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Staff Data Engineer - (Remote - US)

Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
United States
$160,000 - $210,000
Data
Staff Software Engineer
Remote
8+ years of experience
AI · Enterprise SaaS

Description For Staff Data Engineer - (Remote - US)

Jobgether, a cutting-edge Talent Matching Platform, is seeking a Staff Data Engineer to join their team in a fully remote capacity across the United States. This role represents an exceptional opportunity for an experienced data engineer to make a significant impact in a company that leverages AI for talent matching.

The position requires a seasoned professional with 6-10 years of experience who can design and implement scalable data pipelines, build and maintain data lake solutions, and lead architectural decisions. You'll work with modern technologies including Spark, Databricks, and various AWS services, while collaborating with cross-functional teams across analytics, engineering, and AI.

The role offers a competitive compensation package ranging from $160,000 to $210,000 annually, along with comprehensive benefits including health insurance, 401(k), equity opportunities, and flexible PTO. This is an ideal opportunity for someone who wants to work at the intersection of data engineering and AI-driven talent solutions, while having the flexibility of remote work.

As a Staff Data Engineer, you'll be responsible for ensuring high data quality and availability standards across the enterprise, implementing DevOps practices, and providing technical mentorship within the data team. The position requires expertise in both SQL and NoSQL databases, modern data orchestration tools, and web frameworks, making it perfect for a well-rounded technical leader who can drive innovation and maintain high-performance data systems.

Last updated a month ago

Responsibilities For Staff Data Engineer - (Remote - US)

  • Design and implement scalable data pipelines to support integration across internal systems and third-party platforms
  • Build and maintain data lake solutions using technologies such as Spark and Databricks
  • Develop and manage cloud-based services and web applications to support data access and processing
  • Ensure high data quality and availability standards across the enterprise
  • Collaborate with engineering, analytics, and AI teams to understand data needs and deliver performant solutions
  • Lead or contribute to architectural decisions and technical mentorship within the data team
  • Implement DevOps and agile best practices across the development lifecycle

Requirements For Staff Data Engineer - (Remote - US)

React
Python
  • 6–10 years of experience in data engineering, data analysis, or software development roles
  • Proficient in SQL and NoSQL databases; strong hands-on experience with Spark/Databricks
  • Skilled in modern data orchestration tools such as Airflow and cloud services like AWS (EC2, S3, Lambda, RDS, IAM)
  • Solid experience with web frameworks (Vue.js, React) and RESTful service development
  • Familiarity with serverless architectures and messaging systems (SQS, SNS)
  • Bachelor's degree in Computer Science or related discipline
  • Demonstrated ability to manage complex codebases and deliver projects from design to deployment

Benefits For Staff Data Engineer - (Remote - US)

Medical Insurance
Dental Insurance
Vision Insurance
401k
Equity
  • Competitive salary range: $160,000 – $210,000 per year
  • Performance-based bonus and equity opportunities
  • Comprehensive health, dental, and vision insurance
  • Access to 401(k) plan
  • Flexible paid time off and remote work environment
  • Ongoing career development and mentorship
  • Opportunity to contribute to mission-driven sustainability initiatives

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