Job Opportunities API

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   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