{"id":4162359,"url":"https://alion.io/job/chevron-surface-dni-data-engineer","title":"Surface DNI - Data Engineer","company":{"id":5944,"name":"Chevron","domain":"chevron.com","url":"https://alion.io/company/chevron","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":13,"ghost_share":0,"stale_share":0.077,"repost_share":0,"time_to_fill_p50_days":18,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","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":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Ansible","optional":true},{"name":"Azure DevOps","optional":true},{"name":"C#","optional":true},{"name":"Git","optional":true},{"name":"Java","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Scala","optional":true}],"status":"live","first_seen_at":"2026-11-12T12:36:11Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T12:36:11Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Total Number of Openings\n1Utilizing software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.The Chevron Engineering and Innovation Excellence Center (ENGINE) in Bengaluru India brings together the resources and expertise of the Chevron global network with talent in India to enhance agility and technological innovation to optimize solutions for the world’s current and future energy challenges. As one of the leading energy providers worldwide, Chevron is involved in the production of crude oil and natural gas, manufacturing of transportation fuels, lubricants, petrochemicals, and additives, and the development of enabling technologies.\nChevron's vision is to be the global energy company most admired for its people, partnerships, and performance. With a clear purpose to develop affordable, reliable, ever-cleaner energy that enables human progress, we believe human ingenuity has the power to solve any challenge and overcome any obstacle. Meeting the world’s growing energy needs requires the pursuit of innovations and advancements that deliver a better future for all.\n Key responsibilities:\nDesign, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).\nUtilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).\nCollaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.\nOptimize data pipelines in the Azure environment for performance, scalability, and reliability.\nEnsure data quality and integrity through data validation techniques and frameworks.\nDevelop and maintain documentation for data processes, configurations, and best practices.\nMonitor and troubleshoot data pipeline issues to ensure timely resolution.\nStay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.\nManage the CI/CD process for deploying and maintaining data solutions.\n Required Qualifications:\nBachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals with 5 -7 years experience\nAt least 2-8 years of proven experience as a Data Engineer or similar role dealing with data and ETL processes.\nStrong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.\nExperience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).\nStrong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).\nExperience with big data technologies (e.g., Spark).\nStrong problem-solving skills and attention to detail.\nExcellent communication and collaboration skills.\nPreferred Qualifications:\nConsulting and managing business needs with strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted.\nExperience building spark applications utilizing PySpark.\nExperience with file formats such as Parquet, Delta, Avro.\nExperience efficiently querying API endpoints as a data source.\nUnderstanding of the Azure environment and related services such as subscriptions, resource groups, etc.\nUnderstanding of Git workflows in software development.\nUsing Azure DevOps pipeline and repositories to deploy and maintain solutions.\nUnderstanding of Ansible and how to use it in Azure DevOps pipelines.\nChevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.\nWhat we can offer you\nEverything we do at Chevron is guided by our values and our commitment to The Chevron Way.\nHave the opportunity to take part in world-leading energy projects, advance your professional development and expand your career within an inclusive and collaborative workplace.\nJoin a workplace where innovation, collaboration and safety are at the core of how we work.\nWork in thoughtfully designed environments that support focus, well-being, and innovation enhanced by digital tools that enable seamless collaboration.\nGrow through structured learning, mentorship, and opportunities to contribute to impactful projects that align with Chevron’s values and business priorities.\nAccess comprehensive benefits that support your health, well-being, and work-life balance.\nEngage with emerging technologies and digital solutions that are shaping the future of energy and enterprise.\nHow to apply\nTo be a part of our success, click APPLY to submit your application.\nChevron regrets that it is unable to sponsor employment Visas or consider individuals on time-limited Visa status for this position.\nPrivacy and Terms and Conditions\nWe respect the privacy of candidates for employment. This Privacy Notice sets forth how we will use the information we obtain when you apply for a position through this career site. If you do not consent to the terms of this Privacy Notice, please do not submit information to us.\nPlease access the Global Application Statements, select the country where you are applying for employment. By applying, you acknowledge that you have read and agree to the country specific statement.\nTerms of Use\n“ENGINE” refers to the Chevron Engineering and Innovation Excellence Center, which operates under Chevron Global Technology and Services Private Limited, an affiliate of Chevron Corporation. References to ENGINE in this document are for convenience only and do not denote a separate legal entity.\nThis job advertisement is intended to provide a general overview of the role and workplace environment. Role details and outcomes may vary based on business needs and individual performance.\nChevron participates in E-Verify in certain locations as required by law.\nChevron participates in E-Verify in certain locations as required by law.","description_format":"text","description_chars":6443,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fossil Fuels","Chemical Manufacturing","Alternative Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-11-12T12:36:11Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":18,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-12T13:12:54Z"},"pay":null,"html_url":"https://alion.io/job/chevron-surface-dni-data-engineer","json_url":"https://alion.io/job/chevron-surface-dni-data-engineer.json","meta":{"generated_at":"2026-11-12T13:12:54Z","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":27423,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"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":5944},"rest":"https://alion.io/mcp/rest/get_company?id=5944"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fchevron-surface-dni-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fchevron-surface-dni-data-engineer"},{"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%2Fchevron-surface-dni-data-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/chevron-surface-dni-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fchevron-surface-dni-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4162359}},{"tool":"search_jobs","arguments":{"company":"chevron.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4162359},"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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