Data Engineer III

Posted 2 Days Ago
2 Locations
In-Office or Remote
114K-180K Annually
Senior level
Information Technology
The Role
Builds and maintains scalable data pipelines, ETL infrastructure, data warehouses, and analytics tools. The role assembles complex datasets, automates processes, optimizes data delivery architecture, and supports cross-functional data initiatives. Collaborates with executive, product, data, and design stakeholders to resolve technical issues and improve analytics systems. Requires proficiency in SAS, Python, Java, MATLAB, SQL, NoSQL, Hadoop, MapReduce, Hive, Presto, UNIX, and Linux, with JavaScript, R, and basic machine learning preferred.
Summary Generated by Built In

What this Job Entails: 

We are looking for a Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The Data Engineer will support our data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. 

Scope: 

  • Resolves a wide range of issues in creative ways

  • Seasoned, experienced professional with a full understanding of their specialty

  • Works on problems of a diverse scope 

  • Receives little instruction on day to day work, general instruction on new assignments

Your Roles and 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

Required Qualifications/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

Preferred Qualifications: 

  • Programming language: Javascript, R

  • Basic Machine Learning 

Physical Demand & Work Environment:

  • 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

Salary Range

$114,000.00 - $180,000.00 USD (Salary)
  • Please note that the salary information provided herein is base pay only (gross); it does not include other forms of compensation which may or may not apply to this specific position, namely, performance-based bonuses, benefits-related payments, or other general incentives - none of which are guaranteed, may be subject to specific eligibility requirements, and are wholly within the discretion of Astreya to remit.
  • Further, the salary information noted above is a range that consists of a minimum and maximum rate of pay for this specific position. Where an applicant or employee is placed on this range will depend and be contingent on objective, documented work-related considerations like education, experience, certifications, licenses, preferred qualifications, among other factors.

Astreya offers comprehensive benefits to all Regular, Full-Time Employees, including:

  • 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

Skills Required

  • Bachelor’s degree from a four-year college or university, or equivalent combination of education and experience
  • 5 to 8 years of related experience and/or training
  • Proficiency in SAS, Python, Java, and MATLAB
  • Experience with ETL processes
  • Experience with SQL and NoSQL databases
  • Experience with Hadoop, MapReduce, Hive, and Presto data warehousing technologies
  • Experience with UNIX and Linux operating systems
  • Proficiency in JavaScript and R
  • Basic machine learning knowledge

Astreya Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Astreya and has not been reviewed or approved by Astreya.

  • Healthcare Strength Health coverage includes multiple medical plan options plus dental and vision, complemented by FSAs, an EAP, disability and life insurance, and wellness programs. Feedback suggests these offerings provide solid core protection across many roles.
  • Wellbeing & Lifestyle Benefits Client-site amenities at some large tech campuses can add non-cash value such as meals or on-site perks that enhance the day-to-day experience. Wellness Days and access to learning resources and tuition reimbursement further support overall wellbeing.
  • Flexible Benefits Choice among medical plan types and tax-advantaged accounts enables some customization to individual needs. Some roles also offer remote or flexible work, adding practical flexibility to the total package.

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The Company
HQ: San Jose, California
1,958 Employees
Year Founded: 2001

What We Do

Astreya is the leading IT solutions provider for some of the world's most recognizable and innovative organizations. Our journey started in 2001 in the heart of Silicon Valley and reaches thirty-three countries with over 2200+ IT professionals. We enable businesses to make better decisions, achieve operational efficiency and gain a competitive edge. The Astreya advantage is centered around focus and clear- vision, world-class talent, and innovative technology: Creativity is in our DNA. Our dedicated Software and Service Innovation teams bring best-in-class technology and tools to bear for our clients.

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