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about 1 month ago
Requirements and responsibilities
About NuView AnalyticsAt NuView Analytics, we help companies accelerate the time to insights from their data. We do this in three ways: data analytics, data diligence, and fractional data science. Our clients are growth-stage companies looking to drive additional value from the data they are sitting on. Through our values of humility, intellectual rigor, and stewardship, we help companies gain a new perspective on their business through their data.The RoleWe're looking for a Data Engineer to join our growing team and help clients build scalable, reliable data infrastructure. This role is remote but candidate must reside in the United States. Initial onboarding will be onsite. You'll work across the modern data stack, designing pipelines, architecting warehouses, and enabling the analytical layer that our clients depend on. This is a high-impact, client-facing role that combines deep technical execution with strategic thinking.ResponsibilitiesDesign, build, and maintain scalable data pipelines for clients across industriesArchitect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platformsLead data integration projects from source system to analytical layer, including scoping, delivery, and handoffWork fluidly across a range of modern data tools and platforms as client engagements demand, picking up new technologies quickly and applying best practices regardless of the toolsetCollaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeledChampion data quality, testing, and observability best practices across client engagementsProduce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-termDocument engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team membersResearch and evaluate new technologies and advocate for tooling investments that benefit the firmTrain and mentor junior team members on engineering standards, pipeline design, and best practicesParticipate in client-facing communication, including requirements gathering and progress updatesFlex support when capacity allows: contribute to analyst-side deliverables such as Power BI dashboard development, ad-hoc reporting, or data visualization. We're a lean team and value versatilityProjects IncludeETL/ELT pipeline development and optimizationData warehouse modeling (dimensional, medallion/lakehouse architectures)Data integration across client systems such as CRM, ERP, marketing, and operational systemsInfrastructure setup across the modern data stack (ingestion, transformation, orchestration)Implementations across platforms such as Microsoft Fabric, Databricks, and Snowflake, meeting clients where they areData modeling and deployment across medallion architecture layers (bronze, silver, gold)Data quality frameworks and automated pipeline testingCloud infrastructure provisioning and cost optimization (Azure, AWS, GCP)Technical documentation projects including data dictionaries, ER diagrams, lineage documentation, and metrics catalogsPower BI semantic model development and dashboard support when business needs require itQualificationsBachelor's Degree in Computer Science, Engineering, Mathematics, or a related field2–5 years of relevant data engineering or software engineering experienceSQL Expert: complex query authoring, query optimization, stored proceduresPython Required: pipeline scripting, automation, data processingTransformation Tools: dbt required; Spark experience a plusIngestion Tools: Fivetran, Airbyte, Rivery, Microsoft Fabric Data Factory, or similarOrchestration: Airflow, Prefect, Azure Data Factory, Microsoft Fabric, or equivalentCloud Platforms: Azure (preferred), AWS, or GCP experienceData Warehouses: Snowflake, BigQuery, Redshift, Microsoft Fabric, Azure Synapse, or equivalentVersion Control: Git required; branching strategies, pull requests, and code review workflowsStrong communication skills with the ability to translate technical concepts for non-technical stakeholdersSelf-starter who thrives in a remote environment and can manage multiple client workstreamsPlayer-coach mindset: capable of leading projects while growing junior teammatesFor certain client projects, there may be a need to be in person or for limited travel to client offices.Intellectually curious about evolving data tooling, architecture patterns, and AI-augmented engineeringNuView Analytics is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.
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