop and maintain production-grade data systems - working across big data platforms, data lakes, and cloud infrastructure - that directly power lending analytics at scale. You will also bring an understanding of AI and ML integration as an additional capability applied within a strong data engineering foundation.\nResponsibilities\nBuild, deploy, and manage end-to-end data pipelines that ingest, transform, and deliver large-scale lending datasets across Mortgage and Personal Loans with high reliability and performance.\nDesign and implement scalable data architectures on cloud platforms, selecting the right tools and approaches across data lakes, data warehouses, and streaming environments.\nArchitect and implement data schemas - choosing from relational, dimensional, normalized, or partitioned models - to meet performance, scalability, and business requirements.\nWrite and optimize complex SQL queries against large-scale datasets, applying sound decisions around distributed and parallel processing to improve pipeline efficiency.\nMonitor, diagnose, and resolve operational and data quality issues across pipelines to ensure accuracy, completeness, and timely delivery of data.\nApply generative AI tools to accelerate core engineering tasks such as code generation, query optimization, and data summarization where appropriate.\nContribute to data engineering standards and collaborate with Business Analysts, Data Engineers, and Data Governance teams to translate business requirements into robust technical solutions.\nRequired Qualifications & Skills\n6+ years of hands-on experience building and managing data pipelines, data warehouses, and data lake solutions using technologies such as Hadoop, Apache Spark, PySpark, Databricks, Delta Lake, Hive, Impala, and Iceberg.\nPractical experience with cloud data platforms including Snowflake, Cloudera, used to build and automate ETL and data ingestion workflows.\nFluency in one or more scripting languages - Python, Scala, or Shell Scripting - applied actively to data engineering, pipeline development, and automation tasks.\nStrong ability to design and query relational and non-relational data stores, with a clear understanding of schema design trade-offs and data modelling principles.\nHands-on experience with workflow scheduling tools such as Autosys or Apache Airflow to manage and orchestrate data pipeline execution.\nConfident use of DevOps practices including version control, build tools, unit testing, monitoring, and change management to support reliable and repeatable delivery.\nExperience with data visualization platforms such as Tableau, Cognos to support data presentation and reporting needs.\nA Bachelor's degree or equivalent university qualification; a Master's degree is preferred.\nBeneficial Skills & Qualifications\nExposure to cloud-based AI and ML services such as Amazon SageMaker, Azure Machine Learning, or Google AI Platform, used to integrate predictive models within data pipelines.\nFamiliarity with NoSQL database technologies such as HBase, MongoDB, Couchbase, Cassandra, or Neo4j.\nDatabricks certification or cloud platform certification in AWS, Azure, or GCP.\nA proactive approach to troubleshooting - able to independently investigate root causes and resolve pipeline or data issues with thoroughness and pace.\nWhat We Offer\nAt Citi, you will work as a practicing data engineer at the center of one of the world's largest financial institutions, solving complex, real-world data challenges across lending products that serve millions of customers globally. We offer the technical scale and team environment to do meaningful engineering work, alongside the flexibility and investment to support your continued growth.\nHybrid working model with 3 days in the office and 2 days working remotely, providing flexibility alongside team collaboration.\nAccess to large-scale, complex data environments and modern cloud infrastructure where your engineering decisions have direct business impact.\nContinuous learning and technical development support, including backing for cloud and platform certifications relevant to your work.\nA collaborative team of data engineers, analysts, and business partners where hands-on technical contribution is valued and visible.\nCompetitive compensation and a comprehensive benefits package designed to support your financial and personal wellbeing.\nBuild the data foundations that power real lending decisions at global scale - apply now to join Citi's Lending Analytics engineering team.\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nData Analytics------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nPrimary Location:\nIrving Texas United States------------------------------------------------------\nPrimary Location Full Time Salary Range:\n$125,760.00 - $188,640.00In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.\n------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nAnticipated Posting Close Date:\nOct 20, 2026------------------------------------------------------\nAutomated Processing and AI\nWe use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.\nImportantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.\nIllinois residents - AI Notice and Right\n------------------------------------------------------\nCiti is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.\nIf you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":7645,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work","Wellness"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-09-02T16:57:57Z"},{"event":"close","at":"2026-09-17T20:01:25Z"},{"event":"reopen","at":"2026-09-21T21:34:12Z"},{"event":"close","at":"2026-09-26T03:40:22Z"},{"event":"reopen","at":"2026-10-22T13:22:50Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"Filed H-1B visas in the last two years","filings_12m":0,"filings_prev_12m":1,"green_card_filings_12m":0,"median_offered_wage_usd":null,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.303,"p_room":0.28,"age_days":53,"expected_fill_days":10,"reasons":["conf:45","repost:2","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-26T05:57:25Z"},"pay":null,"html_url":"https://alion.io/job/citi-data-analytics-lead-engineer","json_url":"https://alion.io/job/citi-data-analytics-lead-engineer.json","meta":{"generated_at":"2026-10-26T12:44:55Z","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":17523,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-27T00:00:00Z"}},"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":7841},"rest":"https://alion.io/mcp/rest/get_company?id=7841"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fciti-data-analytics-lead-engineer"},{"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%2Fciti-data-analytics-lead-engineer"},{"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%2Fciti-data-analytics-lead-engineer"},{"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/citi-data-analytics-lead-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fciti-data-analytics-lead-engineer"}]}