Data Engineer

Who we’re looking for 

Fieldwire is seeking a skilled Data Engineer to join our growing Data & Operations team. You will be the owner of our data infrastructure and pipelines — the foundational layer that powers all reporting, analytics, and business decision-making across Fieldwire. You will work closely with Data Insights Managers, Finance, Revenue Operations, and Product to ensure our data lake is reliable, scalable, and production-ready. This is a fully remote role based in the United States. 

What you’ll be doing 

The primary responsibilities for this role include: 

• 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 

At Fieldwire, we’re looking for our next Data Engineer to have the following skills and experiences 

Core qualifications and experience: 

• 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&nbs