Senior Data Engineer at airSlate

airSlate logo
airSlate

Senior Data Engineer

Hybrid

Full Time

#Engineering

#Security Engineering

#Data Engineering

#Python

#Scala

#Java

#Apache Spark

#Apache Flink

#Apache Beam

#Apache Airflow

#Apache NiFi

#SQL

#NoSQL

airSlate is looking for a Senior Data Engineer

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airSlate is a global leader in no-code workflow automation, electronic signatures, and document management, serving over one million customers with products like signNow, pdfFiller, and DocHub. We are currently seeking a Senior Data Engineer to join our expanding team and help us transform how organizations digitize their processes.

Responsibilities

  • Maintain our data platform to ensure the delivery of high-quality, timely data.
  • Plan and execute the expansion of our data infrastructure to support company growth and evolving analytical requirements.
  • Establish and uphold internal standards for coding style, maintenance, and best practices within a high-scale environment.
  • Develop and manage robust data pipelines connecting internal databases and SaaS applications.
  • Write clean, performant, and maintainable code while keeping system documentation up to date.
  • Tackle complex technical challenges and implement DataOps philosophies across all projects.
  • Extend our enterprise data model and collaborate closely with Analytics Engineers and Data Analysts to drive operational efficiency.
  • Stay current with emerging advancements in data engineering to ensure our systems remain at the forefront of the industry.

Must-haves

  • Proficiency in Python, Scala, or Java.
  • Experience with data processing frameworks such as Apache Spark, Apache Flink, or Apache Beam.
  • Expertise in pipeline orchestration tools like Apache Airflow or Apache NiFi.
  • Strong understanding of message brokers, distributed streaming platforms, and database management (SQL, NoSQL, and open formats).
  • Familiarity with development tools including Git, Docker, and Kubernetes, alongside cloud infrastructure experience (AWS, GCP, or Azure).
  • Solid grasp of data privacy, security, algorithms, data structures, and modeling.
  • Practical experience with DataOps, Data Lake, Data Mart, and DataMesh principles.
  • Excellent communication skills in English, with the ability to create clear technical documentation.

Nice-to-haves

  • Hands-on experience with the AWS ecosystem, specifically Redshift, Glue, S3, EMR, DMS, QuickSight, or MWAA.

Benefits

  • Hybrid work flexibility, allowing you to work from our global hubs or remotely.
  • Competitive compensation packages including performance-based bonuses and stock options.
  • Comprehensive professional development support, including access to courses, conferences, and internal mobility opportunities.
  • Tailored health and well-being benefits, including fitness options and quarterly company-wide Mental Health Days.
  • A family-friendly culture that includes support for parents, pet-friendly policies, and dedicated family events.
  • Opportunities to participate in charitable initiatives through our airSlate Care program.
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