{"id":3127906,"url":"https://alion.io/job/rice-university-data-warehouse-developer","title":"Data Warehouse Developer","company":{"id":180893,"name":"Rice University","domain":"rice.edu","url":"https://alion.io/company/rice-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":{"label":"CT","utc_offset_min":-6,"utc_offset_max":-6},"hiring_geo_confidence":"explicit","locations":["Houston, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":73326,"max":85000,"currency":"USD","period":"year","gross":null,"usd_annual":85000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Perl","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-22T21:52:38Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T08:01:59Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Position Summary:\nThe Data Warehouse Developer is responsible for supporting the data warehouse and analytics ecosystems for Rice University. Under supervision, they will develop and maintain data engineering code and pipelines for loading into the Enterprise Data Warehouse. The work of the Data Warehouse Developer includes data integration, data management, and analytics. Executes all programming tasks, including programming, analyzing, designing, developing, implementing, modifying, and maintaining computer programs.\nSpecial Instructions to Applicants:\nAll interested applicants should attach a resume and cover letter in the Supporting Documents section of the application, preferably in PDF format.\nThis position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without requiring employer sponsorship now or in the future.\nIdeal Candidate Statement:\nThe ideal candidate operates comfortably at the intersection of stakeholder partnership and advanced analytics. You combine strong technical execution with the ability to translate complex institutional needs into rigorous, reproducible analytical solutions using Python, R, and/or SQL. You have substantial experience with best practices in data collection and management, understand the interconnected nature of admissions, student, HR, research, and finance data, and can apply advanced statistical and predictive modeling techniques to deepen and extend existing reporting and analytical practices. As a mentor and technical leader, you will help the team broaden its analytical toolkit-building on a strong foundation of descriptive analysis to incorporate predictive and prescriptive approaches that inform institutional strategy.\nWorkplace Requirements:\nThis position is fully remote, permitting all tasks to be completed from any location within the United States. Working hours will remain at Central Standard Time. Per Rice policy 440, work arrangements may be subject to change.\nHiring Range: $73,326 - $85,000 annually (commensurate with experience)\nThis is an exempt (salaried) position under FLSA and not eligible for overtime.\nMinimum Requirements:\nBachelor’s DegreeIn lieu of the education requirement, additional related experience, above and beyond what is required, may be substituted on an equivalent year-for-year basis.\n\nTwo or more (2+) year of related professional work experience.In lieu of the experience requirement, additional related education above and beyond what is required may be substituted on an equivalent year-for-year basis. \n\nSkills: Familiarity in business intelligence and data warehousing concepts and methodologies.\nExcellent programming, relational database skills, including hands on knowledge of SQL and PL/SQL.\nBeginner proficiency in implementing ETL’s extracting data through XML files, RDBMS, REST APIs, and flat file sources.\nEntry level programming skills such as Python, R, C/C++, Java, Shell, and Perl.\nFamiliarity with cloud data platforms such as Snowflake, AWS, or Azure\nFamiliarity with databases, data acquisition, ETL strategies, tools, and technologies such as Informatica (IICS).\nAbility to work well as a team member under the direction of senior developers.\nHigh proficiency to analyze problems and recommend solutions.\n\nPreferences:\nBachelor’s degree in Computer Science, Information Technology, Business Administration, or a related field.\nExperience with higher education data systems and processes.\nFamiliarity with cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery, Microsoft Azure).\nKnowledge in multiple existing and next generation data engineering and pipeline tools.\nProficient in prototyping systems for collecting, storing, and analyzing data at scale.\nUnderstanding of fundamentals in data modeling and designing data warehouses from heterogeneous sources.\nFamiliarity with implementing systems and processes to monitor data quality.\nKnowledge of Tableau or comparable analytics tools.\nProficient in data mining, visualization, and machine learning skills.\nExcellent organizational and time-management skills.\nEssential Functions:\nImplements complex data table structures, forms, reports, and queries.\nFollow up with other technical staff to identify and define gaps in requirements and processes.\nCollaborates closely with internal and external teams to understand and apply changes/modifications impacting the data warehouse.\nIdentifies inefficiencies in current databases and investigates solutions.\nUncovers database access and performance issues for further analysis.\nParticipates in data migrations between systems, owning parts of the migration plan.\nAdheres to change control and testing processes for modifications to databases.\nDevelops and maintains the data pipelines and code.\nEnsures all database systems meet business and performance requirements.\nProduces ad-hoc queries and develops reports to support business needs.\nCreates and maintains technical documentation.\nDevelops and maintains Data Warehouse.\nMonitors ETL processes, system audits, analytics platform, dashboard reporting, and presentation layer functioning and performance.\nPerforms and provides results in quality control testing.\nParticipates in the release cycle process and ensures timely implementation of bug fixes, change requests, and enhancements.\nPerforms all other duties as assigned.\nAdditional Functions:\nContributes to special projects and emerging priorities as needed to advance departmental and institutional goals. Duties may expand or shift in alignment with strategic initiatives.\nPerforms other duties as assigned to support departmental and institutional priorities.\nRice University HR | Benefits:https://knowledgecafe.rice.edu/benefits\nRice Mission and Values:Mission and Values | Rice University\nRice University is committed to ensuring Equal Employment Opportunity and welcoming the fullness of diversity into our candidate pools. Rice considers qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status. Rice also provides reasonable accommodations to qualified persons with disabilities. If an applicant requires a reasonable accommodation for any part of the application or hiring process, please get in touch with Rice University’s Human Resources Office via email at  for support.\nIf you have any additional questions, please email us at . 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