Senior Data Engineer

Remote - US based

Applications have closed

GumGum

GumGum is a contextual intelligence company that uses artificial intelligence to see and analyze the full content of a page in a whole new way. The result is highly visible and engaging ads served where your users are most likely to see them.

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Summary

GumGum is a contextual-first global advertising technology company that captures people’s attention, without the use of personal data. We believe that a digital advertising ecosystem based on understanding a consumer’s active frame of mind rather than behavior builds a more equitable and safer future for consumers, publishers and advertisers alike. Founded in 2008, GumGum operates in 19 markets worldwide. For more information, visit gumgum.com.

The Senior Data Engineer builds and maintains systems that drive multiple digital advertising business functions using near real-time data analytics solutions with a focus on improving performance and scalability.

Engineering team members at GumGum are encouraged to share ideas that influence system decisions. We strive to stay relevant and up to date with advanced technology.

Note: GumGum operates in a ‘work from home’ virtual environment with opportunities for in-person business and morale events (health guidelines permitting). There are no requirements to go into the office and can hire candidates in the following states: AZ, CA, CO, CT, FL, GA, IA, IL, IN, KY, MA, MD, MI, NJ, NY, OH, OR, PA, TN, TX, UT, VA, WA, MN.

Responsibilities

  • Build, maintain and improve GumGum’s data infrastructure which handles billions of advertising events hourly.
  • Design and implement streaming and batch pipelines for data ingestion and delivery.
  • Curate the data warehouse for business and technical stakeholders.
  • Contribute to GumGum’s proprietary Machine Learning forecasting systems.
  • Develop scripts and APIs for reporting.
  • Investigate and test the capabilities of emerging data technologies.
  • Collaborate regularly with cross-functional teams and lead design projects with an architectural perspective.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or related technical field (or relevant experience).
  • Four or more years data engineering experience in a AWS and cloud environment that includes:
    • Designing data models, warehouses and ETL pipelines 
    • Building data applications in Scala, Java and Python
    • Proficiency in distributed data processing with Apache Spark 
    • SQL and current data warehouse platforms such as Snowflake (preferred), Redshift, Big Query or Synapse 
    • Proficiency with workflow management platforms such as Airflow, AWS Data Pipeline, Luigi or Prefect
    • Working knowledge of streaming technologies

Candidates should possess the following:

  • Strong communication skills to effectively collaborate with engineers, project managers, and business stakeholders
  • Track record of showing initiative and leading challenging data projects
  • Deliberate approach to exploring and testing new technologies
  • Designing applications and systems with longevity in mind (scaling, maintenance, reuse, etc.)
  • Ablity to consider and synthesize multiple perspectives and opinions when deciding direction of a project or feature

Benefits & Perks

  • Medical Coverage including 100% premium coverage for employee + spouse/family 
  • Vision Coverage including 100% premium coverage for employee + spouse/family
  • Dental Coverage including 100% premium coverage for employee + spouse/family
  • Flexible Spending Account (FSA)
  • Employer-Matched 401(k) Retirement Plan
  • Life Insurance and AD&D
  • Business Travel Accident Insurance
  • Short-Term and Long-Term Disability 
  • Stock Incentive Program (role dependent)
  • Paid Parental Leave - Birth parents can receive up to 16-18 weeks for birth recovery and baby bonding. Non-birth parents can receive up to 10 weeks for baby bonding
  • Transitional Return-to-Work Schedule 
  • Modern Family Support: Cleo App
  • Employee Assistance Program
  • Legal and Identity Theft Protection
  • Student Loan Repayment Assistance
  • WFH Stipend 
  • Wellness Reimbursement 
  • Flexible Time Off 
  • Veterinary Discounts
  • WeWork Monthly Pass
  • Pet friendly organization - We love our fur babies! Check us out on Instagram @dogsofgumgum
  • Incredible work/life balance with a collaborative and friendly work space
  • A team that has transitioned to remote work impressively, and remains highly collaborative and connected
  • GumGum Gives Back volunteering opportunities
  • Virtual company events and (optional) in-person celebrations
  • Virtual monthly team bonding events
  • Anniversary recognition and awards

Career & Development Focus

  • Ongoing learning and development for education opportunities such as webinars, books, classes, relevant conferences and events
  • Opportunities to pursue business related side projects and yearly Hackathon
  • Highly encouraged to contribute to open source software, including our own open source software
  • Environment of learning from peers, including meetups, presentations and blog posts
  • Opportunity to work with cutting edge technology
  • Life Skills sessions - geared towards the whole life/ health / person
  • Leadership Bites Dinner Series - connecting current and future GumGum leaders over great food and meaningful conversation 
  • The VOICE Coalition - through our council committee, The VOICE Coalition’s mission is to build an equitable, supportive, and inclusive culture where all voices are heard and all differences are celebrated through thoughtful, engaging, and authentic programming and community involvement. We’ve created awareness and appreciation for our employees through Hispanic Heritage month, Women of GumGum, Asian Pacific American, GG Pride, etc.

Follow us on our socials...
Our Instagram: @gumgum & @dogsofgumgum
Follow us on LinkedIn: gumgum
Tweet us: @gumgum
Stay connected on Facebook: gumgum

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow APIs AWS BigQuery Computer Science Data Analytics Data warehouse Engineering ETL Machine Learning Open Source Pipelines Python Redshift Scala Snowflake Spark SQL Streaming Testing

Perks/benefits: 401(k) matching Career development Conferences Flex hours Flexible spending account Flex vacation Health care Home office stipend Insurance Medical leave Parental leave Pet friendly Team events Wellness

Regions: Remote/Anywhere North America
Country: United States
Job stats:  3  0  0
Category: Engineering Jobs

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