Data Engineer
Core
Own the end-to-end data architecture, pipelines, and infrastructure to power reporting, analytics, and business decision-making for Fieldwire.
Role type
Data Engineer (Infrastructure & Pipelines)
Builds
Automated data pipelines, data lake, and data warehouses
Domain
SaaS / Construction Technology
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, ETL/ELT pipeline design, cloud data platforms, pipeline orchestration, data warehousing, SaaS API integration, data quality validation
Preferred skills
Salesforce data structures, BI tools, real-time streaming data, data governance frameworks, GTM/Finance data stack experience
Technologies
Snowflake, BigQuery, Redshift, Databricks, Airflow, dbt, Fivetran, Airbyte, Salesforce, Xero, Ramp, Greenhouse
Responsibilities
Design and maintain automated data pipelines from source systems to central data lake; own storage strategy and pipeline orchestration; implement ETL/ELT workflows; partner with stakeholders to translate reporting requirements; build automated validation and quality-check layers; monitor pipeline health and resolve failures; enforce data standards and access controls; support integration of key SaaS tools; maintain auditability of data flows.
Seniority
Mid-level, hands-on IC
