Sisense

Senior Data Engineer

Remote New York, NY
USD 130k - 160k
R SQL Python AWS
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Description

At Sisense, data engineers work on a variety of things - from building maintainable data models to setting up scalable data pipelines to optimizing the billions of rows flowing through our data pipelines.

Sisense’s mission is to embed analytics into any application or workflow to make critical decisions – with confidence. 

You will be joining the Sisense data engineering team. The data engineering team constantly helps the business answer complex questions with data and drive the best business outcomes possible. You will be working on a variety of data processing, transformation and storage technologies such as Apache Airflow, Dbt, Kinesis, S3, Snowflake, Redshift  

How You'll Ramp:

By Day 30: 

  • You will learn about the company's current data infrastructure, pipelines, processes and tools. You will also get acquainted with the Sisense product and understand its capabilities
  • You will pair with your onboarding buddy who is another dataHow engineer on the team to speed up your learning process
  • You will build relationships with engineers both within your team and throughout the R&D department
  • You will participate in meetings with data analysts and business users to understand their data needs and goals
  • You will be able to contribute code into the current data infrastructure and pipelines

By Day 60: 

  • You will deepen your knowledge in the current data infrastructure, pipelines, processes and tools
  • You will be able to debug various components of the data infrastructure and pipelines 
  • You will suggest improvements to the processes as well as take the initiative to document and share knowledge 
  • You will be contributing to the technical vision and priorities for your team’s future development, finding ways to improve the team’s velocity, quality and architecture.

By Day 90:

  • You will be able to contribute to any part of the data team and solve complex issues including performance and stability issues 
  • You will be able to set up complete pipelines that process large amounts of data to meet the needs of data analysts and business users
  • You will be able to come up with effective monitoring solutions to ensure smooth functioning of the data infrastructure
  • You will be able to mentor other data engineers on best practices for data engineering and help them grow in their careers.

What You've Accomplished So Far:

  • You have designed and developed data pipelines that process large amounts of structured and unstructured data
  • You have built and maintained a highly scalable data infrastructure
  • You are well versed in SQL and Python programming languages and have a strong understanding of ETL and data modeling 
  • You are well versed in the AWS data stack including Kinesis, S3, Redshift, Athena, Glue 
  • You have extensive development experience working with cloud data warehouses such as Snowflake, Redshift, BigQuery
  • You have extensive development experience with data modeling and working with data processing and transformation technologies like Apache Airflow and dbt
  • You have identified and resolved issues with large scale data processing workflows
  • You have implemented effective monitoring and testing solutions to ensure smooth functioning of the data infrastructure

About You:

  • You are outcome-focused and proactive. You have solved complex technical challenges to improve customer happiness, developer productivity, and system efficiency.
  • You enjoy working in an inclusive, collaborative environment and mentoring team members when needed. You believe in achieving collective impact and that we are “better together”.
  • You have customer empathy and are curious about how your work is going to impact a customer’s use case.
  • You're excited to pitch in wherever the team needs help, from investigating issues, debugging together to supporting customers.
  • You have successfully led and driven best practices related to code quality and testability across teams.

Why You Should Join Our Team

  • We live our values. We care about each other, the technology we create, and the customers we support. We know we’re constantly learning and improving, and look forward to sharing insights and techniques with each other.
  • We have interesting customers. We support the Red Cross with dashboards about supplies, help a suicide prevention hotline with SQL+Python ML analysis, and enable Tinder to make better matches.
  • We are our own customer. We’re heavy users of the features we build and have an intuitive understanding of what makes data teams so special and successful.
  • “You have unlimited questions remaining” is core to our team’s philosophy. We are excited about learning and sharing together, and work hard to make sure that everyone is set up for success.

About Sisense:

  • We are a radically innovative BI company focused on redefining every aspect of business analytics.
  • We’re an industry leader with more than 2,000 global customers, including Expedia, Flexport, Nasdaq, GE, Philips & Tinder.
  • We’ve been recognized as a leading visionary in Gartner’s Magic Quadrant for Analytics and Business Intelligence.
  • We’re on-boarding rapidly! We have over 700 employees with offices in New York, San Francisco, Tel Aviv, Kyiv, and London.
  • We believe strongly in a data-driven approach to all that we do. We're constantly measuring and optimizing everything about the business.
  • We’ve been recognized by Comparably, Glassdoor and Best Places to Work for our amazing company culture.

 

CO Posting: The base pay range for candidates located in Colorado is $130,000-$160,000(/yr). The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to market location, internal equity, job-related knowledge, experience and training, education, skill sets, and other business and organizational needs. A bonus, equity, commissions, and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. This position may be considered a promotional opportunity. The disclosed salary range represents an estimate of the base compensation for candidates who can or will be located in Colorado. This range may vary with respect to candidates whose primary work location is outside those jurisdictions.

NYC and CA Posting: The base pay range for candidates located in New York City and California is $130,000-$160,000 (/yr). The salary of the finalist selected for this role will be based on a variety of factors, including but not limited to market location, internal equity, job-related knowledge, experience and training, education, skill sets, and other business and organizational needs.The disclosed salary range represents an estimate of the base compensation for candidates who can or will be located in New York City or California. This range may vary with respect to candidates whose primary work location is outside those jurisdictions.

Sisense
Sisense
Analytics Artificial Intelligence Big Data Business Intelligence Data Visualization Enterprise Software Information Technology Software

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