Data Engineer

🕒 July 15

🇺🇸 United States – Remote

💵 $120k - $150k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fieldwire by Hilti

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

📦 Logistics

🏭 Manufacturing

🏗️ Construction

Logistics • Manufacturing • Construction

Fieldwire by Hilti is a comprehensive jobsite management software solution designed for construction teams. It facilitates collaboration among project teams, including foremen and project managers, by providing tools for field management, task assignments, scheduling, and real-time updates. The platform allows for efficient coordination on construction projects by ensuring all team members work from up-to-date drawings and documents, reducing risk with indisputable records of work performed. Fieldwire also integrates easily with other apps and is accessible on multiple devices, catering to general and specialty contractors, owners, architects, and designers. It supports project management needs such as reporting, document management, and scheduling through a user-friendly interface that scales from small to mega projects. As part of Hilti Construction Software, Fieldwire is trusted by some of the largest construction companies worldwide for managing over 2,000,000 jobsites.

📋 Description

• Design, build, and maintain automated data pipelines from Salesforce, Xero, Ramp, and product databases into the central data lake and warehouses • Own end-to-end data architecture, including storage strategy, processing systems, and pipeline orchestration • Implement and maintain ETL/ELT workflows that produce clean, analytics-ready data • Translate reporting requirements into robust technical data solutions with Data Insights Managers and business stakeholders • Build automated validation and quality-check layers into pipelines • Monitor pipeline health, triage failures, and meet data availability SLAs • Enforce data standards, naming conventions, schema consistency, and access controls • Support integration and maintenance of Salesforce, Xero, Ramp, and Greenhouse • Maintain auditability of 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

• 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 such as Snowflake, BigQuery, Redshift, or Databricks • Familiarity with pipeline orchestration tools such as Airflow, dbt, Fivetran, or Airbyte • Strong understanding of data warehousing concepts, dimensional modelling, and data lake architecture • Experience integrating SaaS platforms 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 and ability to document technical decisions clearly for non-technical stakeholders • Experience at a SaaS or technology company • Familiarity with Salesforce data structures and reporting layers • Exposure to BI tools such as Power BI, Looker, or Tableau • 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

• Corporate bonus eligibility of up to 30%