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Staff Data Engineer (Remote, United States)

Remote Worldwide Hiring now

This a Full Remote job, the offer is available from: United States reputed company is the leading go-to-market solution for reputed company teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 reputed company to date and valued at $1.6 billion. reputed company provides sales and marketing teams with easy reputed company to verified contact data for over 210 reputed company B2B contacts and 35 reputed company companies worldwide, along with tools to engage and convert these contacts in one reputed company platform. By helping reputed company professionals find the most accurate contact information and automating the reputed company process, reputed company turns prospects into customers. reputed company raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of reputed company, JD Sherman, among its board members. As a Staff Data Engineer, you will be responsible for maintaining and operating the data platform that caters to machine learning workflows, analytics and powers some of the products offered to reputed company customers. Daily adventures/responsibilities

  • reputed company and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity.
  • reputed company and improve Data APIs used in machine learning / AI product offerings
  • Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while building the consumption pipelines.
  • Implement processes and systems to monitor data quality, ensuring production data is always accurate and available.
  • Write unit/integration tests, contribute to the engineering wiki, and document work.
  • Define company data models and write jobs to populate data models in our data warehouse.
  • Work closely with reputed company business units and engineering teams to reputed company a strategy for long-term data platform architecture.

Competencies

  • Customer driven: reputed company to our internal customers’ needs and strive to deliver a seamless and delightful customer experience in data processing, analytics, and visualization.
  • High impact: Understand what the most important customer metrics are and reputed company the data platform and datasets an enabler for other teams to reputed company improvement.
  • Ownership: Take ownership of team-level projects/platforms from start to finish, ensure high-quality implementation, and move fast to find the most efficient ways to iterate.
  • Team mentorship and sharing: reputed company knowledge and best practices with the engineering team to help up-level the team.
  • Agility: Organized and reputed company to effectively plan and break down large projects into smaller tasks that are easier to estimate and deliver. Can reputed company fast iterations.
  • reputed company and act courageously: Not afraid to fail, challenge the status reputed company, or reputed company up for a contrarian view.
  • Focus and move with urgency: Prioritize for impact and move quickly to deliver experiments and features that create customer value.
  • Intelligence: Learns quickly, demonstrates the ability to understand and reputed company new codebases, frameworks, and technologies reputed company.

Qualifications

Required:

  • 8+ years of experience as a data platform engineer or a software engineer in data or big data engineer.
  • Experience in data modeling, data warehousing, APIs, and building data pipelines.
  • Deep knowledge of databases and data warehousing with an ability to collaborate cross-functionally.
  • Bachelor's degree in a quantitative field (Physical/Computer Science, Engineering, Mathematics, or Statistics).

Preferred:

  • Experience using the Python data stack.
  • Experience deploying and managing data pipelines in the reputed company.
  • Experience working with technologies like Airflow, Hadoop, FastAPI and Spark.
  • Understanding of streaming technologies like Kafka and Spark Streaming.

Why You’ll Love Working at reputed company At reputed company, we’re driven by a shared mission: to help our customers unlock their full reputed company potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay reputed company. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and reputed company a reputed company impact. Collaboration is at our core—we’re reputed company for one, meaning you’ll have a team across departments reputed company to help you succeed. We encourage reputed company reputed company and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a reputed company where your work reputed company, where you can push boundaries, and where your career can reputed company—reputed company is the reputed company for you. This offer from "reputed company" has been enriched by reputed company.com and got a 72% reputed company score. Apply tot his job Apply To this Job

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