This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in the Americas.

As a Senior Data Engineer, you will play a critical role in building and maintaining a robust data platform that empowers analytics, business intelligence, and data science teams. You will design and optimize data models, ETL pipelines, and semantic layers, ensuring high-quality, reliable, and scalable data flows. This role offers a hands-on environment with opportunities to collaborate across product, engineering, and operations teams. You will drive continuous improvements in performance, governance, and AI-readiness of the data stack. The ideal candidate thrives on problem-solving, values pragmatism, and is eager to innovate in a fast-paced, data-driven environment. Your contributions will directly enable self-service analytics and inform strategic business decisions across the organization.

Accountabilities:

Build, maintain, and evolve the semantic layer, creating well-documented dbt models to support trusted business metrics and self-service analytics.
Develop and manage ETL/orchestration pipelines using tools like Fivetran, Stitch, dbt Cloud, or Airflow to ensure reliable and scalable data flow.
Collaborate closely with data analysts, data scientists, and business stakeholders to enable high-quality, AI-ready data access.
Continuously improve model performance, optimize costs, maintain documentation, and enhance governance practices.
Contribute to the design and development of a modern analytics stack, ensuring it supports both current reporting needs and future machine learning applications.
Support cross-functional teams by delivering reliable, scalable, and efficient data solutions aligned with organizational goals.

Requirements

3–5 years of hands-on experience as a Data Engineer or Analytics Engineer in fast-paced environments.
Advanced proficiency in SQL, dbt, and Python.
Experience with cloud data warehouses such as Snowflake (or similar).
Familiarity with ETL/orchestration tools like Fivetran, Stitch, or Airflow.
Proven ability to collaborate with analytics, product, and data science teams on shared modeling and enablement goals.
Strong problem-solving skills with the ability to balance pragmatism and technical rigor.
Remote-friendly, based in the Americas, with experience in GCP or Terraform considered a plus.

Benefits

Competitive salary starting at $130,000 USD (or local equivalent), depending on experience.
100% coverage of medical, dental, vision, mental health, and supplemental insurance for you and your family.
16 weeks paid parental leave and unlimited PTO.
Stipends for remote work, wellness, and professional development.
Inclusive, collaborative work environment focused on growth, continuous learning, and innovation.
Opportunity to work with modern analytics technologies and shape the company’s data infrastructure.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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