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[Remote] Data Engineer III

Remote Full-time Now Hiring

Note: The job is a remote job and is open to candidates in USA. Astreya is seeking a Data Engineer III to join its analytics team. The role focuses on designing and maintaining data pipelines and infrastructure, building ETL processes and analytics tools, and supporting cross-functional teams with data-related technical needs.

Responsibilities

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for team members to assist them in building and optimizing analytics production
  • Work with data and analytics experts to strive for greater functionality in our data systems
  • Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Skills

  • Bachelor's degree (B.S/B.A) from four-college or university and 5 to 8 years' related experience and/or training; or equivalent combination of education and experience
  • Networks with senior internal and external personnel in own area of expertise
  • Demonstrates good judgment in selecting methods and techniques for obtaining solutions
  • Proficiency in languages SAS, Python, Java, and MatLab
  • ETL (Extract, Transform, and Load)
  • Database - SQL and NoSQL
  • Data Warehousing – Hadoop, MapReduce, HIVE, Presto
  • Operating system: UNIX, Linux
  • Follows standard practice and procedures when analyzing situations or data
  • Must have the ability to perform office-related tasks which may include prolonged sitting or standing
  • Must have the ability to move from place to place within an office environment
  • Must be able to use a computer
  • Must have the ability to communicate effectively
  • Some positions may require occasional repetitive motion or movements of the wrists, hands, and/or fingers
  • Programming language: Javascript, R
  • Basic Machine Learning

Benefits

  • Medical provided through UHC (PPO, HSA, Surest options) / Medical provided through Kaiser (HMO option only) for California employees only
  • Dental provided through UHC
  • Nationwide Vision provided by UHC
  • Flexible Spending Account for Health & Dependent Care
  • Pre-Tax Account for Commuter Benefit/Parking & Transit (location-specific)
  • Continuing Education and Professional Development via various integrated platforms, e.g. Udemy and Coursera
  • Corporate Wellness Program provided by Goomi Group
  • Employee Assistance Program
  • Wellness Days
  • 401k Plan
  • Basic and Supplemental Life Insurance
  • Short Term & Long Term Disability
  • Critical Illness, Critical Hospital, and Voluntary Accident Insurance
  • Tuition Reimbursement (available 6 months after start date, capped)
  • Paid Time Off (accrued and prorated, maximum of 120 hours annually)
  • Paid Holidays
  • Any other statutory leaves, paid time, or other ancillary benefits required under state and federal law

Company Overview

  • Astreya is an information technology services company that provides IT talent outsourcing and infrastructure services to enterprises. It was founded in 2001, and is headquartered in San Jose, California, USA, with a workforce of 1001-5000 employees. Its website is http://astreya.com.
  • Company H1B Sponsorship

  • Astreya has a track record of offering H1B sponsorships, with 3 in 2026, 13 in 2025, 12 in 2024, 7 in 2023, 8 in 2022, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.