Dotdash Meredith

Data Engineer

Dotdash Meredith

full-time

Posted on:

Location Type: Hybrid

Location: New York City • Alabama, California, Illinois, Iowa, New York • 🇺🇸 United States

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Salary

💰 $130,000 - $160,000 per year

Job Level

Mid-LevelSenior

Tech Stack

ApacheAWSCloudGoogle Cloud PlatformKafkaPythonSQL

About the role

  • help build data integration pipelines that feed into our data lakes and warehouses
  • maintain data quality and integrity in our data stores
  • collaborate effectively but can also work independently
  • work closely with key stakeholders and understand and implement business requirements
  • develop Looker Views and Models to democratize access to data products
  • keep up with new technologies and approaches to solve problems and improve existing systems

Requirements

  • Bachelor's Degree preferred in a quantitative field, such as computer science, statistics, mathematics, engineering, data science, or equivalent experience
  • 5+ years of experience in building and optimizing data pipelines with Python
  • experience writing complex SQL queries to analyze data
  • experience with at least one cloud service platform (GCP and AWS preferred)
  • familiarity with data streaming architectures using technologies like Pub/Sub and Apache Kafka
Benefits
  • medical, dental, vision, prescription drug coverage
  • unlimited paid time off (PTO)
  • adoption or surrogate assistance
  • donation matching
  • tuition reimbursement
  • basic life insurance
  • basic accidental death & dismemberment
  • supplemental life insurance
  • supplemental accident insurance
  • commuter benefits
  • short term and long term disability
  • health savings and flexible spending accounts
  • family care benefits
  • a generous 401K savings plan with a company match program
  • 10-12 paid holidays annually
  • generous paid parental leave (birthing and non-birthing parents)
  • voluntary benefits such as pet insurance, accident, critical and hospital indemnity health insurance coverage, life and disability insurance

Applicant Tracking System Keywords

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

Hard skills
data integrationdata pipelinesdata qualitydata integrityPythonSQLcloud service platformGCPAWSdata streaming architectures
Soft skills
collaborationindependencestakeholder engagementbusiness requirements understanding
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