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Senior Software Engineer, Data Platform - (Remote - US) - job 2 of 2

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 Senior Software Engineer, Data Platform in the United States.

In this role, you will be responsible for designing, implementing, and maintaining a highly available and scalable on-premises data platform. This platform will support large-scale OLAP/OLTP and feature engineering workloads, providing critical infrastructure to multiple product development teams. You will collaborate with cross-functional teams to ensure that the platform aligns with both business and internal customer needs, and you will also play a key role in supporting production systems and identifying areas for optimization.

Accountabilities:

  • Design, implement, and maintain a high-performance on-premises data platform to support large-scale OLAP/OLTP and feature engineering workloads.
  • Collaborate closely with internal teams to gather requirements and ensure the platform meets business needs.
  • Provide production-grade support, focusing on observability, instrumentation, and ensuring adherence to service level objectives (SLOs).
  • Automate administrative tasks and set up alerts for proactive system monitoring and issue resolution.
  • Troubleshoot performance issues and implement optimizations to eliminate bottlenecks across the platform.
  • Engage with vendors to provide critical product feedback and advocate for new features to meet evolving business needs.
  • Develop and implement best practices for data security across various layers of the platform.

  • A degree in Computer Science or equivalent practical experience.
  • 7+ years of experience in software engineering, with a focus on data platform management and support.
  • Expertise in programming languages like Python, Java, C++, or SQL, and hands-on experience with tools such as Trino (or Presto), Apache Spark, Terraform, Kubernetes, and ArgoCD.
  • Familiarity with Object Storage and open table formats like Iceberg and DeltaLake.
  • Strong communication skills, with a willingness to participate in daily stand-ups and a desire to continuously learn and keep up to date with technology advancements.
  • Experience in troubleshooting complex systems and optimizing performance across full stack systems.
  • Competitive salary and benefits package.
  • Health plans, paid time off, and company-paid holidays.
  • Opportunities for personal and professional development.
  • Flexible work environment with remote work options.
  • Inclusive, innovative, and entrepreneurial company 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!

#LI-CL1

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Software Engineer, Data Platform - (Remote - US), Jobgether

Are you a talented Senior Software Engineer looking for an exciting opportunity to work with cutting-edge technology? Join our team at Jobgether, where we strive to connect top talent with the right opportunities through our innovative Talent Matching Platform. We're on the lookout for a Senior Software Engineer, Data Platform in the United States! In this dynamic role, you will be instrumental in designing, implementing, and maintaining a highly available and scalable on-premises data platform that supports large-scale OLAP/OLTP and feature engineering workloads. This vital infrastructure will empower multiple product development teams and facilitate essential operations within our organization. You will frequently collaborate with cross-functional teams to gather insights and ensure that our platform aligns seamlessly with business and internal customer needs. Your expertise will shine as you provide production-grade support and identify opportunities for optimization, automating administrative tasks, and troubleshooting performance issues across the platform. Along the way, you'll engage with vendors and advocate for new features, all while maintaining best practices for data security. If you have a degree in Computer Science or similar practical experience and over seven years in software engineering, particularly in data platform management, we want to hear from you! You should be well-versed in languages like Python, Java, C++, or SQL, with hands-on experience in tools such as Trino, Apache Spark, Terraform, Kubernetes, and ArgoCD. Enjoy a competitive salary, flexible remote work options, and a culture that fosters innovation and inclusivity. Let's redefine talent matching together!

Frequently Asked Questions (FAQs) for Senior Software Engineer, Data Platform - (Remote - US) Role at Jobgether
What responsibilities does the Senior Software Engineer, Data Platform at Jobgether have?

The Senior Software Engineer, Data Platform at Jobgether is responsible for designing, implementing, and maintaining a highly available on-premises data platform. This includes supporting large-scale OLAP/OLTP workloads while collaborating with cross-functional teams, automating tasks, and ensuring optimal system performance.

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What qualifications are needed for the Senior Software Engineer, Data Platform position at Jobgether?

