{"id":3989633,"url":"https://alion.io/job/electric-power-engineers-staff-data-engineer-applied-data-science-iii","title":"Staff Data Engineer, Applied Data Science III","company":{"id":9364,"name":"Electric Power Engineers","domain":"epeconsulting.com","url":"https://alion.io/company/electric-power-engineers","size_band":"1001-5000","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":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Austin, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"LightGBM","optional":true},{"name":"pySpark","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-11-09T22:57:26Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:57:26Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Overview\nWe are designing the grid of the future!\nEPE is seeking a Staff Data Engineer, Applied Data Science III with demonstrated experience in the electric utility sector to join our consulting practice to support analytical and applied data science, data engineering and data architecture consulting projects with our utility and energy-sector clients.\nIn this role, you will help EPE’s utility clients translate their utility data and business requirements into well-designed data pipelines, reliable models and integrated analytics and data science workflows. Your work will span data discovery, architecture and integration design, hands-on development, machine learning, and model maintenance.\nThis is a hands-on individual contributor role for a professional with 4-5 years of relevant experience, including experience in the utility sector. You will deliver defined technical components and workstreams, collaborating with senior technical staff and client architects on broader architectural decisions. Depending on the engagement, responsibilities may involve direct implementation or design specifications and advisory support for client-owned implementation.\nResponsibilities\nHow you can make an impact:\nData Engineering for Utility Clients\nExplore, evaluate, and understand utility data sets including advanced metering infrastructure interval (AMI) energy data, SCADA data, GIS data, utility asset data, customer programs data, and billing data. \nDesign, develop, test, and maintain repeatable ETL/ELT pipelines that ingest, transform, reconcile, and deliver data from databases, files, APIs, and other approved sources.\nDevelop reusable Python and SQL components for data cleansing, standardization, aggregation, validation, and feature preparation.\nProfile source data and establish automated checks for completeness, validity, consistency, uniqueness, and freshness.\nDevelop record-matching and entity-resolution logic to reconcile customer, asset, device, program, and operational records.\nInvestigate pipeline failures, data discrepancies, and performance issues; document corrective actions.\nData Architecture and Integration Design for Utility Clients\nTranslate business, analytical, and operational requirements into documented data architecture and integration designs for defined solutions or components.\nDevelop conceptual, logical, and physical data models, entity relationship diagrams, schemas, data dictionaries, and source-to-target mappings.\nDesign data flows connecting source systems, staging and storage layers, analytical datasets, models, and downstream applications.\nEvaluate and document design tradeoffs involving relational databases, warehouses or lakehouses, batch or API integration, performance, scalability, maintainability, and cost.\nIncorporate client requirements for data ownership, access controls, sensitive information, retention, lineage, and auditability into solution designs.\nApplied Data Science for Utility Clients\nIn the context of typical utility data sets (AMI, SCADA, weather, GIS, asset, and customer programs data sets), develop and validate forecasting models, classification schemas, anomaly-detection analysis, clustering approaches, and prioritization models as appropriate to the application.\nAddress overfitting, class imbalance, sampling bias, and time-dependent validation requirements.\nMonitor model performance and support documented recalibration, retraining, and model updates.\nConnect analytical models to reliable data pipelines and reproducible datasets, working with client deployment teams where appropriate.\nCommunicate assumptions, uncertainty, limitations, and the distinction between observed, inferred, and predicted results.\nClient and Technical Delivery\nParticipate in requirements workshops, technical interviews, architecture reviews, and client working sessions.\nPrepare clear technical reports, process maps, design documentation, and analytical presentations.\nDeliver assigned work within agreed scope, schedule, budget, and quality expectations.\nIdentify and escalate data-access constraints, technical dependencies, methodological limitations, and delivery risks.\nContribute to peer reviews, reusable technical methods, and guidance for less-experienced colleagues.\nUse AI-assisted development responsibly, validating outputs and protecting client information.\nQualifications\nBring your passion, here's what’s needed:\nBachelor’s degree in computer science, data science, statistics, mathematics, engineering, or a closely related quantitative discipline.\n4-5 years of relevant professional experience, including within the utility sector, with hands-on work in data engineering and applied data science, with demonstrated contributions to data architecture or integration design.\nExperience building and maintaining repeatable data pipelines or integrations beyond one-time data preparation and exploratory notebooks.