aws-glue jobs in San Diego

Senior Staff Technical Data Analyst responsible for data exploration, quality assessment, and governance across Finance Technology initiatives, including AI/ML pipelines and SOX-compliant financial reporting. Design and build end-to-end BI solutions using SQL, Python, Qlik, Databricks, and Tableau while identifying where GenAI and agentic approaches can modernize financial controls, anomaly detection, and self-service analytics.…See more Partner with Finance stakeholders (FP&A, Accounting, Revenue) to translate business requirements into technical solutions, and mentor junior analysts on craft standards for data quality and documentation. Requires 10+ years in data analytics or BI supporting Finance, Accounting, or regulated compliance functions, with proven expertise in cloud data platforms, data governance frameworks, SOX controls, and active hands-on experience with generative AI tools.

Sr. Manager overseeing a data engineering team with responsibility for hiring, coaching, and performance management while remaining hands-on with architecture, design reviews, and technical decisions.…See more The role requires designing and operating production data pipelines and lakehouse platforms using AWS (S3, Glue, Athena, Lambda) and Snowflake, with hands-on proficiency in SQL and Python. Responsibilities include establishing data governance, compliance, security controls, CI/CD practices, and collaborating across engineering, analytics, product, and clinical teams to translate requirements into platform capabilities. The manager must balance delivery priorities, technical debt reduction, operational excellence, and emerging-technology evaluation while driving outcomes that affect broader business objectives.

VP-level Cloud Delivery Architect responsible for designing reliable, scalable, and secure AWS infrastructure solutions for LPL Financial. The role requires deep expertise in AWS services (Lambda, Glue, RDS, Step Functions, EC2, S3, ECS, EKS, etc.), infrastructure-as-code (Terraform), and cloud security/IAM to lead architecture design, perform systems analysis, and provide technical guidance to cross-functional teams.…See more Must balance fast-paced startup-like execution with formal change control, develop reference architectures, and mentor on best practices across on-premises and cloud environments.

Entry-level database administrator role focused on SQL development, ETL, and data management. Responsibilities include writing and optimizing SQL queries, designing and maintaining relational databases, performing data extraction and transformation, troubleshooting database issues, and supporting data-driven business decisions.…See more The role requires SQL proficiency, familiarity with relational databases (SQL Server, Oracle, MySQL, PostgreSQL), understanding of database concepts and normalization, and basic data analysis skills.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

Principal Data Platform Engineer responsible for designing and implementing cloud-native data integrations using AWS services (S3, Glue, Lambda) and Snowflake. Builds and maintains data transformation models using dbt, manages Snowflake platform infrastructure, and leads cross-functional collaboration between engineering, analytics, and business teams.…See more Requires 8+ years in data engineering or data platform roles with expert-level Python, SQL, dimensional modeling, and infrastructure-as-code expertise. Acts as a technical mentor and translates business requirements into data architecture priorities.

Senior Enterprise Applications Developer responsible for designing, delivering, and supporting complex enterprise software, integrations, data solutions, and automation across cloud and on-premises environments. Requires 7+ years of progressive experience with advanced Python proficiency, hands-on expertise in REST APIs, ETL/data pipelines, CI/CD practices, and AWS or Azure cloud-native development.…See more Must demonstrate ability to lead solution design from requirements through production support, with experience in workflow automation, AI/LLM integrations, and compliance frameworks (HIPAA, SOC 2, SOX). Strong emphasis on security, governance, architecture, and cross-functional collaboration with technical teams and business leaders.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

AI Architect role requires designing and delivering enterprise-scale AI/ML solutions on AWS, with 5–7 years of cloud experience and 2–3 years hands-on with LLMs, agentic frameworks, and AI/ML services. The position demands deep expertise in AWS AI services (Bedrock, SageMaker, Kendra), orchestration frameworks (LangChain, LangGraph), RAG pipelines, MLOps tooling, and responsible AI principles.…See more Candidates must architect scalable, cost-optimized solutions integrating AI with cloud infrastructure, data platforms, and microservices, and communicate complex technical concepts to executive and technical audiences.

Design and implement enterprise data architecture solutions across on-premises and cloud environments, including data models, pipelines, governance frameworks, and integration patterns. Develop data pipeline blueprints, entity relationship diagrams, and manage data warehousing, cataloging, and quality standards.…See more Serve as a subject-matter expert for data architecture across DoD analytics platforms, Microsoft 365, and hybrid cloud environments. Coordinate with government technical leads, platform teams, and data stakeholders while managing data governance, security accreditations, and administrative requirements.

Staff-level data engineer who designs, develops, and maintains scalable ETL/ELT pipelines using Databricks, PySpark, and Python for enterprise analytics and AI use cases. Builds curated data layers following Lakehouse Medallion architecture, develops Databricks-native applications (notebooks, dashboards, APIs), and optimizes Apache Spark workloads for performance and cost efficiency.…See more Owns production data pipelines end-to-end, ensures data quality and reliability, and acts as a technical leader mentoring teams on data engineering best practices and modern Databricks capabilities.

Design, develop, customize, and maintain websites built on the .NET framework in an AWS cloud environment. Gather requirements from users, write unit and integration tests, troubleshoot system-level issues independently, and create technical documentation.…See more Requires 3+ years of web development experience with .NET, C#, JavaScript, WebAPI.NET, HTML, CSS, GitHub, IIS, SQL/MySQL, and AWS services including Glue Jobs and S3.