This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Cloud Data Platform Administrator is the hands-on technical resource responsible for implementing, securing, and operating the Enterprise Data Platform (EDP). This role owns end-to-end platform operations, security configuration, governance enablement, and cost control—ensuring the environment is compliant, reliable, and optimized for secure analytics and AI/ML workloads at scale. - Implement, secure, and operate AWS-based data platform environments - Provision and administer AWS GovCloud infrastructure (networking, compute, storage, IAM, monitoring) - Implement secure-by-default configurations aligned to agency security baselines - Establish monitoring, alerting, dashboards, and operational health checks - Maintain runbooks, documentation, and operational procedures - Configure audit logging and access visibility (CloudTrail, CloudWatch) - Support compliance evidence collection and security reviews - Coordinate secure networking (PrivateLink, VPC, egress controls, firewall/proxy integration) - Implement cost guardrails (auto-termination, cluster policies, scheduling, workload sizing) - Produce cost optimization insights and capacity planning forecasts - Automate platform configuration using Terraform, CLI, and REST APIs - Manage CI/CD promotion across SDLC environments - Support change control for upgrades, configuration updates, and integrations - Build and manage POC environments with repeatable and controlled provisioning - Manage third-party integrations including BI tools (e.g., Power BI) - Facilitate user onboarding, workspace provisioning, and enablement documentation Qualifications - Bachelor’s degree in related field or equivalent practical experience - 3+ years building AWS infrastructure using Terraform - 3+ years building CI/CD pipelines (Azure DevOps or GitLab preferred) - Strong AWS expertise: - IAM roles & policies - S3 security & bucket policies - KMS encryption key management - VPC networking concepts - CloudWatch & CloudTrail integration - PrivateLink - Secrets Manager / Systems Manager - Cross-account access patterns - Identity & Access Management: - SSO concepts - SCIM provisioning - Group-based RBAC - Service principals - Least-privilege patterns - Security fundamentals: - Secrets management - Secure connectivity - Audit logging - Access monitoring - Automation & Infrastructure as Code (Terraform, CLI, REST APIs) - Strong troubleshooting and incident communication skills Requirements - SQL proficiency & data engineering fundamentals - ETL/ELT workflow understanding - Python or Scala familiarity - Experience with compliance frameworks: - FedRAMP - HIPAA - SOC2 - SLA/SLO and incident management experience - Vendor management experience (e.g., Databricks account teams) - AWS Certified Solutions Architect (Associate or Professional)

• Design and operate batch and streaming data pipelines. • Architect and evolve data storage layers (lake, analytical, operational). • Develop scalable data models for analytics, ML, and operational systems. • Ensure data quality, consistency, and observability across pipelines. • Implement real-time processing using event-driven architectures. • Build ingestion and transformation workflows (ETL/ELT). • Own backfills, reprocessing strategies, and data migrations. • Implement CI/CD, monitoring, and SLA-driven operational practices. • Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions. • Contribute to data platform standards and best practices.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. - 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 - Collaborate with our cross-functional teams to design data solutions that meet business needs - Built out fault-tolerant batch and streaming pipelines - Leverage and optimize AWS resources while designing for scale - Collaborate closely with our Data Science and Product teams Qualifications - Production data engineering experience - Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala - 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 Requirements - Experience in adtech - Experience implementing data governance practices, including data quality, metadata management, and access controls - Strong understanding of privacy-by-design principles and handling of sensitive or regulated data - Familiarity with data table formats like Apache Iceberg, Delta Benefits Information regarding the culture at Pinterest and benefits available for this position can be found here . Company Description tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Staff Data Engineer at tvScientific, you will be a key player in implementing the robust data infrastructure to power our data-heavy company. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. - 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 Qualifications - Production data engineering experience - Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala - 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 Requirements - Experience in adtech - Experience implementing data governance practices, including data quality, metadata management, and access controls - Strong understanding of privacy-by-design principles and handling of sensitive or regulated data - Familiarity with data table formats like Apache Iceberg, Delta - Previous experience building out a Data Engineering function - Proven experience working closely with Data Science teams on machine learning pipelines In-Office Requirement Statement We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. Salary Information At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. US based applicants only $155,584 — $320,320 USD