Fieldwire by Hilti
Data Engineer
Vaga remota de Data Engineering com fit claro de localização do candidato.
Publicada19 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Data Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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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