To qualify for the Senior Software Engineer, Data Platform role at Jobgether, candidates should have a degree in Computer Science or equivalent experience, along with over seven years of software engineering experience, particularly in data platform management. Proficiency in Python, Java, or SQL, and experience with tools like Trino and Apache Spark are also necessary.

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How does Jobgether support the work-life balance of Senior Software Engineers?

Jobgether promotes a flexible work environment for Senior Software Engineers, allowing for remote work options. Alongside competitive salaries, the company offers health plans, paid time off, and opportunities for personal and professional development, ensuring a healthy work-life balance.

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What tools does the Senior Software Engineer, Data Platform use at Jobgether?

In the Senior Software Engineer, Data Platform role at Jobgether, professionals primarily utilize tools like Trino, Apache Spark, Terraform, Kubernetes, and ArgoCD. Familiarity with Object Storage and open table formats like Iceberg and DeltaLake is also advantageous.

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What is the culture like at Jobgether for a Senior Software Engineer?

At Jobgether, the culture is inclusive, innovative, and entrepreneurial. Senior Software Engineers are encouraged to participate in daily stand-ups, collaborate with diverse teams, and continuously learn and grow along with the evolving technological landscape.

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Common Interview Questions for Senior Software Engineer, Data Platform - (Remote - US)
Can you describe your experience with data platform management as a Senior Software Engineer?

In answering this question, relate specific projects where you designed or optimized data platforms, discussing the technologies used and the outcomes achieved. Highlight your collaboration with cross-functional teams and how you ensured alignment with business needs.

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What programming languages are you proficient in, and how have you applied them in previous roles?

When discussing programming languages, mention those relevant to the Senior Software Engineer, Data Platform position, like Python or SQL. Provide examples of how you've used these languages in real-world applications, ensuring a focus on data management and scalability.

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Can you explain your approach to troubleshooting performance issues in data platforms?

Describe a systematic approach to diagnosing performance bottlenecks, such as monitoring system logs and metrics, identifying resource constraints, and implementing optimizations. Share specific examples that demonstrate your problem-solving skills.

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What best practices do you follow for ensuring data security in the platform?

Discuss various data security strategies you've implemented, such as encryption, access controls, and compliance with industry standards. Emphasize your commitment to maintaining data integrity and the measures taken to protect sensitive information.

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How do you stay current with technological advancements in data engineering?

Explain your methods for keeping up with industry trends, such as attending conferences, participating in webinars, or following relevant publications. Share how you have applied new learnings to your projects, demonstrating your dedication to continuous improvement.

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Describe a time when you had to collaborate closely with other teams. How did you ensure success?

Provide a specific example of a project that required teamwork across different departments. Highlight your communication skills, ability to gather requirements, and how you aligned the technical solutions with the overall business objectives.

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What strategies do you employ to automate administrative tasks in data platforms?

Talk about specific tools and frameworks you've used for automation, like Terraform or Kubernetes, and your experience in scripting repetitive tasks. Share how automation has improved the efficiency of the data platform operations.

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How do you manage competing priorities and deadlines in your work?

Discuss strategies like prioritization frameworks or agile methodologies you follow. Offer insights into how you've balanced multiple projects simultaneously, ensuring quality delivery without compromising on deadlines.

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What is your experience with cloud services in relation to data platform management?

If applicable, share your experience utilizing cloud providers for data platforms, including specific services and how they improved data accessibility and scalability. Detail how you have managed migration projects or integrated cloud solutions into existing infrastructure.

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How do you assess and implement feedback from vendors regarding platform features?

Describe your role in engaging with vendors and how you collect and synthesize feedback. Explain how you’ve advocated for new features or improvements based on this feedback and the resultant impacts on the business.

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Jobgether has the ambition to disrupt the recruitment industry as we know it by simplifying it and making it more accurate 🎯 Jobgether platform connects candidates and companies based on: - Skills -... Values - Ambition - Personality The candidat...

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DATE POSTED
April 2, 2025

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