Data Engineer

Fieldwire

12d•$120,000 - $150,000•Remote

About The Position

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.

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
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

Nice To Haves

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

Responsibilities

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