Staff Data Platform Engineer - (Remote - US)

Jobgether; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Staff Data Platform Engineer to shape its data infrastructure. The role involves designing robust data platforms, collaborating with cross-functional teams, and driving data quality improvements. Ideal candidates will have extensive experience in data engineering and strong technical skills in SQL and Python.

Benefits

Competitive salary based on experience

Comprehensive medical, dental, and vision insurance

Flexible work environment with remote options

Generous paid time off (PTO) and company holidays

Retirement plan with company matching

Professional development opportunities

Collaborative and innovative work culture

Qualifications

• 7+ years of experience in data or analytics engineering.
• Proven experience in designing and maintaining data platforms.
• Strong problem-solving skills with an ownership mindset.

Responsibilities

• Design and build scalable, high-performance data platforms.
• Own and lead large-scale data engineering projects.
• Continuously optimize data pipelines for efficiency.

Skills

SQL

Python

Data Engineering

Infrastructure Management

Collaboration

Problem-Solving

Job description

About Jobgether

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.

One of our companies is currently looking for a Staff Data Platform Engineer in United States.

As a Staff Data Platform Engineer, you will play a pivotal role in shaping the data infrastructure of the organization. You will be responsible for designing and building robust, scalable, and high-performance data platforms that enable actionable insights and decision-making across the company. The role requires deep technical expertise in data engineering, with a focus on building systems that streamline data access and improve data quality. You will collaborate closely with cross-functional teams, including engineering, data scientists, and business stakeholders, to ensure that data is reliable, accessible, and actionable.

Accountabilities:

• Design and build scalable, high-performance data platforms that support the company's data-driven decision-making
• Own and lead large-scale data engineering projects, driving significant impact across the organization
• Work closely with engineering, data scientists, and business teams to understand data needs and implement solutions that meet those needs
• Ensure data infrastructure is robust, secure, and easy to maintain, while providing users with the ability to access and analyze data efficiently
• Drive improvements in data quality, accessibility, and usability to empower data-driven decision-making across the organization
• Continuously optimize data pipelines, ensuring data is processed efficiently and reliably

• 7+ years of experience in data or analytics engineering
• Proven experience in designing, building, and maintaining data platforms
• Strong proficiency in SQL, Python, and infrastructure management
• Experience working across the data stack, from data pipelines to visualization tools
• Excellent collaboration and communication skills, with the ability to partner with cross-functional teams and stakeholders
• Demonstrated ability to drive data engineering projects to successful completion, with a focus on delivering impact
• Strong problem-solving skills with an ownership mindset and the ability to work independently

• Competitive salary based on experience and geographic location
• Comprehensive medical, dental, and vision insurance
• Flexible work environment with remote options
• Generous paid time off (PTO) and company holidays
• Retirement plan with company matching
• Professional development opportunities
• Collaborative and innovative work culture

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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