Apptegy
201 - 500 employees
Founded 2013
đ Education
âď¸ SaaS
đ° $13.2M Venture Round - Apptegy on 2019-03
Education ⢠SaaS
Apptegy is an all-in-one communications platform for Kâ12 school districts that centralizes and streamlines district and school communications. The platform provides a content management system and drag-and-drop website builder, district-branded mobile apps, mass notifications and alerts, secure two-way messaging, automated translation, newsletters and social publishing, ADA compliance tools, and hands-on client support and training. Apptegy emphasizes brand consistency, community engagement, and thought leadership (SchoolCEO content) to help districts build trust and connect with families; the company states over 5,273 districts use its platform.
Staff Data Engineer
Job not on LinkedIn
đĽ 0 minutes ago
đ Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Apptegy
201 - 500 employees
Founded 2013
đ Education
âď¸ SaaS
đ° $13.2M Venture Round - Apptegy on 2019-03
Education ⢠SaaS
Apptegy is an all-in-one communications platform for Kâ12 school districts that centralizes and streamlines district and school communications. The platform provides a content management system and drag-and-drop website builder, district-branded mobile apps, mass notifications and alerts, secure two-way messaging, automated translation, newsletters and social publishing, ADA compliance tools, and hands-on client support and training. Apptegy emphasizes brand consistency, community engagement, and thought leadership (SchoolCEO content) to help districts build trust and connect with families; the company states over 5,273 districts use its platform.
đ Description
⢠Design, build, and own high-impact data pipelines and platform primitives across ingestion, storage, transformation, and consumption, with Snowflake as the core platform ⢠Build and evolve the medallion architecture across Bronze, Silver, Gold, and Semantic layers ⢠Ship semantic models for key business entities, metrics, and KPIs in Snowflake and expose them to BI tools ⢠Lead engineering execution across Fivetran ingestion, Coalesce and related transformation tooling, and Tableau BI delivery ⢠Resolve Snowflake performance, scalability, and cost issues through query optimization, clustering, warehouse sizing, and storage management ⢠Build AI-ready platform capabilities supporting LLM, RAG, and AI agent use cases ⢠Implement and enforce data governance, including naming conventions, data contracts, PII handling, access controls, lineage, and documentation ⢠Build data observability practices covering freshness monitoring, anomaly detection, pipeline reliability, SLA tracking, and incident response ⢠Partner with security and stakeholders on compliance, risk, and regulatory requirements ⢠Maintain technical documentation, data flow diagrams, decision records, and data dictionaries ⢠Drive design reviews, resolve technical ambiguity, and set engineering standards ⢠Evaluate tools and platforms and lead build-versus-buy decisions ⢠Partner with the VP of Data & Analytics on roadmap execution, prioritization, and platform partnerships ⢠Mentor Data Engineers and Analytics Engineers through pairing, code review, and hands-on support ⢠Communicate technical direction to engineering leaders, business stakeholders, and executive partners ⢠Collaborate cross-functionally to turn data requirements into scalable pipelines and data products ⢠Define data contracts and durable product data integration patterns with engineering ⢠Work with BI and analytics consumers to enable self-service and consistency ⢠Collaborate with Data Scientists and AI/ML Engineers to deliver contextualized, AI-ready data
đŻ Requirements
⢠8+ years of experience in data engineering, analytics engineering, or platform engineering, with production data infrastructure experience at Staff or Principal level ⢠Expert-level Snowflake proficiency, including schema design, performance tuning, virtual warehouse management, RBAC, data sharing, and cost governance ⢠Deep hands-on experience with modern data transformation practices and production Coalesce or equivalent dbt experience ⢠Strong data modeling fundamentals, including dimensional modeling, normalization, entity-relationship design, and semantic layer concepts ⢠Demonstrated experience building and operating medallion or layered architecture at scale across multiple business domains ⢠Production experience with data governance, including access controls, PII classification, lineage, documentation, and data contracts ⢠Experience building or operating data observability practices, including freshness monitoring, anomaly detection, SLA definition, and incident response ⢠Expert-level SQL across analytical workloads, including complex query review and optimization ⢠Excellent written and verbal communication, including technical designs, decision records, and presentations to non-technical leadership ⢠Working understanding of enterprise AI application patterns, including RAG pipelines, vector search, and agent frameworks ⢠Familiarity with AI/ML workflows, semantic context, retrieval patterns, and governed access to reliable enterprise data ⢠Standout: inbound and outbound connectors; Tableau BI consumption; SaaS business experience; Snowflake Cortex or related AI features; unstructured data and embedding-based retrieval; tooling evaluations or vendor selection
đď¸ Benefits
⢠Comprehensive medical, dental, vision, and life insurance coverage ⢠Retirement 401(k) with employer match ⢠Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs) ⢠Mental Health Reimbursement ⢠Unlimited paid time off, including seasonal (December) company-wide time off ⢠Paid parental and medical leave ⢠Private medical insurance for you and your dependents ⢠Life insurance ⢠15 days Aguinaldo ⢠Vales de Despensa ⢠Fondo de Ahorro ⢠Caja de Ahorro ⢠Flexible paid time off policy ⢠Paid travel to/from Little Rock, Arkansas for onboarding
Apply Now