\nExperience designing data models, schemas, relationships, and source-to-target mappings, and explaining the rationale behind design decisions.\nStrong Python and SQL proficiency, including maintainable programming, complex queries, data transformation, and troubleshooting.\nExperience with pipeline testing, scheduling or orchestration, logging, data-quality validation, and failure investigation.\nWorking experience with at least one cloud or distributed-data platform, such as Databricks, Azure, AWS, Google Cloud, or an equivalent environment.\nStrong understanding of probability, sampling, statistical inference, regression, confidence and prediction intervals, and uncertainty.\nPractical experience developing and evaluating statistical or machine learning models, including appropriate validation and interpretation of results.\nExperience with Git, code review, testing, technical documentation, and reproducible analyses.\nAbility to communicate technical designs, analytical findings, assumptions, and limitations to technical and nontechnical audiences.\nPreferred Qualifications\nExperience with Databricks, Spark/PySpark, or comparable distributed-data technologies.\nExperience with dimensional modeling, warehouse/lakehouse design, metadata management, or data catalogs.\nExperience with workflow orchestration, CI/CD, model versioning, experiment tracking, or model monitoring.\nExperience with time-series or probabilistic forecasting, Bayesian methods, simulation, or optimization.\nFamiliarity with XGBoost, LightGBM, PyMC, PyTorch, or TensorFlow, without an expectation of expertise in every framework.\nExperience with utility datasets, DER registries, load forecasting, sensor analytics, or engineering automation.\nMaster’s degree in a relevant quantitative or technical discipline.\nBe a part of an innovative team shaping the grid of the future through advanced energy intelligence. For more than half a century, Electric Power Engineers (EPE) has partnered with power and energy clients across the globe, providing consulting expertise and energy intelligence software solutions for complex engineering and grid modeling challenges. As leaders in the renewables space, we are focused on building a modern, secure, and resilient grid. Join us in making an impact on the communities we serve and the environment in which we live. Together we can transform the future of energy.\nHow we support you:\nComprehensive health and wellness benefits including medical, dental, and vision with 100% premium coverage for you\nGenerous PTO and paid holidays\nMyShare Employee Ownership Program\nWork with industry leaders\n401K, up to a 4% match (100% vested from day 1)\nLocation: This position remote within the U.S.\nTravel: Occasional travel may be needed (10% or less)\n\nEPE is an equal opportunity/AA/Disability/Veteran employer. The EEO is the Law poster, and its supplement are available using the following links: EEOC is the Law Poster\n\nThird-Party Recruiting Notification\nEPE does not accept unsolicited resumes from third-party recruiters. Any unsolicited third-party resumes forwarded by recruiters to EPE via our career page or to any of our managers or employees will be considered public information, may be treated as a direct application from the person identified in the resume, and will not be eligible for placement fee payment to the agency. EPE will not pay a fee to a third-party recruiter or agency without a previously signed third-party agreement and has not coordinated their recruiting activity with the appropriate member of the Talent Acquisition team.","description_format":"text","description_chars":8489,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Power Grid","Smart Grid","Engineering Services"],"lifecycle":[{"event":"open","at":"2026-11-09T22:57:26Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 9 · green card filings: 4","filings_12m":9,"filings_prev_12m":12,"green_card_filings_12m":4,"median_offered_wage_usd":133269,"route":null,"cap_exempt":false,"checked_at":"2026-11-09T07:32:21+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":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:3","win:early"],"computed_at":"2026-11-10T02:01:30Z"},"pay":null,"html_url":"https://alion.io/job/electric-power-engineers-staff-data-engineer-applied-data-science-iii","json_url":"https://alion.io/job/electric-power-engineers-staff-data-engineer-applied-data-science-iii.json","meta":{"generated_at":"2026-11-10T02:01:30Z","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":4739,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"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":9364},"rest":"https://alion.io/mcp/rest/get_company?id=9364"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Felectric-power-engineers-staff-data-engineer-applied-data-science-iii"},{"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%2Felectric-power-engineers-staff-data-engineer-applied-data-science-iii"},{"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%2Felectric-power-engineers-staff-data-engineer-applied-data-science-iii"},{"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/electric-power-engineers-staff-data-engineer-applied-data-science-iii\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Felectric-power-engineers-staff-data-engineer-applied-data-science-iii"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3989633}},{"tool":"search_jobs","arguments":{"company":"epeconsulting.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3989633},"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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