Data Engineer II - (Remote - US)

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

Job summary

Jobgether is seeking a Data Engineer II to build and maintain a data platform that drives insights and operations. This role involves collaboration with various teams to create secure and scalable data pipelines, ensuring data-driven decision-making in a fast-paced environment.

Benefits

Equity incentive participation

Comprehensive benefits including health, dental, and vision coverage

Generous PTO policy with flexible paid time off

Paid parental leave

Supportive, inclusive company culture

Qualifications

• 2+ years of experience in software engineering, preferably with Python.
• 2+ years of experience building data platforms and pipelines.
• Strong proficiency in SQL.

Responsibilities

• Collaborate with senior engineers to design and support data pipelines.
• Build high-quality, reliable datasets and reports.
• Monitor and maintain data pipeline health.

Skills

Python

SQL

Data Pipeline Management

Containerization

Observability Tools

Data Warehouse Technologies

Orchestration Technologies

Conceptual Thinking

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 Data Engineer II in United States.

As a Data Engineer II, you will play a critical role in building and maintaining the data platform that drives business insights and operations. This role requires collaboration across teams to deliver secure, reliable, and scalable data pipelines. You will work closely with engineers, data scientists, and product managers to build out systems that support data-driven decision-making and optimize data flows across the organization. This position offers an exciting opportunity to contribute to the creation of an enterprise-grade data platform from the ground up, in a fast-paced, mission-driven environment.

Accountabilities:

• Collaborate with senior engineers to design and support data pipelines and platforms that power the business
• Build high-quality, reliable datasets and reports in partnership with various teams
• Implement and uphold coding standards, shared libraries, and best practices for data infrastructure
• Work with Data Science, Research, and Product teams to transform ideas into performant, production-level systems
• Ensure security and privacy through best practices, keeping user data safe
• Monitor and maintain data pipeline health, ensuring the reliability and performance of all systems

• 2+ years of experience in software engineering, preferably with Python
• 2+ years of experience building data platforms and pipelines in a fast-paced environment
• Strong proficiency in SQL
• 1+ years of experience with observability tools (e.g., Cloudwatch, Datadog, Prometheus)
• 1+ years of experience with containerization technologies such as Kubernetes and Docker
• Experience with data warehouse technologies like Snowflake, RedShift, or DataBricks
• Familiarity with orchestration technologies like Argo or Airflow
• Strong conceptual thinking and the ability to break down abstract problems into actionable tasks
• Ability to quickly learn new tools and technologies
• Authorized to work in the United States (no immigration sponsorship available)

• Competitive salary range of $120,000 - $160,000
• Equity incentive participation
• Comprehensive benefits, including health, dental, and vision coverage
• Generous PTO policy, with flexible paid time off
• Paid parental leave
• Opportunity to work in a fast-paced, mission-driven environment
• Supportive, inclusive company culture that values transparency and open communication

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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