Quanata

Senior Data Engineer

Quanata

full-time

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $215,000 - $300,000 per year

Job Level

About the role

  • Design and build robust data pipelines that integrate data from diverse sources to support risk evaluation and business intelligence
  • Build streaming data pipelines using Kafka and AWS services to enable real-time data processing and decision-making
  • Create and operate data services that make curated datasets accessible to internal teams and external partners through APIs and scheduled deliveries
  • Support data science workflows by building infrastructure that enables model training, feature engineering, and production inference
  • Implement data quality frameworks including validation, monitoring, and alerting to maintain trust in our data assets
  • Contribute to CI/CD pipelines and infrastructure-as-code practices to ensure reliable, repeatable deployments
  • Deliver highly reliable services by following engineering best practices and participating in an on-call rotation to support production systems
  • Contribute to the data warehouse by creating well-modeled datasets in Snowflake that empower analysts and data scientists
  • Collaborate with data scientists, analysts, and business stakeholders to understand requirements and deliver solutions that drive value

Requirements

  • Bachelor's degree or equivalent relevant experience
  • 6-8 years of industry experience in data engineering or software engineering with a focus on data systems
  • Strong proficiency in Python and SQL for data pipeline development and analysis
  • Experience with AWS data platforms (Glue, S3, Athena, Lambda, Step Functions)
  • Familiarity with Snowflake or similar cloud data platforms
  • Familiarity with streaming technologies such as Kafka or Kinesis
  • Experience with workflow orchestration tools (Airflow, Step Functions, or similar)
  • Proficiency in infrastructure-as-code tools like Terraform
  • Understanding of data modeling principles
  • Excellent written and verbal communication with a strong collaborative focus
  • Experience with CI/CD tailored for machine learning systems (e.g., automating model training, validation, and deployment)
Benefits
  • We provide a wide variety of health, wellness and other benefits.These include medical, dental, vision, life insurance and supplemental income plans for you and your dependents
  • A Headspace app subscription
  • Monthly wellness allowance
  • A 401(k) Plan with a company match
  • Given our virtual environment—a one-time payment of $2K will be provided to cover the purchase of in-home office equipment and furniture
  • All employees accrue four weeks of PTO in their first year of employment
  • New parents receive twelve weeks of fully paid parental leave
  • We’re committed to investing in and helping our people grow personally and professionally
  • All employees receive up to $5000 each year for professional learning, continuing education and career development
  • All team members also receive LinkedIn Learning subscriptions and access to multiple different coaching opportunities through BetterUp

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLdata pipeline developmentdata modelingdata quality frameworksCI/CDinfrastructure-as-codefeature engineeringproduction inferencereal-time data processing
Soft skills
written communicationverbal communicationcollaborationproblem-solvingstakeholder engagement
Certifications
Bachelor's degree