Fieldwire by Hilti
Posted 19 days agoVerified live 23h ago
Data Engineer
Brief overview
Remote
UndergradOr in progress
$120k–$150k/yrStated range
2+ yrsMinimum
16 H-1B approvalsDept. of Labor
6 green cardsCertified filings
SQLPythonETL/ELT PipelinesCloud Data PlatformsData WarehousingDimensional ModelingData Lake ArchitecturePipeline OrchestrationSaaS Platform IntegrationAPI IntegrationData GovernanceData Quality
About the company
Fieldwire by Hiltifieldwire.com
Fieldwire by Hilti is an all-in-one jobsite management software that connects the field to the office, enabling efficient and real-time information sharing from the foremen to the project manager and everyone in between.
Visa sponsorship history
4 years sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.16H-1B approved
100%approval rate
3new H-1B hires
6PERM certified
$153,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20235
20242
20258
20261
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20233
20241
20252
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
20241
20253
20262
Top sponsored roles
Senior Data AnalystAssociate Product ManagerConstruction Marketing Program ManagerSenior Associate of Hilti VentureChief of Staff & Sr. Manager of Revenue Operations
Sponsored employees from
India
Job description
Summary
Fieldwire is a construction technology platform that provides crews with access to plans, tasks, and project updates. The Data Engineer will own the company’s data infrastructure and pipelines, ensuring reliable, scalable, production-ready data for reporting, analytics, and business decision-making. The role will design and maintain data architecture, ETL/ELT workflows, integrations, validation systems, and governance processes.
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
Skills
- 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
- This is a fully remote role based in the United States
- 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
Qualifications
Must Haves
- 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
- This is a fully remote role based in the United States
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
Benefits
- Eligible for a corporate bonus of up to 30%
- Fully remote within the United States
