Data Engineer
Role details
Job location
Tech stack
Job description
- 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
Requirements
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., * 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
Benefits & conditions
Posted Yesterday Remote Hiring Remotely in United States 120K-150K Annually Mid level Remote Hiring Remotely in United States 120K-150K Annually Mid level Own and maintain the company s data infrastructure and pipelines. Design, build, and monitor ETL/ELT workflows and data architecture; integrate SaaS sources; enforce data quality, standards, and governance; partner with stakeholders to deliver analytics-ready data and meet data availability SLAs. The summary above was generated by AI, The estimated pay ranges for this role are as follows: $120,000 - $150,000