LatentView Analytics ยท 1 week ago
Senior Data Engineer
California, United States
Full-time
Onsite
Senior Level
$130K/yr - $150K/yrLatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation. They are seeking a Senior Data Engineer to design, build, and optimize scalable data solutions that empower B2B operations, working closely with stakeholders to transform raw data into actionable insights.
AnalyticsBig DataConsultingMachine Learning
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and cloud-native tools
Ingest and process structured, semi-structured, and unstructured data from multiple B2B sources (APIs, CRM, ERP, partner feeds)
Optimize pipelines for performance, reliability, and cost efficiency in large-scale B2B environments
Partner with business stakeholders to translate B2B requirements into technical solutions
Work closely with data scientists and analysts to enable advanced analytics and machine learning use cases
Provide technical guidance to cross-functional teams on Databricks best practices
Strong background managing marketing technology and marketing automation. Experience rolling out new MarTech is a plus
Certified Marketo expertise: Experience with hands-on administration, configuration and production in Marketo
Knowledge of Salesforce or Dynamics and other marketing automation point solution integrations
Design, develop, automate, and maintain RESTful and GraphQL APIs to support secure and scalable internal and external system integrations
Collaborate with engineering and product teams to gather data and integration requirements, delivering robust solutions aligned with business needs
Build and optimize cloud-native data pipelines and ETL processes for ingesting and transforming data from diverse sources
Ensure data consistency, reliability, and performance across integrated systems to support analytics and operational workflows
Implement comprehensive monitoring, logging, and alerting for all integration services to ensure high availability and rapid issue resolution
Document integration workflows, API specifications, and engineering processes to promote maintainability, scalability, and cross-team knowledge sharing
Qualification
Required
Strong expertise in Databricks
Strong expertise in cloud data platforms (Azure/AWS/GCP)
Strong expertise in modern data engineering practices
Experience designing, developing, and maintaining scalable ETL/ELT pipelines using Databricks and cloud-native tools
Experience ingesting and processing structured, semi-structured, and unstructured data from multiple B2B sources (APIs, CRM, ERP, partner feeds)
Experience optimizing pipelines for performance, reliability, and cost efficiency in large-scale B2B environments
Ability to partner with business stakeholders to translate B2B requirements into technical solutions
Experience working closely with data scientists and analysts to enable advanced analytics and machine learning use cases
Ability to provide technical guidance to cross-functional teams on Databricks best practices
Experience designing, developing, automating, and maintaining RESTful and GraphQL APIs to support secure and scalable internal and external system integrations
Ability to collaborate with engineering and product teams to gather data and integration requirements, delivering robust solutions aligned with business needs
Experience building and optimizing cloud-native data pipelines and ETL processes for ingesting and transforming data from diverse sources
Ability to ensure data consistency, reliability, and performance across integrated systems to support analytics and operational workflows
Experience implementing comprehensive monitoring, logging, and alerting for all integration services to ensure high availability and rapid issue resolution
Ability to document integration workflows, API specifications, and engineering processes to promote maintainability, scalability, and cross-team knowledge sharing
Preferred
Strong background managing marketing technology and marketing automation
Experience rolling out new MarTech
Certified Marketo expertise: Experience with hands-on administration, configuration and production in Marketo
Knowledge of Salesforce or Dynamics and other marketing automation point solution integrations
Company
LatentView Analytics
LatentView Analytics is a predictive analytics and enterprise decision management services firm.
Founded in 2006
1001-5000 employees
H1B Sponsorship
LatentView Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (116)
2024 (83)
2023 (70)
2022 (67)
2021 (62)
2020 (88)
Funding
Current Stage
Public CompanyTotal Funding
unknown2021-11-23IPO
Leadership Team
Rajan Sethuraman
CEO
Pramad Jandhyala
Co-Founder & Director
Recent News
Hindu Business Line
2025-10-25
Company data provided by crunchbase