(USA) Senior, Data Engineer

Position Overview

This role is responsible for delivering advanced data engineering solutions that drive business insights and support strategic decision-making. You will consult with senior leadership and business partners to understand objectives, lead teams to achieve business area goals, manage complex projects, and develop production-ready prototypes. The position involves collaborating with cross-functional groups to tackle data challenges and implement self-service business intelligence solutions. Primary Location: 680 West California Avenue, Sunnyvale, CA 94086-4834, United States of America.

Key Responsibilities

• Responsible for crafting simple, dependable data pipelines and automated reporting to surface key metrics.
• Design and implement big data architecture, data pipelines, reporting, dashboarding, data exploration, processes and quality controls to enable self-service Business Intelligence.
• Explore data to uncover actionable insights and provide product recommendations through analysis of funnels, long-term trends, and segmentation.
• Design, build, and maintain the ETL pipeline for an analytical data warehouse.
• Support the implementation of business solutions through data modeling, SQL, and data warehousing skills.
• Utilize fluency in SQL along with a deep understanding of statistical analysis and common pitfalls of data analysis.
• Develop automated scripts and build reusable tools using programming languages, preferably Python.
• Identify bottlenecks in data flow and analysis, and implement automation and optimization solutions for data processing pipelines and queries.
• Stay current on big data and data visualization trends, evaluate proof-of-concept projects, and recommend new technologies.

Required Qualifications

• Experience with Google Cloud, SQL, BigQuery, Hive/Spark, Unix Scripting, Python, Tableau, and Looker.
• 5+ years of experience working in a high-growth analytics team.
• 2+ years of experience with data visualization tools such as Tableau and Looker.
• 2+ years of programming experience with at least one modern OOP language (e.g., Python, Scala, Java).
• Fluency in SQL with a strong understanding of statistical analysis and common data pitfalls.
• Proven experience parsing, cleansing, and querying unstructured data using Hive/Spark.
• Experience in optimization and automation using scripting techniques.
• Strong problem-solving skills with an emphasis on product development.
• Experience developing in cloud platforms such as Google Cloud Platform (preferred), AWS, Azure, or Snowflake.
• Proficiency in designing data engineering solutions using tools like Airflow, Glue, or Dataflow.
• Excellent written and verbal communication skills for effective cross-team coordination.
• Bachelor's degree in Statistics, Computer Science, Business Administration, or a related field (experience in Product Analytics is a plus).
• Minimum qualifications options:
  • Option 1: Bachelor’s degree in Computer Science and 3 years’ experience in software engineering or a related field.
  • Option 2: 5 years’ experience in software engineering or a related field.
  • Option 3: Master’s degree in Computer Science and 1 year’s experience in software engineering or a related field.
  • Plus, 2 years’ experience in data engineering, database engineering, business intelligence, or business analytics.

Preferred Qualifications

• Experience in data engineering, database engineering, business intelligence, or business analytics.
• Familiarity with ETL tools and working with large datasets in cloud environments.
• Master’s degree in Computer Science or a related field with 3 years’ experience in software engineering.
• Background in creating inclusive digital experiences and implementing accessibility best practices.
• Knowledge in implementing WCAG 2.2 AA standards and integrating assistive technologies.

Benefits & Perks

• Competitive Pay & Performance-Based Bonus Awards – Additional compensation may include annual or quarterly performance bonuses and stock.
• Compensation: Sunnyvale, CA: $117,000.00 - $234,000.00; Bentonville, AR: $90,000.00 - $180,000.00.
• Health Benefits: Medical, vision, and dental coverage.
• Financial Benefits: 401(k), stock purchase, and company-paid life insurance.
• Paid Time Off (PTO/PPTO): Vacation, sick leave, holidays, and other leave benefits meeting or exceeding applicable paid sick leave laws.
• Educational Benefits: Access to the Live Better U program, which covers tuition, books, and fees for various education programs.
• Additional benefits include short-term and long-term disability, company discounts, Military Leave Pay, and adoption/surrogacy expense reimbursement.