Senior Data Engineer

2 months ago

Santa Monica, United States Eliassen Group Full time

***W2 & Locals only. No C2C***


Job Description:

As a Senior Data Engineer on the Data Measurement team, you will provide the technical and business skills to ensure data is trusted. The ideal candidate will help to define, measure, support and certify the data pipelines and systems that serve data to our business and millions of users. Core responsibilities for this position include:

  • Leverage your skills in SQL, Scala, and Python to build models that measure and evaluate the quality, consistency, resilience, accuracy, and availability of our data
  • Provide intuitive metrics that show stakeholders the “state” of their data in actionable form
  • Build and automate data rules to verify data meets boundary conditions and alerts data owners/consumers when boundary conditions are met
  • Automate processes, procedures, and workflows to ease data certification process
  • Collaborate with engineering, management, product, and business teams to improve data reliability across products and projects


Responsibilities:

-Focus on major areas of work, typically 20% or more of role

% of Time

  • Software Engineering & Design

50%

  • Stakeholder Engagement

20%

  • Monitoring & Research

30%


Experience:

Basic Qualifications

  • 5+ years’ experience in designing and executing queries to assess the veracity of datasets
  • Ability to read/write complex SQL queries to analyze data, investigate systemic defects
  • Familiarity with statistical methods for assessing and evaluating data
  • 3+ years’ experience working with at least one or more industry-standard database technologies (mySql, Snowflake, Hive)
  • 3+ years of experience in programming languages like Python or Scala/Java

· Exceptional written and oral communication skills that translate across technical and business domains.

· Team-oriented and independently motivated to deliver results.

· Patience and resilience in working with the sometimes-ambiguous requirements that characterize innovation projects


Preferred Qualifications:

Preferred Qualifications

· Proficiency in using reporting tools like Tableau or Looker

· Proficiency in git or similar version control tools

· Proficiency in machine learning model development

· Experience working in big data environments (Hadoop, S3, HBase)


Experience with:

· Python

· SQL

· Stakeholder engagement


Team Overview:

Engineering Services designs, builds, and sustains technology that powers DE&E Technology’s worldwide content production and distribution platforms. In doing so, they contribute to a series of cross-functional services and technologies, including Quality Assurance, Data Analytics, Software Development, Broadcast Infrastructure, and Networking & Security.

The Data Measurement team profiles, audits, certifies, and communicates the consistency, accuracy, availability, and resilience of our data. We build, maintain, and monitor thousands of signals required to ensure that our data can be used to drive critical insights on our business, to provide quality input to our machine learning models, and to serve as a foundation for the innovation and creativity required to move us forward as the world’s premier streaming service.


Education

Bachelor’s Degree in Information Systems, Mathematics or related technical discipline or its equivalent

BS in Mathematics, Information Systems or related degree/experience


Job ID: 385791

Skills, experience, and other compensable factors will be taken into account when determining pay rate. The pay range provided in this posting is a reflection of a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k), with match, and sick time if required by law in the worked-in state/locality.

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