Data Engineer

Fieldwire by Hilti

Data Engineer managing data infrastructure and pipelines for analytics and reporting at Fieldwire. Collaborating with internal teams to ensure reliable and scalable data solutions.

Posted 7/15/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining automated data pipelines, with strong proficiency in SQL and Python. Capable of implementing ETL/ELT workflows and ensuring data quality and compliance across various systems.

Highest-signal resume keywords

SQL ProficiencyETL/ELT Pipeline DevelopmentCloud Data Platforms (Snowflake, BigQuery, Redshift, Databricks)Pipeline Orchestration Tools (Airflow, dbt, Fivetran, Airbyte)Data Warehousing Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETLELTData Pipeline DevelopmentData Quality AssuranceData Lake ArchitectureDimensional ModellingAPI IntegrationData Governance

Soft Skills

Problem-SolvingWritten CommunicationIndependent Work

Tools & Technologies

SalesforceXeroRampGreenhouseAirflowDbtFivetranAirbyteSnowflakeBigQuery

Industry Keywords

Data EngineeringData ArchitectureData StandardsData Availability SLAsSaaS Integration

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudERPETLPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

Corporate bonus which can range up to 30%.