tvScientific

Staff Data Engineer

tvScientific

full-time

Posted on:

Location Type: Remote

Location: United States

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Lead

Tech Stack

AWSCloudScalaSparkSQL

About the role

  • Design and implement robust data infrastructure in AWS, using Spark with Scala
  • Evolve our core data pipelines to efficiently scale for our massive growth
  • Store data in optimal engines and formats, matching your designs to our performance needs and cost factors
  • Collaborate with our cross-functional teams to design data solutions that meet business needs
  • Design and implement knowledge graphs, exposing their functionality both via Batch Processing and APIs
  • Leverage and optimize AWS resources while designing for scale
  • Collaborate closely with our Data Science and Product teams

Requirements

  • Minimum of 8 years of full-time experience in data engineering
  • Proven experience building data infrastructure using Spark with Scala for at least 5 years
  • Experience in delivering significant technical initiatives and building reliable, large scale services
  • Experience in delivering APIs backed by relationship-heavy datasets
  • Familiarity with data lakes, cloud warehouses, and storage formats
  • Strong proficiency in AWS services
  • Expertise in SQL for data manipulation and extraction
  • Excellent written and verbal communication skills
  • Bachelor's degree in Computer Science or a related field
Benefits
  • 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
Applicant Tracking System Keywords

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

Hard Skills & Tools
data engineeringAWSSparkScalaAPIsSQLdata lakescloud warehousesdata manipulationbatch processing
Soft Skills
communicationcollaboration
Certifications
Bachelor's degree in Computer Science