NuView Analytics is seeking a Data Engineer to join their remote team and help clients build scalable, reliable data infrastructure. This high-impact, client-facing role involves designing data pipelines, architecting cloud data warehouses, and enabling analytical layers across a variety of modern data platforms.
What You'll Do
- Design, build, and maintain scalable data pipelines for clients across industries
- Architect and optimize cloud data warehouse solutions, adapting to each client's stack, which may include Snowflake, BigQuery, Redshift, Microsoft Fabric, or similar platforms
- Lead data integration projects from source system to analytical layer, including scoping, delivery, and handoff
- Work 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 toolset
- Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled
- Champion data quality, testing, and observability best practices across client engagements
- Produce and maintain clear technical documentation including pipeline architecture, data dictionaries, lineage maps, and runbooks so clients can understand and own their infrastructure long-term
- Document engineering decisions, standards, and workflows in a way that supports knowledge transfer to both clients and junior team members
- Research and evaluate new technologies and advocate for tooling investments that benefit the firm
- Train and mentor junior team members on engineering standards, pipeline design, and best practices
- Participate in client-facing communication, including requirements gathering and progress updates
- Flex 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 versatility
What We're Looking For
- Bachelor's Degree in Computer Science, Engineering, Mathematics, or a related field
- 2–5 years of relevant data engineering or software engineering experience
- SQL Expert: complex query authoring, query optimization, stored procedures
- Python Required: pipeline scripting, automation, data processing
- Transformation Tools: dbt required
- Ingestion Tools: Fivetran, Airbyte, Rivery, Microsoft Fabric Data Factory, or similar
- Orchestration: Airflow, Prefect, Azure Data Factory, Microsoft Fabric, or equivalent
- Cloud Platforms: Azure (preferred), AWS, or GCP experience
- Data Warehouses: Snowflake, BigQuery, Redshift, Microsoft Fabric, Azure Synapse, or equivalent
- Version Control: Git required; branching strategies, pull requests, and code review workflows
- Strong communication skills with the ability to translate technical concepts for non-technical stakeholders
- Self-starter who thrives in a remote environment and can manage multiple client workstreams
- Player-coach mindset: capable of leading projects while growing junior teammates
Nice to Have
- Spark experience a plus
- Intellectually curious about evolving data tooling, architecture patterns, and AI-augmented engineering
Technical Stack
- Snowflake
- BigQuery
- Redshift
- Microsoft Fabric
- Databricks
- dbt
- Spark
- Fivetran
- Airbyte
- Rivery
- Microsoft Fabric Data Factory
- Airflow
- Prefect
- Azure Data Factory
- Azure
- AWS
- GCP
- Git
- Power BI
Team & Environment
- Part of a growing team
- Work within a lean team structure
Benefits & Compensation
- For certain client projects, there may be a need to be in person or for limited travel to client offices
Work Mode
- Remote position
- Open to candidates in the United States
NuView Analytics is an equal opportunity employer. We celebrate diverse perspectives and are committed to building an inclusive team.
