Staff Data Engineer - (Remote - US)

Jobgether; United States; Remote; USD 160,000 - 210,000; Full time

Job summary

Jobgether is seeking a highly skilled Staff Data Engineer to design and maintain scalable data pipelines and data lake solutions. This role involves collaboration with cross-functional teams to ensure high data quality and support critical decision-making. Ideal candidates will have extensive experience in data engineering and a strong background in modern data technologies.

Benefits

Performance-based bonus

Equity opportunities

Comprehensive health, dental, and vision insurance

Access to 401(k) plan

Flexible paid time off

Ongoing career development

Opportunity to contribute to sustainability initiatives

Qualifications

• 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 and cloud services.

Responsibilities

• Design and implement scalable data pipelines for integration across systems.
• Build and maintain data lake solutions using Spark and Databricks.
• Collaborate with teams to understand data needs and deliver solutions.

Skills

SQL

NoSQL databases

Spark

Databricks

Airflow

AWS

Vue.js

React

Education

Bachelor’s degree in Computer Science

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 Engineer in the United States.

This role is ideal for a highly skilled and motivated data engineer with expertise in data lake development, distributed processing, and enterprise-level data integration. You will be responsible for designing, building, and maintaining secure and scalable data pipelines while collaborating with cross-functional teams across analytics, engineering, and AI. This is a hands-on position where you’ll contribute to architectural discussions, drive improvements in data accessibility and quality, and support mission-critical decision-making with reliable data infrastructure. If you're passionate about building data systems that scale and perform in a fast-paced, innovative environment, this opportunity is for you.

Accountabilities:

• 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.

• 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.

• 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

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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