{"id":3314806,"url":"https://alion.io/job/texas-state-technical-college-data-analytics-engineer-2","title":"Data & Analytics Engineer","company":{"id":1793234,"name":"Texas State Technical College","domain":"tstc.edu","url":"https://alion.io/company/tstc-edu","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":78,"open_postings":9,"ghost_share":0,"stale_share":0.889,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-31T05:58:55Z"}},"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":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":87000,"max_usd":165000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"CI/CD","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-10-26T00:00:00Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-31T18:15:17Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Are you someone who strives for excellence, values accountability, provides the best service, all while reflecting unwavering integrity? Our talented team members across the state follow the behaviors, beliefs and outcomes of these core values to ensure that our vision is met. If you're ready to join the TSTC family and make great memories please complete our application process.\nJob Description\nThe Data & Analytics Engineer is a hands-on practitioner within the Data & Analytics team responsible for developing data, analytics, business intelligence, and data science solutions that support institutional decision-making and operations. This role works across the analytics lifecycle, including data transformation, analytics-ready data structures, semantic modeling, business intelligence, advanced analytics, predictive modeling, and AI. The position works extensively with Microsoft Fabric and Power BI and provides expertise in data science and advanced analytics when institutional needs require statistical, predictive, or machine-learning solutions. The Data & Analytics Engineer partners with Data Engineering, Data Governance, Institutional Research, Application Engineering, and business stakeholders to transform institutional data into trusted, scalable, and actionable analytical products. The position contributes to shared standards and reusable approaches while continuing to develop expertise across the institution's data and analytics ecosystem.Essential Functions\nThe employee will demonstrate TSTC’s Core Values of Excellence, Accountability, Service, and Integrity with internal and external stakeholders, customers, students, and community members.\nData & Analytics Engineering\nDesigns, develops, and maintains scalable data and analytics solutions using Microsoft Fabric, SQL, Python, and related technologies. Transforms raw and complex source data into well-structured, analytics-ready datasets to support institutional reporting, business intelligence, advanced analytics, and data science initiatives. Develops and maintains analytical data models, data transformations, automated pipelines, notebooks, and reusable data assets while partnering with Data Engineering to manage Silver and Gold architectural layers. Applies robust software and data engineering practices, including version control, testing, technical documentation, code reviews, and deployment management, while troubleshooting and optimizing solutions for peak performance, reliability, and maintainability.\nBusiness Intelligence & Power BI\nDesigns and delivers enterprise Power BI dashboards, reports, semantic models, and analytical tools that drive institutional decision-making. Builds and maintains reusable semantic models, standardized measures, and institutional performance metrics using Power BI, DAX, Power Query, and Microsoft Fabric. Implements best practices for data visualization, dimensional modeling, performance tuning, row-level security, and report lifecycle management. Partners closely with Data Governance and Institutional Research to ensure calculations, metrics, and institutional data definitions are consistently executed across all analytical deliverables while supporting and mentoring team members in utilizing shared analytical assets.\nAdvanced Analytics & Data Science\nServes as a key technical resource for data science, predictive analytics, statistical modeling, and machine learning across the institution. Evaluates complex business problems to determine where advanced statistical or machine-learning methodologies deliver actionable value beyond traditional reporting. Designs, develops, validates, and operationalizes predictive and analytical models supporting critical institutional priorities, including enrollment forecasting, student retention and completion, program alignment, financial optimization, and operational capacity planning. Executes feature engineering, exploratory data analysis, regression, classification, clustering, and time-series forecasting, collaborating with Data Engineering and Application Engineering to integrate model outputs into enterprise platforms and workflows.\nData, AI & Governance\nEvaluates and prototypes emerging capabilities in analytics, machine learning, and generative artificial intelligence to address institutional challenges and enhance operational effectiveness. Ensures all data and analytics solutions adhere strictly to institutional data governance, security, privacy, and data-handling standards. Collaborates with Data Governance to maintain data quality, lineage, metadata dictionaries, data classification, and responsible data usage. Embeds responsible AI and data science principles across all deliverables, ensuring transparency, explainability, reproducibility, and appropriate oversight while maintaining comprehensive documentation of data sources, transformations, calculations, and analytical methodologies.\nCollaboration & Continuous Improvement\nEngages directly with institutional stakeholders to translate complex operational needs into robust data and analytics solutions. Partners across Data Engineering, Data Governance, Institutional Research, Application Engineering, and academic and administrative units to deliver integrated, high-impact data products. Effectively communicates analytical findings, methodology, and technical concepts to both technical and non-technical audiences. Actively participates in technical design reviews, peer code reviews, and standard-setting initiatives while monitoring advancements in Microsoft Fabric, Power BI, and AI technologies to drive continuous improvement across the Data & Analytics ecosystem.\nEducation & Experience\nMinimum Requirements\nBachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Mathematics, Engineering, or a related field. \n3 to 5 years of experience in data analytics, analytics engineering, business intelligence, data science, data engineering, or a related field.\nExperience with Microsoft Power BI or comparable business intelligence and visualization technologies, developing analytical data models and transforming source data into analytics-ready datasets.\nExperience working with data warehouses, lakehouses, data pipelines, or modern cloud-based data platforms with software development practices such as source control, testing, documentation, and code review.\nUnderstanding of data visualization, dimensional modeling, business intelligence concepts, statistical analysis and data science concepts.