Senior Data Engineer

Fortive

Data Engineer transforming data into actionable insights and supporting strategic planning for a data-driven organization. Collaborating with senior leadership and influencing key business outcomes in Brazil.

Posted 6/29/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data transformation, predictive modeling, and analytics project leadership, with a strong focus on delivering actionable insights and measurable business impact. Proficient in utilizing modern data tools and visualization techniques to communicate findings effectively to senior stakeholders.

Highest-signal resume keywords

SQL Data ExtractionPython Advanced AnalyticsPredictive ModelingPower BI VisualizationData Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationForecasting ModelsData Modeling ConceptsInteractive DashboardsAnalytical Reporting

Soft Skills

Excellent CommunicationCollaboration with Stakeholders

Tools & Technologies

SnowflakeAmazon RedshiftGoogle BigQueryPower BITableau

Industry Keywords

Revenue GrowthOperational EfficiencyStrategic PlanningKey Performance IndicatorsBusiness Review

Tech Stack

Tools & technologies

Amazon RedshiftBigQueryPythonSQLTableau

About the role

Key responsibilities & impact

Transform data into actionable insights that support revenue growth, operational efficiency, and strategic planning.
Identify and contribute to the development of scalable data tools that improve how data is transformed, managed, and accessed—reducing time to insight.
Build predictive and forecasting models to support revenue growth, marketing effectiveness, and improved customer experiences.
Lead analytics and modeling projects that translate organizational data into clear, data-driven recommendations.
Design and maintain interactive dashboards and reports aligned to key performance indicators (KPIs).
Implement modern tools and techniques to analyze, visualize, and communicate data trends effectively.
Partner with business teams to support operational improvements and growth initiatives, defining measurable outcomes.
Prepare both executive-level summaries and detailed analytical reports, including clear written insights and visual storytelling.
Present findings and recommendations to senior leadership, including options and trade-offs.
Collaborate closely with Finance and executive stakeholders to support recurring business review and planning cycles.
Contribute to additional analytics initiatives as business needs evolve.

Requirements

What you’ll need

4–5 years of experience using SQL for data extraction and transformation, and Python for advanced analytics, automation, or modeling.
Hands-on experience with forecasting and predictive modeling to support strategic decision-making.
Experience working with modern data warehouses such as Snowflake, Amazon Redshift, or Google BigQuery.
Strong understanding of data modeling concepts, including star and snowflake schemas, and normalized vs. denormalized designs.
Advanced proficiency with BI and visualization tools such as Power BI or Tableau, including best practices for data storytelling.
Proven ability to lead analytics projects end-to-end—from business requirements through analysis, insights, and executive recommendations.
Experience delivering measurable business impact through analytics, reporting, revenue operations, or related roles.
Excellent communication skills, with the ability to translate complex analyses into clear, actionable insights for senior stakeholders.

Benefits

Comp & perks

Competitive compensation and benefits package (details shared during the interview process)
Flexibility to support work-life balance, in line with company policy