{"id":3661063,"url":"https://alion.io/job/howard-university-senior-data-engineer","title":"Senior Data Engineer","company":{"id":14898,"name":"Howard University","domain":"howard.edu","url":"https://alion.io/company/the-dig-at-howard-university","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":72,"open_postings":31,"ghost_share":0,"stale_share":0.903,"repost_share":0.032,"time_to_fill_p50_days":63,"computed_at":"2026-11-05T05:54:30Z"}},"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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T03:24:50Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff “for fit” makes significant contributions to Howard University’s overall mission.\nAt Howard University, we prioritize well-being and professional growth.\nHere iswhat we offer:\nHealth & Wellness: Comprehensive medical, dental, and vision insurance, plus mental health support\nWork-Life Balance: PTO, paid holidays, flexible work arrangements\n Financial Wellness: Competitive salary, 403(b) with company match\nProfessional Development: Ongoing training, tuition reimbursement, and career advancement paths\nAdditional Perks: Wellness programs, commuter benefits, and a vibrant company culture\nJoin Howard University and thrive with us!\nhttps://hr.howard.edu/benefits-wellness\nWe are hiring a Senior Data Engineer for Howard University's new data team.\nThe Senior Data Engineer is responsible for designing, developing, and maintaining scalable data infrastructure that supports institutional analytics, reporting, data science, and strategic decision-making. This position works across academic and administrative data domains, including admissions, enrollment, student success, financial aid, finance, human resources, and other institutional systems, to integrate data into a secure, governed, and reliable enterprise data environment. The Senior Data Engineer will report to the Chief Data and Analytics Officer, partner with Cloud Engineer, Data Governance Manager, and technology teams to build production-ready data pipelines, establish data standards, improve data quality, and ensure institutional data is accessible, traceable, and trusted.\nNATURE AND SCOPE:\nThe Senior Data Engineer designs, develops, and maintains scalable, secure, and reliable data infrastructure supporting institutional analytics, reporting, data science, and strategic decision-making across Howard University. The position integrates data from academic and administrative systems, develops enterprise data pipelines and models, and implements data quality, governance, security, and documentation standards. Reporting to the Chief Data and Analytics Officer, the Senior Data Engineer collaborates with technical and functional stakeholders to deliver trusted, analytics-ready data and provides technical guidance on data engineering best practices.\nPRINCIPAL ACCOUNTABILITIES:\nDesign, develop, test, and maintain scalable ETL/ELT pipelines integrating data from the student information systems, admissions platforms, financial aid systems, ERP systems, APIs, databases, flat files, and other institutional sources.\nDevelop and maintain enterprise data models, data structures, transformation logic, and standardized datasets supporting institutional reporting and advanced analytics.\nBuild automated data pipelines using Python, R, SQL, and PySpark for ingestion, transformation, validation, and delivery of large and complex datasets.\nDesign and support cloud-based data lakehouse architectures and organize data across raw, curated, and analytics-ready layers.\nEstablish and maintain data lineage, metadata, business rules, data dictionaries, and source-to-target mappings to improve transparency and data governance.\nDevelop automated data-quality controls to identify missing, inconsistent, duplicate, or anomalous records and support issue resolution with data owners and stewards.\nOptimize data pipelines, SQL queries, storage structures, and distributed processing workloads for performance, scalability, reliability, and cost efficiency.\nSupport institutional data governance by implementing standards for data ownership, access, security, documentation, retention, and quality.\nDevelop reusable data assets and standardized datasets for dashboards, institutional research, enrollment forecasting, financial modeling, predictive analytics, and executive reporting.\nCollaborate with functional offices to translate business requirements and institutional definitions into reliable technical solutions.\nImplement pipeline monitoring, logging, error handling, testing, version control, and documentation to support production-grade data operations.\nProtect sensitive institutional information and support compliance with FERPA, institutional security policies, and applicable data privacy requirements.\nProvide technical guidance and mentorship to analysts, data engineers, and other team members on data engineering standards and best practices.\nCORE COMPETENCIES:\nAdvanced proficiency in SQL, Python, and/or R, with experience using PySpark or comparable distributed data-processing technologies.\nStrong knowledge of data modeling, data structures, relational databases, and ETL/ELT pipeline development.\nFamiliarity with modern cloud-based data platforms, data lakes, data warehouses, and lakehouse architectures.\nKnowledge of data governance, data lineage, metadata management, data quality, and role-based data access.\nExperience integrating data across APIs, databases, enterprise systems, and structured/semi-structured data sources.\nFamiliarity with version control, automated testing, CI/CD, and production deployment practices.\nExperience working with higher education data and enterprise systems, including student, enrollment, admissions, financial aid, finance, or HR data.\nAbility to develop reliable, analytics-ready datasets supporting institutional reporting, forecasting, advanced analytics, and machine learning.\nStrong analytical and problem-solving skills with the ability to independently manage complex data engineering projects.\nExcellent written and verbal communication skills and the ability to collaborate effectively with technical and non-technical stakeholders.\nMINIMUM REQUIREMENTS:\nBachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, Engineering, Quantitative Methods, or a related field, with at least five (5) years of relevant higher education data experience; or\nMaster’s degree in Data Science, Educational Psychology with a Statistics/Quantitative Methods concentration, Quantitative Measurement, Statistics, Computer Science, Information Systems, or a related quantitative field, with at least three (3) year of relevant higher education data experience is preferred.\nCompliance Salary Range Disclosure\nCompensation Range: $120,000 - $140,000","description_format":"text","description_chars":6366,"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":["Flexible schedule","Professional development","Vision insurance","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Higher Education"],"lifecycle":[{"event":"open","at":"2026-11-03T03:49:27Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 12 · green card filings: 1","filings_12m":12,"filings_prev_12m":24,"green_card_filings_12m":1,"median_offered_wage_usd":69423,"route":null,"cap_exempt":true,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":63,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":null,"html_url":"https://alion.io/job/howard-university-senior-data-engineer","json_url":"https://alion.io/job/howard-university-senior-data-engineer.json","meta":{"generated_at":"2026-11-05T11:39:51Z","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":14922,"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":14898},"rest":"https://alion.io/mcp/rest/get_company?id=14898"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fhoward-university-senior-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%2Fhoward-university-senior-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%2Fhoward-university-senior-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/howard-university-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fhoward-university-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3661063}},{"tool":"search_jobs","arguments":{"company":"howard.edu","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3661063},"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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