Fieldwire by Hilti
Data Engineer
Rol remoto de Data Engineering con fit claro de ubicación del candidato.
Publicado19 jul 2026
Países elegibles1 país aceptado
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Data Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
What you’ll be doing
- Design, build, and maintain automated data pipelines that move data from source systems (Salesforce, Xero, Ramp, product databases) into our central data lake and warehouses
- Own the end-to-end data architecture, including storage strategy, processing systems, and pipeline orchestration
- Implement and maintain ETL/ELT workflows that extract, transform, and load data into clean, analytics-ready formats
- Partner with Data Insights Managers and business stakeholders to translate reporting requirements into robust technical data solutions
- Build automated validation and quality-check layers into every pipeline to prevent bad data from reaching reporting layers
- Monitor pipeline health in real time; triage and resolve failures quickly to meet data availability SLAs
- Enforce data standards, naming conventions, schema consistency, and access controls across all systems
- Support integration and maintenance of key tools including Salesforce, Xero, Ramp and Greenhouse into the data lake
- Maintain auditability of all data flows and support compliance and governance requirements
- Collaborate with the DIM TL and Director of Operations on the data roadmap and architectural decisions
What you’ll be doing
- 2-3+ years of experience in a Data Engineering or equivalent role
- Strong proficiency in SQL and at least one scripting language (Python preferred)
- Hands-on experience building and maintaining ETL/ELT pipelines at scale
- Experience with cloud data platforms (e.g. Snowflake, BigQuery, Redshift, Databricks)
- Familiarity with pipeline orchestration tools (e.g. Airflow, dbt, Fivetran, Airbyte)
- Strong understanding of data warehousing concepts, dimensional modelling, and data lake architecture
- Experience integrating SaaS platforms (CRM, ERP, finance systems) via APIs and connectors
- Excellent problem-solving skills with a rigorous approach to data quality and reliability
- Ability to work independently in a fully remote, fast-moving environment
- Strong written communication skills — able to document technical decisions clearly for non-technical stakeholders
What you’ll be doing
- Experience at a SaaS or technology company
- Familiarity with Salesforce data structures and reporting layers
- Exposure to BI tools (Power BI, Looker, Tableau) and understanding of how downstream consumers use data
- Experience with real-time or streaming data pipelines
- Knowledge of data governance frameworks and access control models
- Prior experience supporting a GTM or Finance data stack
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