Senior Data Engineer (US)

Senior Data Engineer (US)

This job has closed but is shown for context on data science work at DISQO.
DISQO is a next-generation consumer insights platform. We provide the highest quality consumer data to the world's largest market research agencies, analytics companies, and brands. We operate one of the world's largest true consumer insights panels. This data helps our clients understand user behavior, build better experiences, and make better decisions. We utilize cutting-edge technology and innovative, out-of-the-box strategies to collect and analyze insights which help shape the products and services of tomorrow.


What you will do:

    • Leverage your software development and data engineering skills to impact our business by taking ownership of key projects requiring coding and data pipelines
    • Collaborate with product managers, software engineers and data engineers to design, implement, and deliver successful data solutions
    • Define technical requirements and implementation details for data solutions
    • Design, build and optimize performant databases, data models, integrations and ETL pipelines in RDBMS and NoSQL environments
    • Maintain detailed documentation of your work and changes to support data quality and governance
    • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to the customers
    • Be an active participant and advocate of agile/scrum practices to ensure health and process improvements for your team

What you bring to the table:

    • 5+ years of experience designing and delivering large scale, 24/7, mission-critical data pipelines and features using modern big data architectures
    • 3+ years of Scala
    • 3+ years of Spark
    • 2+ years of experience with AWS data ecosystem (Redshift, EMR, Glue, Athena, ...)
    • Deep knowledge in various ETL/ELT tools and concepts, data modeling, SQL, query performance optimization
    • Experience with building stream processing applications using Kinesis or Kafka
    • Experience with workflow management tools (Airflow, Oozie, Azkaban, Luigi, etc.)
    • Comfortable working in Linux environment
    • Ability to thrive in an agile, entrepreneurial start-up environment
Perks & Benefits:

·100% covered Medical/Dental/Vision for employee, 80% for dependents
·Equity
·Unlimited Vacation
·Flexible work hours
·Catered lunches 3x a week
·Stocked pantry
·Happy Hours
·Onsite Fitness Program
·Discounted Gym Membership
·Quarterly Offsites
·401K
·Life Insurance
·FSA
·Paid Maternity/Paternity leave
·Disability Insurance
·Travel Assistance Program
·24/7 Counseling Services offered to employees

DISQO is an equal opportunity employer. Discovery, innovation, and growth are possible when we open ourselves to new possibilities, perspectives, and approaches. That’s why, at DISQO, we welcome, support, and empower individuals from diverse backgrounds. Exceptional teams are rooted in extraordinary people, each with a unique story and a compelling set of skills. DISQO does not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.

*Recruiting firms that submit resumes to DISQO without first entering into a written contract will not be entitled to any compensation on candidates referred by that firm.
This job has closed but is shown for context on data science work at DISQO.
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