{"id":1684441,"url":"https://alion.io/job/jones-lang-lasalle-data-engineer-2-7","title":"Data Engineer 2","company":{"id":616,"name":"Jones Lang LaSalle","domain":"jll.com","url":"https://alion.io/company/jones-lang-lasalle","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":457,"ghost_share":0.004,"stale_share":0.079,"repost_share":0.039,"time_to_fill_p50_days":7,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":75000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":935},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-23T07:39:38Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"JLL empowers you to shape a brighter way.\nOur people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward.\nAbout JLL Technologies (JLLT):\nJLL Technologies is a specialized group within JLL that delivers unparalleled digital advisory, implementation, and services solutions to organizations globally\nWe provide best-in-class technologies to bring digital ambitions to life by aligning technology, people, and processes\nOur goal is to leverage technology to increase the value and liquidity of the world's buildings while enhancing the productivity and happiness of those who occupy them\nWhat the Job Involves:\nWe are seeking a Data Engineer P2 who is a self-starter to work in a diverse and fast-paced environment as part of our Enterprise Data team\nThis individual contributor role is responsible for designing and developing data solutions that are strategic to the business and built on the latest technologies and patterns\nThis is a global role that requires partnering with the broader JLLT team at the country, regional, and global levels by utilizing in-depth knowledge of data, infrastructure, technologies, and data engineering experience\nResponsibilities:\nDesign, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark\nCollaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture\nDesign and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms\nTroubleshoot and resolve issues related to data processing, data quality, and data pipeline performance\nStay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark\nCollaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs\nDocument data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers\nCreate complex automated tests and integrate them into testing frameworks\nRequirements:\nEducation & Experience:\nBachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)\nMinimum 3-5 years of experience in data engineering or full-stack development, with a focus on cloud-based environments\nTechnical Skills:\nStrong expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects\nStrong Databricks experience\nStrong database/backend testing with the ability to write complex SQL queries for data validation and integrity\nStrong streaming and real-time API/service validation including automation\nExperience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing\nExperience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)\nProficiency in object-oriented programming and software design patterns\nExperience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting\nExperience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines\nStrong experience in designing and implementing data pipelines, ETL processes, and workflow automation\nFamiliarity with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., AWS Redshift, Google BigQuery, Snowflake)\nFamiliarity with cutting-edge AI technologies and demonstrated ability to rapidly learn and adapt to emerging concepts and frameworks\nCore Competencies:\nStrong problem-solving skills and ability to analyze complex data processing issues\nExcellent communication and interpersonal skills to collaborate effectively with cross-functional teams\nAttention to detail and commitment to delivering high-quality, reliable data solutions\nAbility to adapt to evolving technologies and work effectively in a fast-paced, dynamic environment\nLocation:\nOn-site -Jalisco,MEXIf this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table!\nAt JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing.\nJLL Privacy Notice\nJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.\nFor more information about how JLL processes your personal data, please view our Candidate Privacy Statement.\nFor additional details please see our career site pages for each country.\nJones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.\nJones Lang LaSalle (\"JLL\") está comprometida a trabajar con personas con discapacidades y proporcionarles accesibilidad. Si necesita un ajuste razonable para cualquier parte del proceso de empleo - incluyendo la candidatura en línea y/o el proceso general de selección - puede enviarnos un correo electrónico . Este correo electrónico es solo para solicitar un ajuste razonable. Por favor, dirija cualquier otra consulta general de reclutamiento a nuestra página Contáctanos > Quiero trabajar para JLL.","description_format":"text","description_chars":7159,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Real Estate","Real Estate Brokerage","Real Estate Appraisal","Facilities Management"],"lifecycle":[{"event":"open","at":"2026-10-02T10:02:18Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.517,"p_room":0.35,"age_days":24,"expected_fill_days":7,"reasons":["conf:0","velocity","win:tail","comp:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":null,"html_url":"https://alion.io/job/jones-lang-lasalle-data-engineer-2-7","json_url":"https://alion.io/job/jones-lang-lasalle-data-engineer-2-7.json","meta":{"generated_at":"2026-10-23T08:19:01Z","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":13248,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":616},"rest":"https://alion.io/mcp/rest/get_company?id=616"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjones-lang-lasalle-data-engineer-2-7"},{"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%2Fjones-lang-lasalle-data-engineer-2-7"},{"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%2Fjones-lang-lasalle-data-engineer-2-7"},{"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/jones-lang-lasalle-data-engineer-2-7\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjones-lang-lasalle-data-engineer-2-7"}]}