Senior Data Engineer, Big Data

4 weeks ago


Palo Alto, California, United States ZipRecruiter Full time
About the Job

We're seeking a skilled Data Processing Engineer to join our team. As a key member of our engineering team, you'll be responsible for designing and implementing data processing pipelines using big data technologies like Spark and Flink.

Key Responsibilities:

  • Design and implement data processing pipelines using big data technologies
  • Collaborate with cross-functional teams to develop and deploy data-driven applications
  • Develop a strong understanding of the business, industry, codebase, and/or systems

Requirements:

  • 3+ years of professional software development experience with a focus on big data technologies
  • Experience with Hadoop, Spark, Hive, and/or other big data technologies
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms
  • Experience with containerization technologies like Docker and/or Kubernetes

Preferred Qualifications:

  • 5+ years of professional software development experience, with a focus on big data technologies
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Experience with data integration tools like Apache Kafka, Flume, and NiFi
  • Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB
  • Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks

As a member of our team, you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $105,000-$145,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

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