{"id":864279,"url":"https://alion.io/job/princeton-university-data-engineer","title":"Data Engineer","company":{"id":15250,"name":"Princeton University","domain":"princeton.edu","url":"https://alion.io/company/princeton","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Princeton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":187000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Active Directory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"DataStage","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"DNS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"IAM","optional":false},{"name":"LDAP","optional":false},{"name":"Linux","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TCP/IP","optional":false},{"name":"Unix","optional":false},{"name":"Airflow","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"GCP","optional":true},{"name":"Great Expectations","optional":true},{"name":"Prefect","optional":true}],"status":"live","first_seen_at":"2026-09-13T12:16:55Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-11-05T04:29:11Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"Overview\nThe Princeton DMIA Integration team is looking for aData Engineer to own and evolve our data integration practice. You will be responsible for ingesting data from enterprise source systems into our data warehouse platform - what the CIO office refers to as system-to-data-repository integrations. You will play a key role in our migration to a cloud-native data platform, with candidates expected to bring expertise in modern tooling such as Microsoft Fabric, Snowflake with dbt and Fivetran, or Databricks. The existing data warehouse technologies include IBM DataStage, SQL, Oracle, and Shell-based pipelines running on on-premises Linux infrastructure.\nResponsibilities\nArchitect, Design, Develop:\nDesign, build, and maintain ETL/ELT pipelines to ingest, transform, and load data from source systems into the enterprise data warehouse.\nLead the migration of on-premises data pipelines to the organization’s future cloud-native data platform (one of Fabric, Snowflake + dbt + Fivetran, or Databricks).\nImplement and enforce data quality checks, data lineage tracking, and pipeline observability across all integration workflows.\nEnsure data security and compliance requirements are met, including encryption at rest and in transit, and access controls aligned with IAM policies.\nOptimize pipeline performance, scheduling, and resource utilization across batch and incremental load patterns.\nCollaborate and Coordinate:\nPartner with data analysts, BI developers, and source system owners to understand data requirements and translate them into robust ingestion pipelines.\nProduction Support:\nOperate and support ingestion and transformation pipelines.\nDevelop and maintain data pipeline documentation, data dictionaries, and SLA agreements for ingestion jobs.\nParticipate in on-call production support rotation and respond to integration incidents per SLA.\nContribute to CI/CD pipeline setup and DevOps practices for data integration deployments.\nQualifications\nEssential Qualifications:\nCORE SKILLSLinux / Shell scripting\nPython programming\nSQL (query authoring and data validation)\nBasic networking (DNS, HTTP/S, TCP/IP, proxies, firewalls)\nCloud infrastructure fundamentals (any major provider)\nIAM: LDAP, Active Directory, OAuth 2.0, certificate management\n\n5+ years of proven experience with enterprise ETL/ELT tooling\nAdvanced SQL skills across multiple platforms (Oracle, SQL Server, PostgreSQL)\nStrong Python programming skills for data transformation, scripting, and pipeline automation\nShell scripting proficiency for batch job automation on Linux/Unix servers\nHands-on experience with at least one cloud data platform: Microsoft Fabric, Snowflake (with dbt and/or Fivetran), or Databricks\nExperience with dbt (data build tool) for transformation layer development\nLinux/Unix systems fluency including file management, cron scheduling, and process monitoring\nUnderstanding of data warehousing concepts: dimensional modelling, star/snowflake schemas, slowly changing dimensions\nFamiliarity with basic networking, storage, and cloud infrastructure concepts\nExperience with IAM and access control: LDAP, Active Directory, and database-level permission management\nWorking knowledge of REST APIs for source system data extraction and pipeline orchestration\nAbility to document data flows, pipeline architecture, and transformation logic clearly\nEducation: Bachelor’s degree in computer science\nPreferred Qualifications:\n7+ years proven experience with enterprise ETL/ELT tooling\nFamiliarity with orchestration tools such as Apache Airflow, Azure Data Factory, or Prefect\nExposure to streaming or near-real-time ingestion patterns (Kafka, Kinesis, Event Hubs)\nExperience with data quality frameworks (Great Expectations, Soda, or equivalent)\nCloud platform certifications (Azure, AWS, or GCP data engineering tracks)\nPrinceton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.\nThe University considers factors such as (but not limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and organizational considerations when extending an offer. The posted salary range represents the University's good faith and reasonable estimate for a full-time position; salaries for part-time positions are pro-rated accordingly.\nIf the salary range on the posted position shows an hourly rate, this is the baseline; the actual hourly rate may be higher, depending on the position and factors listed above.\nThe University also offers a comprehensive benefit program to eligible employees. Please see this link for more information.\nStandard Weekly Hours\n36.25Eligible for Overtime\nNoBenefits Eligible\nYesProbationary Period\n180 daysEssential Services Personnel (see policy for detail)\nNoPhysical Capacity Exam Required\nNoValid Driver’s License Required\nNoExperience Level\nMid-Senior LevelSalary Range\n$120,000 to $135,000","description_format":"text","description_chars":5228,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Higher Education"],"lifecycle":[{"event":"open","at":"2026-09-13T12:16:55Z"}],"visa":[],"liveness":{"score":25,"band":"fade","label":"Fading","p_open":1,"p_active":0.725,"p_room":0.35,"age_days":52,"expected_fill_days":23,"reasons":["conf:1","velocity","win:tail"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/princeton-university-data-engineer","json_url":"https://alion.io/job/princeton-university-data-engineer.json","meta":{"generated_at":"2026-11-05T08:08:16Z","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":10284,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"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":15250},"rest":"https://alion.io/mcp/rest/get_company?id=15250"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fprinceton-university-data-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%2Fprinceton-university-data-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%2Fprinceton-university-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/princeton-university-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fprinceton-university-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":864279}},{"tool":"search_jobs","arguments":{"company":"princeton.edu","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":864279},"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"}}