etl jobs in San Diego

Design, develop, and integrate Python-based software applications, data pipelines, REST APIs, and user interfaces for defense/mission-critical systems. Work directly with customers to translate operational requirements into technical solutions, support hardware integration and testing, and maintain comprehensive engineering documentation.…See more The role requires proficiency in Python, Git, Linux, and REST API design, with experience testing and debugging multi-component systems. Candidates should be comfortable presenting technical concepts to customers and collaborating within small engineering teams across the full software-development lifecycle.

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.

Senior Full-Stack Software Engineer responsible for designing and maintaining end-to-end web applications powering Clairyon's clinical AI platform. The role requires building production-grade machine learning integrations, secure APIs for real-time clinical and sensor data ingestion, and optimized data pipelines and model-serving infrastructure.…See more The engineer will collaborate with data scientists, clinicians, and product teams to translate research models into scalable software solutions, with daily tasks including code reviews, testing, documentation, and architectural contributions. Required expertise spans full-stack development (Python, TypeScript, JavaScript), cloud platforms (AWS), containerization (Docker, Kubernetes), AI agents and RAG architectures (LangChain, DSPy), healthcare data standards (HL7 FHIR), and healthcare compliance (HIPAA).

Design, build, and own backend services that ingest, process, and store real-time and historical vehicle telemetry at fleet scale for autonomous maritime vessels. Architect APIs exposing vehicle and mission data to internal tools and customer integrations, with focus on reliability and low latency.…See more Design data models and storage strategies for high-volume time-series and geospatial data, and improve scalability, observability, and reliability of existing backend systems as fleet size grows. Requires 8+ years backend engineering experience, strong proficiency in Python or Go, deep REST/streaming API design experience, relational database expertise (PostgreSQL preferred), and distributed systems knowledge.

Senior Data Engineer responsible for designing and implementing cloud data platforms (Databricks, Snowflake, BigQuery) and enterprise-scale data warehouses using Medallion Architecture. Will develop scalable ETL pipelines, optimize Spark jobs, integrate ML models into data workflows, and implement data governance and lineage tracking.…See more The role requires hands-on expertise in Python, PySpark, SQL, and AWS services, plus experience with AI/ML integration, DevOps practices (Terraform, CI/CD), and mentoring junior engineers and analysts.

Principal Database Architect responsible for administering, architecting, and optimizing enterprise Microsoft SQL Server database platforms across production, development, test, and disaster recovery environments at scale. The role involves designing highly available and secure database architectures, managing ETL/SSIS workflows, performance tuning, backup/recovery, replication, and disaster recovery processes.…See more Requires 10+ years of SQL Server administration in complex enterprise environments, strong T-SQL and data modeling expertise, and experience with reporting platforms (SSRS, SSAS, Power BI). Will partner with software engineering, QA, and infrastructure teams to support application requirements and evaluate emerging database technologies.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices, mentor engineers in PySpark, SQL, dbt, Fivetran, and cloud-native development, and design scalable data infrastructure across GCP, Azure, and AWS cloud data warehouses (BigQuery, Snowflake, Databricks). Manage technical delivery, collaborate across enterprise teams to develop end-to-end data solutions, and align data initiatives with business goals while remaining current on industry trends.See more

Senior architect responsible for designing and leading enterprise-scale data platforms on Databricks and AWS, including cloud modernization, data migration, and lakehouse architecture. Requires deep expertise in PySpark, advanced SQL, Delta Lake, and data warehousing patterns, with accountability for technical strategy, solution design, and mentoring engineering teams.…See more Will drive CI/CD practices, data governance frameworks, data quality standards, and technical decision-making across complex data infrastructure initiatives. Expected to engage senior stakeholders, manage client relationships, and champion AI-powered engineering tools for productivity and automation.

SAIC seeks a Principal Software Engineer to design, build, and deploy streaming data platforms and machine-learning systems for government clients. The role involves full-stack development (Python, Java, JavaScript), Kubernetes deployment, ETL pipeline design, and close client collaboration on implementation and technical documentation.…See more Requires 7–9 years of experience, U.S. citizenship, and ability to obtain TS/SCI clearance; must work on-site 3 days/week in San Diego.

SAIC seeks a Principal Software Engineer to design and deploy streaming data platforms and machine-learning systems for defense/mission clients. You will perform full-stack development (Python, Java, JavaScript) with cloud deployment on Kubernetes, collaborate on client requirements, and lead technical implementation of data pipelines and ETL workflows.…See more The role requires 9+ years of software engineering experience, a current Secret clearance with ability to obtain TS/SCI, and hands-on expertise in cloud platforms (AWS/Azure), databases (SQL, PostgreSQL, MongoDB), and Linux/shell scripting.

