Prolific

Prolific

Prolific is a platform that enables researchers to quickly find trustworthy research participants. With a pool of over 120,000 active and verified participants, Prolific ensures high-quality responses through continuous monitoring and engagement. The p...

Professional Services
51-250
Founded 1997
$0M raised

Description

  • Build and maintain data pipelines that power analytics, machine learning workloads, and product-facing applications.
  • Evolve the data platform with cloud platform engineers using infrastructure-as-code and Kubernetes-based deployments.
  • Design and implement scalable data infrastructure to support growing data volume and complexity.
  • Develop data services and APIs that expose trusted data to product applications.
  • Own data quality and observability through monitoring, testing, and alerting.
  • Partner with AI engineers, data scientists, analysts, and product teams to design effective data solutions.
  • Uphold data privacy, security, and compliance practices across all data systems.
  • Create and maintain comprehensive documentation for data flows, models, and systems.
  • Troubleshoot complex data issues and implement effective solutions.
  • Contribute independently on medium-sized features while supporting team objectives.

Requirements

  • 3+ years of experience building and shipping production-grade data systems.
  • Strong SQL skills.
  • Proficiency in Python or another object-oriented language such as Java or Scala.
  • Familiarity with cloud-native infrastructure and comfort working in cloud-native environments.
  • Exposure to Terraform, Kubernetes, or similar infrastructure-as-code and container orchestration tools.
  • Experience designing data APIs or services, or a strong interest in working across analytical and operational systems.
  • Hands-on experience with data pipeline tools such as Airflow and dbt.
  • Strong focus on data quality, privacy, and security.
  • Strong collaboration skills for working across engineering, data science, AI, and product teams.
  • Pragmatic, curious mindset with a desire to keep up with data engineering practices and technologies.

Benefits

  • Competitive salary.
  • Benefits package.
  • Remote working.
  • Mission-driven culture.
  • Access to a unique human data platform.
  • Opportunities for groundbreaking research.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Sr. Data Engineer II (6682)

MetroStar 251-1K IT Services

MetroStar is hiring a Sr. Data Engineer II to work with a cross-functional team supporting mission operations for a classified customer by designing and operationalizing data and AI/ML pipelines.

AWS Databricks Kafka Python Snowflake SQL
3 hours, 18 minutes ago

Product Data Engineer

Anduril Industries 1K-5K Aerospace & Defense

Anduril Industries is hiring a Product Data Engineer to support configuration management across complex defense programs, maintaining accurate product data from requirements through manufacturing and sustainment.

Confluence JIRA
3 hours, 18 minutes ago

Sr. Data Ops Engineer

Samsara 1K-5K IT Services

Samsara is hiring a remote Data Operations Engineer in Canada to own the reliability and performance of its production data platform supporting integrations, pipelines, APIs, and data warehousing for business-critical analytics.

Agile AWS Azure CI/CD Databricks Datadog dbt GCP MySQL Oracle PostgreSQL Python Snowflake Splunk SQL
3 hours, 33 minutes ago

Data Engineer

Kitman Labs 11-50 Internet Software & Services

Kitman Labs is hiring a Mid-Level Data Engineer to help build and evolve its GCP-based data platform supporting analytics, reporting, and machine learning workflows for sports performance data.

Apache Airflow AWS CI/CD dbt Docker GCP Git Looker MLflow MLOps Python Scikit-learn SQL Vertex AI
3 hours, 48 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers