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About the role
At Fieldwire, we’re looking for our next Data Engineer to have the following skills and experiences
What they're looking for
- 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
More about this role
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
- 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
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