Data Engineer - 1010

Reposted 2 Days Ago
Hiring Remotely in Moscow, ID, USA
In-Office or Remote
Junior
Database
The Role
The Data Engineer develops and maintains ETL processes and data pipelines, ensuring data quality and accessibility within Agile Scrum teams.
Summary Generated by Built In
The Data Engineer is responsible for building and maintaining systems that improve data reliability, quality, and accessibility. This role focuses on developing software and data pipelines that extract, transform, and load (ETL) large volumes of data from multiple sources into consistent, machine-readable formats. Data Engineers design and test architectures that support data extraction and transformation for predictive and prescriptive analytics. Working within an agile Scrum environment, the Data Engineer participates in two-week sprint cycles, contributing to sprint planning, development, and review processes to continuously improve data infrastructure and product capabilities.

Major Responsibilities:

  • Data Transformation: Collect, manage, and transform large-scale raw data from multiple sources into structured, reliable, and usable formats that meet business and analytical requirements.
  • Data Tool Creation: Design, develop, and maintain data architectures, pipelines, and applications using appropriate tools and frameworks to support scalable data processing and product development.
  • ETL Development: Build and maintain robust extract, transform, and load (ETL) processes that ensure data accuracy, efficiency, and availability across systems.
  • Root Cause Analysis & Continuous Improvement: Perform root cause analysis to identify data issues, system inefficiencies, or process gaps, and implement improvements that enhance data quality and operational performance.
  • Agile Collaboration: Work in an agile Scrum environment by contributing to sprint planning, development tasks, testing, and sprint reviews to deliver reliable and scalable data solutions

Education and Experience:

  • Bachelor’s in Computer Science, Mathematics, Statistics, or related field (or equivalent experience)
  • 2+ years in data engineering, data analysis, or similar roles
  • Experience with ETL, data warehousing, and scalable data systems.
  • Solid understanding of statistical methods and data analysis
  • Strong communication skills with ability to work independently and in teams
  • Proficiency in Python and SQL; familiarity with Java, C/C++, or similar
  • Strong software engineering, programming, and QA skills
  • Experience with Linux/Unix (POSIX systems) and Git
  • Preferred Qualifications
  • Experience with Docker, Terraform, and AWS (Batch, EMR/Spark, ecosystem tools)
  • Familiarity with GitLab and Scala
  •  

Lightcast is a global leader in labor market insights with our headquarters located in Moscow, ID (US) and other offices in the United Kingdom, Europe, and India.  We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities.Lightcast is proud to be an equal opportunity workplace and does not discriminate on the basis of federally protected statuses. Lightcast has always been, and always will be, committed to diversity of thought and unique perspectives. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

Skills Required

  • Bachelor's in Computer Science, Mathematics, Statistics, or related field
  • 2+ years in data engineering, data analysis, or similar roles
  • Experience with ETL, data warehousing, and scalable data systems
  • Strong communication skills
  • Proficiency in Python and SQL; familiarity with Java, C/C++, or similar
  • Experience with Linux/Unix and Git
  • Experience with Docker, Terraform, and AWS
  • Familiarity with GitLab and Scala
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The Company
HQ: Moscow, ID
468 Employees
Year Founded: 2000

What We Do

Emsi Burning Glass 
is now Lightcast. Our name is new, but our dedication to providing the world’s best data-driven talent strategies remains the same. We’re going to continue bringing clarity to the labor market, guiding our customers through a complex and changing world and giving them the competitive advantage they demand. Our mission is to unlock new possibilities in the labor market.

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