Data Engineer (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

160000.0

Posted On

09 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, dbt, Airflow, Data Quality, Data Modeling, Data Pipelines, Collaboration, Documentation, Analytics, Automation, AI, LLMs, Communication, Agile, Pyspark, Databricks

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in the United States. This role is ideal for a data professional passionate about transforming raw information into actionable insights that drive meaningful decision-making. You will design and maintain data models, pipelines, and workflows to ensure accuracy, accessibility, and scalability across analytics platforms. Collaborating closely with cross-functional teams, you will define business logic, enhance data quality, and support advanced reporting and experimentation. This is a fully remote opportunity to contribute to a mission-driven organization leveraging technology and AI to drive impact on a national scale. Accountabilities: Design, build, and maintain robust dbt data models that support analytical tools and internal reporting. Develop and manage efficient data workflows and pipelines using Airflow for orchestration and automation. Collaborate with Data, Product, and Engineering teams to define key metrics, ensure data consistency, and optimize data accessibility. Manage the end-to-end lifecycle of analytics-ready datasets, from ingestion to transformation and documentation. Implement testing, monitoring, and alerting systems to guarantee data quality and reliability. Translate business requirements into performant SQL queries and datasets for reporting and experimentation. Maintain clear documentation to support data discoverability, lineage, and governance. Work closely with leadership to support strategic initiatives and performance tracking. Bachelor’s degree in Computer Science, Engineering, or a related field, with 4+ years of experience as a Data Engineer or in a similar analytics-focused role. Proficiency in SQL and strong experience developing modular dbt models for analytics workflows. Proven track record in building and managing Airflow pipelines and maintaining data infrastructure in fast-paced environments. Interest or experience in leveraging AI, LLMs, and automation to enhance data-driven processes. Strong communication and collaboration skills for working with multiple stakeholders. Ability to thrive in a remote, agile team environment and adapt quickly to evolving priorities. Bonus points for experience with Pyspark on Databricks, metrics layer design, or exposure to political, civic, or social impact work. Competitive salary range of $110,000–$160,000 depending on experience and qualifications. 100% coverage of health, dental, and vision benefits for employees and dependents. Fully remote work setup with a workspace stipend and $50/month home office allowance. Unlimited paid time off policy promoting work-life balance and flexibility. 401(k) program for retirement savings. Individual learning and development budget for professional growth. Innovative Bitcoin-denominated deferred bonus plan offering long-term upside potential. Opportunity to work on a high-impact mission with a collaborative, values-driven team. Fully funded organization — focus on creating value and results without fundraising pressures. 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

Responsibilities

Design and maintain data models, pipelines, and workflows to ensure accuracy and accessibility across analytics platforms. Collaborate with cross-functional teams to define business logic and enhance data quality for reporting and experimentation.