{"id":3745860,"url":"https://alion.io/job/citi-data-analytics-engineer","title":"Data Analytics 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":99,"open_postings":549,"ghost_share":0.005,"stale_share":0.188,"repost_share":0.069,"time_to_fill_p50_days":9,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","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":{"min":84580,"max":118020,"currency":"USD","period":"year","gross":null,"usd_annual":118020},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Databricks","optional":false},{"name":"Devin","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Great Expectations","optional":false},{"name":"Hadoop","optional":false},{"name":"Jenkins","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Prefect","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tekton","optional":false},{"name":"Kubernetes","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-04T13:20:24Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T10:51:41Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Overview of the Role:\nCiti, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.\nAs a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.\nOur commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.\nThe Data Analytics Engineer is a hands-on technical role within the Data Analytics team, responsible for designing, building, and optimizing scalable data pipelines, data transformation frameworks, and analytics solutions across distributed cloud and enterprise big data platforms. This position combines core data engineering expertise in Python, PySpark, Snowflake, Databricks, and Hadoop with a modern engineering mindset that leverages AI Coding Agents and developer tools to accelerate delivery and maintain high code quality. The role requires close collaboration with business analysts, data scientists, and functional stakeholders to translate complex business challenges into resilient, high-performance data products. Candidates should bring 2+ years of progressive experience in data engineering or big data analytics, along with strong analytical thinking, problem-solving, and cross-functional communication skills. This opportunity offers exposure to large-scale legacy-to-cloud data migration efforts alongside the adoption of next-generation, AI-augmented engineering practices.\nResponsibilities:\nDesign, implement, and maintain robust, end-to-end data pipelines for batch and real-time processing using Python, PySpark, Databricks, and Snowflake.\nManage, migrate, and optimize legacy datasets and workloads across enterprise Hadoop ecosystems to modern cloud data platforms.\nOptimize pipeline performance, query execution times, resource allocation, and storage costs across distributed environments.\nPartner with business analysts, data scientists, and functional stakeholders to understand requirements and formulate analytical approaches. Deliver actionable insights that address complex business challenges.\nApply structured root-cause analysis and analytical problem-solving techniques to diagnose data anomalies, pipeline bottlenecks, and complex logic issues.\nCreate automated data validation, reconciliation, and quality monitoring frameworks to ensure high data integrity and compliance.\nActively incorporate next-generation AI Coding Agents and developer assistants, such as Devin, GitHub Copilot, and Cursor, into daily development, code reviews, automated unit testing, and technical documentation workflows.\nDrive engineering productivity by adopting best practices in automated refactoring, rapid prototyping, and AI-augmented debugging.\nStay current with emerging tools, data architecture, and AI-enabled data engineering methodologies.\nFollow disciplined CI/CD release practices, Git-based version control, code quality gates, and automated test coverage.\nEnsure all data pipelines and storage solutions comply with enterprise data governance, data lineage, information security, and regulatory standards.\nAuthor comprehensive technical design documents, data dictionary definitions, and operational runbooks.\nQualifications:\n2+ years of progressive experience in Data Engineering, Big Data Analytics, or a related technical role.\nBachelor's or Master's degree in Computer Science, Data Analytics, Information Technology, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.\nAdvanced proficiency in Python, including Pandas, PySpark, and NumPy. Strong understanding of object-oriented programming, data structures, and modular design.\nStrong hands-on experience developing large-scale distributed data transformations in PySpark and Databricks.\nProven expertise in Snowflake architecture and SnowSQL. Hands-on experience with data loading and unloading using Snowpipe, Tasks, and Streams, as well as clustering and query profiling.\nSolid understanding of the Hadoop ecosystem, including HDFS, Hive, MapReduce, and YARN. Experience migrating and integrating Hadoop workloads with modern cloud architectures.\nExpert-level SQL skills for complex querying, window functions, and dimensional and relational data modeling.\nPractical knowledge and working experience using AI Coding Agents and assistants, such as Devin, GitHub Copilot, and Cursor, to boost engineering velocity and code reliability.\nProven ability to break down complex analytical problems, design scalable technical solutions, and communicate findings clearly to diverse stakeholders.\nFamiliarity with workflow orchestration tools, such as Apache Airflow, Prefect, or Databricks Workflows, is preferred.\nExperience with CI/CD tools, such as Git, Jenkins, Tekton, or Harness, is preferred. Familiarity with containerization basics, such as Docker, is also preferred.\nExposure to financial services, banking domain data, or risk and compliance data platforms is preferred.\nFamiliarity with DataOps, test-driven development, and automated data quality frameworks, such as Great Expectations, is preferred.\nEducation:\nBachelor’s or Master’s degree in Computer Science, Data Analytics, Information Technology, Statistics, Engineering, or a related quantitative field (or equivalent practical experience).\nPreferred / Nice-to-Have Skills:\nFamiliarity with workflow orchestration tools (e.g., Apache Airflow, Prefect, Databricks Workflows).\nExperience with CI/CD tools (Git, Jenkins, Tekton, Harness) and containerization basics (Docker).\nExposure to financial services, banking domain data, or risk/compliance data platforms.\nFamiliarity with DataOps, test-driven development (TDD), and automated data quality frameworks (e.g., Great Expectations).\nThis job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nPrimary Location:\nIrving Texas United States------------------------------------------------------\nPrimary Location Full Time Salary Range:\n$84 580,00 - $118 020,00In 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:\nnov 11, 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":10219,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["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":"2026-11-04T13:20:24Z"}],"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":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.885,"p_room":1,"age_days":1,"expected_fill_days":9,"reasons":["conf:0","velocity","win:early","comp:junior,brand"],"computed_at":"2026-11-06T05:58:05Z"},"pay":{"stated_usd_annual":118020,"is_top_pay":false},"html_url":"https://alion.io/job/citi-data-analytics-engineer","json_url":"https://alion.io/job/citi-data-analytics-engineer.json","meta":{"generated_at":"2026-11-06T12:25:33Z","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":22578,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-07T00:00:00Z"}},"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-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-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-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-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fciti-data-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3745860}},{"tool":"search_jobs","arguments":{"company":"citi.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3745860},"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. 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