\nProficiency in Python or a comparable programming language used for data analysis, automation, or data science.\nStrong SQL skills and experience working with complex analytical datasets.\nAbility to translate business requirements and questions into data and analytical solutions.\nPreferred Qualifications\nMaster’s degree in Computer Science, Data Science, Information Systems, Statistics, Mathematics, Engineering, or a related field.\n5+ years of experience in data analytics, analytics engineering, business intelligence, data science, data engineering, or a related field.\nExperience with Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, notebooks, pipelines, or semantic models.\nExperience with Power BI, including semantic modeling, DAX, Power Query, performance optimization, and deployment practices.\nExperience with Azure data and analytics services.\nExperience developing predictive models or machine-learning solutions.\nKnowledge of statistical modeling, forecasting, regression, classification, clustering, and other advanced analytical techniques.\nExperience with machine-learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar technologies.\nUnderstanding of MLOps concepts, including model versioning, deployment, monitoring, and lifecycle management.\nExperience with Microsoft Purview or similar data governance and lineage technologies.\nExperience with CI/CD or DevOps practices for data and analytics solutions.\nExperience working with higher education, student, financial, workforce, or other complex institutional data.\nKnowledge of data privacy, security, and regulatory requirements such as FERPA.\nRelevant experience may be considered in lieu of formal education where appropriate, consistent with TSTC’s equivalency philosophy.\nSkills & Abilities\nAbility to design, develop, and maintain data and analytics solutions using Microsoft Fabric, SQL, Python, and related technologies, applying sound data modeling, software engineering, version control, testing, documentation, and deployment practices.\nAbility to develop Power BI dashboards, semantic models, and analytical products using DAX, Power Query, and Microsoft Fabric.\nAbility to apply data science, statistical modeling, machine learning, and predictive analytics techniques to address institutional challenges, and to learn and apply emerging data, analytics, AI, and cloud technologies as institutional needs evolve.\nAbility to translate complex business requirements into scalable, reliable, and well-documented data and analytics solutions.\nAbility to apply data governance, data quality, privacy, security, and responsible AI practices to ensure trustworthy and compliant analytical solutions.\nAbility to communicate analytical findings and technical concepts clearly to both technical and non-technical audiences.\nAbility to manage multiple assignments and priorities while maintaining accuracy, quality, and attention to detail, and to contribute to shared development practices, standards, code reviews, and continuous improvement efforts.\nAbility to collaborate effectively across Data Engineering, Data Governance, Institutional Research, Application Engineering, and business stakeholder teams.\nStrong analytical, problem-solving, critical-thinking skills, written and verbal communication.\nCore Competencies\nCommunication\nLeads communication efforts for projects, programs, or teams, ensuring clarity, alignment, and transparency. Shares complex technical information effectively with a range of stakeholders, tailoring communication style and content to the audience. Facilitates productive dialogue, actively listens, and synthesizes input to drive informed decisions and shared understanding. Represents the team or function credibly in cross-functional settings and contributes to a communication culture that supports collaboration and trust.\nJob Knowledge & Job Performance\nDemonstrates advanced knowledge and mastery of the technical and functional competencies required for the role. Applies expertise to solve complex problems, lead technical work, and deliver high-quality outcomes. Seeks out opportunities to develop capabilities, solve problems, and drive process improvement. Contributes to continuous learning, innovation, and enhanced service delivery. Applies core job functions and relevant expertise to deliver high-quality work consistently.\nOwnership & Accountability\nTakes full ownership of assigned responsibilities and is accountable for delivering results that meet or exceed expectations. Follows through on commitments, demonstrates resilience, and adapts to shifting priorities while maintaining focus on outcomes. Proactively addresses challenges, identifies improvements, and remains engaged in achieving both individual and team goals. Demonstrates critical thinking and sound judgment when navigating complex situations or setbacks.\nTeamwork & Service\nCollaborates effectively and respectfully with colleagues, welcoming different perspectives and fostering community and partnership. Supports a positive team dynamic, contributes to shared goals, and models a service-oriented mindset. Builds relationships grounded in trust and mutual respect, actively participates in group efforts, and promotes a culture of responsiveness and collaboration that enhances the overall teammate and customer experience.\nPlanning & Execution\nTranslates goals and priorities into actionable plans, managing time, resources, and...","description_format":"text","description_chars":16494,"description_truncated":true,"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":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Vocational Education","Career Services"],"lifecycle":[{"event":"open","at":"2026-10-27T04:45:44Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":5,"expected_fill_days":35,"reasons":["conf:1","win:early"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/texas-state-technical-college-data-analytics-engineer-2","json_url":"https://alion.io/job/texas-state-technical-college-data-analytics-engineer-2.json","meta":{"generated_at":"2026-11-01T05:04:01Z","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":7851,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"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":1793234},"rest":"https://alion.io/mcp/rest/get_company?id=1793234"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ftexas-state-technical-college-data-analytics-engineer-2"},{"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%2Ftexas-state-technical-college-data-analytics-engineer-2"},{"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%2Ftexas-state-technical-college-data-analytics-engineer-2"},{"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/texas-state-technical-college-data-analytics-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ftexas-state-technical-college-data-analytics-engineer-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3314806}},{"tool":"search_jobs","arguments":{"company":"tstc.edu","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3314806},"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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