Who we're looking forFieldwire 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
- 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
And if you have any of the following, we REALLY want you to apply today! - 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
Compensation: The estimated pay ranges for this role are as follows:
$120,000 - $150,000 The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors such as your skills, qualifications and experience. In addition to the salary you may be eligible for a corporate bonus which can range
up to 30%. Where is the job located? This role is fully remote within the United States. Our headquarters are based in beautiful San Francisco and our office is centrally located right off of Embarcadero Bart station.
