Top Tech Jobs & Startup Jobs

Drive statistical modeling and algorithmic validation for Meridian marketing mix modeling frameworks. Build heuristic and time-series models, ingest structured client data, develop multi-objective spend recommendations, query AWS Athena and PostgreSQL using Python and advanced SQL, validate AI-assisted transformations, and collaborate with engineering teams to resolve pipeline dependencies while protecting analytical rigor.

Engineer and manage Python-based data ingestion workflows and pipelines, integrating downstream systems such as ServiceNow. Use Snowflake for data storage and optimization, OpenTelemetry for observability, and SQL for data manipulation, validation, and integrity checks. Troubleshoot pipeline failures and bottlenecks while supporting reliable, automated data flows. Nice-to-have experience includes orchestration tools, ITSM/ITIL practices, and CI/CD pipelines for data products.

Build and operate batch and streaming pipelines on Databricks using PySpark, Delta Lake, and Workflows. Modernize legacy ETL and warehouse workloads into governed medallion Lakehouse architecture. Develop tested Python and SQL, optimize Spark and Delta performance, implement data quality and governance with Unity Catalog, and troubleshoot production incidents. Collaborate with DevOps, platform, and analytics teams on observability, security, and compliance.

Build, automate, and manage Python-based data ingestion workflows and pipelines. Integrate data with ServiceNow and downstream systems, using Snowflake for storage and optimization, OpenTelemetry for observability, and SQL for validation and manipulation. Troubleshoot pipeline failures, maintain data integrity, and optimize data flow. The role also involves potential use of orchestration tools, ITSM practices, and CI/CD pipelines for data products.

Own and build an enterprise AI collaboration platform spanning Slack, Google Workspace, Glean, Claude, and ChatGPT. Develop production AI agents, integrations, APIs, connectors, webhooks, and RAG solutions while enforcing permissions, security, governance, and quality standards. Administer and troubleshoot platform integrations, establish development and deployment practices, evaluate emerging AI capabilities, lead technical reviews, mentor contributors, and serve as the senior technical escalation point.

Owns BI product strategy for Quote-to-Cash and Order-to-Cash financial processes. Identifies operational friction and translates it into BI, AI, and machine-learning opportunities. Creates PRDs, roadmaps, and functional requirements while partnering with finance, sales, legal, product, delivery, and engineering teams. Ensures quoting, deal structuring, billing, revenue recognition, and related data flows are accurately represented in downstream data products and dashboards.

Build and manage Python-based data ingestion workflows and pipelines, integrate data with ServiceNow and downstream systems, and use Snowflake, OpenTelemetry, and SQL for storage, observability, validation, and optimization. Troubleshoot pipeline failures, maintain data integrity, and support reliable automated data flows. The role also values orchestration tools, ITSM and ITIL knowledge, and CI/CD experience for data products.

Develop and extend an internal developer portal with a Java backend and TypeScript frontend. Integrate Snowflake, relational, and non-relational databases; design RESTful APIs; support a potential frontend rewrite; and ensure quality through testing, code reviews, and performance profiling.

Develop Python automation scripts integrating SAST, DAST, and SCA security gates into CI/CD pipelines. Tune security scanning tools to reduce false positives, deploy hardened baselines and secure coding patterns, and provide Java- and Python-level remediation guidance. Work with development teams on complex scripting and integration tasks with minimal supervision.

Build production-grade agentic AI systems that analyze infrastructure discovery logs, correlate failures, identify root causes, recommend fixes, and generate guarded corrections. Develop Python services, REST APIs, data-processing pipelines, telemetry integrations, and Gen AI capabilities using RAG and vector databases. Apply software development lifecycle practices, CI/CD, automated testing, security scanning, release management, and deployment automation.