Data Engineer

  • Hiring!,
  • Portland, OR
Data Pipelines, Data Architecture, Security, AWS, ETL, Python, Java, Scala, Distributed Data, SQL, Data Cleaning, Batch Data, Leadership
Full Time
145K - 165K + DOE
Work from home not available Travel not required

Job Description

Come join us at KINSA   LOVE your job and make a difference too!
Kinsa is looking for a Senior Data Engineer in the San Francisco Bay Area or in Portland, Oregon. This is an opportunity to become a foundational member of the engineering team and design, build, & scale our data pipelines, data warehouse, and machine learning infrastructure. You will be a key contributor in designing and building our data platform and delivering robust data pipelines that will ultimately have a meaningful impact for an important social mission.
Kinsa was founded with a mission to stop illness from spreading by knowing where and when it starts. We’ve done this by transforming the first device you grab when sickness strikes - the thermometer - into a sensor to detect when and where illness is rising, and communicate with those who have just fallen ill. Our connected products help people and communities stay healthy while advancing a broader mission: to create a real time map of human health in order to track — and stop — the spread of disease.

There are three key characteristics of our team that we hope are traits you have as well

    • Passion: The Kinsa team is driven towards a goal that is bigger than themselves, they have a real passion in working toward a solution for a widespread social issue.
    • Communication: Direct, direct, direct. If want to say something in 15 words, say it in 10. Structured meetings, with an end goal in mind.
    • Hard Work: We are a startup, and we are proud of our work so far but there is a lot more work to be done. We hope you have the same mindset. Be productive and don’t be afraid to work out the problem on your own.

You’re good at:

    • designing, building, and deploying efficient data pipelines.
    • intelligently designing and implementing our data architecture.
    • implementing inclusive data quality checks.
    • providing data-driven insights.
    • ensuring scalability.
    • meeting data privacy and data security standards.
    • securely source external data from multiple partners

You have:

    • at least 5 years of experience in data engineering building data warehouses and data pipelines.
    • experience with AWS (EC2, S3, EFS, RDS, DynamoDB, Lambda, Redshift, Kinesis)
    • built large scale, data driven applications including elements like real-time streaming, batch data aggregation, data modeling, data cleaning, anomaly detection and bulk ingestion.
    • experience designing and writing robust ETL jobs and pipelines (Airflow, Luigi).
    • strong software development skills at least one of the following: (Python, Java, Scala).
    • experience with distributed data processing systems.
    • a passion for problem solving and providing solutions.
    • extensive experience with SQL.
    • strong technical leadership skills.

Contact me at or APPLY using the link above.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Dice Id : 10340513
Position Id : 799244
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