Data Engineer (Remote - US) Job at Jobgether, Remote

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  • Jobgether
  • Remote

Job Description

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

This role offers the opportunity to transform complex data into actionable insights that drive key organizational decisions. The Data Engineer will design, build, and maintain data models and pipelines that enable accurate, analysis-ready datasets for both internal teams and external stakeholders. Working in a fast-paced, mission-driven environment, this position requires a balance of technical expertise, problem-solving, and collaboration. Success means improving data reliability, streamlining analytics workflows, and supporting the organization in making informed, impactful decisions. The ideal candidate thrives in a startup-like setting, embraces innovation, and is motivated by work that has measurable societal impact.

Accountabilities:

  • Design, develop, and maintain modular, reusable dbt data models to support analytics workflows.
  • Build and orchestrate data pipelines using Airflow and other ETL tools, ensuring high reliability and automation.
  • Collaborate with cross-functional teams to define key metrics, business logic, and ensure data accuracy.
  • Maintain end-to-end data lifecycle from ingestion to transformation and documentation.
  • Implement testing, monitoring, and alerting systems to ensure pipeline performance and data quality.
  • Translate business questions into efficient queries, datasets, and dashboards for reporting and experimentation.
  • Document datasets and workflows for clarity, discoverability, and reproducibility.

Requirements

  • 4+ years of professional experience in data engineering or related roles, ideally in fast-paced startups.
  • Strong proficiency in SQL and experience with dbt for modular analytics model design.
  • Experience with Airflow or similar workflow orchestration tools.
  • Familiarity with AI, LLMs, and automation, with practical experience implementing or experimenting with AI solutions.
  • Ability to work independently, manage multiple priorities, and adapt quickly in a dynamic environment.
  • Excellent communication and collaboration skills to work effectively with stakeholders across teams.
  • Bonus: experience with metrics layer design, distributed computing (PySpark/Databricks), or political/democracy-focused work.

Benefits

  • Competitive salary range ($110,000–$160,000) with excellent benefits.
  • Fully remote work with flexible scheduling and support for home or co-working setups.
  • 100% health, dental, and vision coverage for employees and dependents.
  • Unlimited PTO policy supporting work-life balance.
  • 401(k) plan to contribute toward retirement savings.
  • Learning and development budget to support continuous growth.
  • Mission-driven work with a strong focus on societal impact and innovation.
  • Innovative deferred bonus plan offering additional upside potential.


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 3 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!

 

#LI-CL1

Job Tags

Full time, Work from home, Worldwide, Flexible hours,

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