Data Engineer

About the role

The Data Engineer will own the data infrastructure and pipelines at Fieldwire, ensuring they are reliable, scalable, and production-ready. They will work closely with various teams to implement robust data solutions and enforce data standards.

Responsibilities

• Design, build, and maintain automated data pipelines moving data from source systems (Salesforce, Xero, Ramp, product databases) into the 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 technical data solutions.
• Build automated validation and quality-check layers into every pipeline to prevent bad data from reaching reporting layers.
• Maintain 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.

Requirements

• 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.
• Able to work independently in a fully remote, fast-moving environment.
• Strong written communication skills — able to document technical decisions clearly for non-technical stakeholders.

Qualifications

• 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.
• Prior experience supporting a GTM or Finance data stack.

Benefits

Fieldwire offers competitive compensation with an estimated pay range of $120,000 - $150,000 per year in the US. Additional benefits include a corporate bonus which can range up to 30% and opportunities for professional growth within a supportive and innovative team.

Pay

The estimated pay ranges for this role are as follows: $120,000 - $150,000

Schedule

This role is fully remote within the United States.

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.