Staff Data Engineer to architect and build fault-tolerant, scalable big-data platforms supporting high-velocity analytics use cases across Intuit. Responsibilities include designing data normalization, lineage, governance, and discoverability systems; collaborating with product and engineering teams on extensible platform design; and enabling analytics and GenAI/ML initiatives.…See more Requires 8+ years in product/web analytics, advanced SQL and big-data technologies (Redshift, Spark, Hive, BigQuery), Python or Java/Scala, and data pipeline orchestration experience. Role includes code reviews, CI/CD process ownership, mentorship, and translating business strategy into data-driven insights.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Implement IoT integrations, digital lab twins, telemetry systems, and maintain integrations across automation schedulers, LIMS, and data platforms using DevOps best practices and cloud solutions. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience (or equivalent M.S./B.S. with 10+/13+ years respectively), strong proficiency in Python, SQL, and JavaScript, and experience with lab digitalization and autonomous systems.

Principal Database Architect responsible for administering, optimizing, and architecting enterprise SQL Server database platforms across production, development, test, and disaster recovery environments. Will monitor performance, manage backups/restores/migrations, develop and optimize SSIS packages for ETL and data integration, review database designs, and partner with engineering, QA, and infrastructure teams to ensure reliability, scalability, and security.…See more Requires 10+ years of Microsoft SQL Server administration in complex enterprise environments, strong T-SQL and relational database expertise, and hands-on experience with performance tuning, HA/DR, replication, and SSIS workflows.

Design, build, and maintain secure enterprise data platforms supporting AI/ML workloads, with responsibility for database optimization, CI/CD automation, and DoD compliance. Mentor junior engineers and provide technical leadership on architecture decisions.…See more Implement security controls aligned with NIST 800-53, RMF, and DISA STIG standards throughout the platform lifecycle. Develop ETL/ELT pipelines, support data lakes and lakehouses, and evaluate emerging data technologies for mission fit.

As a Staff Data Engineer on Dexcom's Commercial Data Science & Revenue Operations team, you will design and operate the company's commercial data platform on AWS, building pipelines that ingest from 12+ vendor sources, transform data, and deliver analytics-ready datasets to data scientists, analysts, and 300+ field representatives. You will own AWS-native development using Lambda, Glue, CDK, Step Functions, and Redshift, with responsibility for data quality frameworks, alerting systems, warehouse schema design, and governance compliance.…See more The role requires hands-on proficiency in Python, SQL, AWS architectures, and CI/CD practices, along with experience building observability infrastructure and working with healthcare compliance requirements like HIPAA. You will also mentor team members and partner with business stakeholders to translate data capabilities into strategy.

This role combines software engineering leadership with lab automation integration and early-stage AI prototyping. You will own the translation layer between high-level workflow logic and low-level instrument control, deploy and maintain containerized services using Docker and Kubernetes with CI/CD practices, and build scalable Python applications connecting experimental readouts with downstream analysis tools.…See more You'll collaborate on incorporating AI-driven decision-making into automation workflows, mentor the automation engineering team, and help shape the technical roadmap for autonomous discovery systems.

This role develops and maintains data integration solutions at Constellation Energy, focusing on ETL processes, data modeling, and analytics platforms. The developer will extract, integrate, and transform data from diverse sources using SSIS, SQL Server, Power BI, and APIs; design and optimize relational and dimensional databases; and participate in DevOps/CI/CD workflows.…See more The position requires 3+ years of hands-on experience with Power BI, DAX, T-SQL, SSIS, API development, and SQL query optimization, along with a technical degree or equivalent.

The Applied AI Engineer develops, deploys, and maintains generative AI solutions for insurance products and customer experiences. Responsibilities include implementing end-to-end AI/ML pipelines using AWS services (SageMaker, Lambda, ECS/EKS), feature engineering with Snowflake, model fine-tuning and testing, and monitoring production performance.…See more The role requires 3+ years of AI/ML experience with 1–2 years in generative AI or LLMs, hands-on cloud deployment experience, and proficiency in Python, PyTorch, TensorFlow, or Hugging Face Transformers.

Lead the modernization of legacy SSIS/SSRS data systems into cloud-native Lakehouse pipelines using Databricks, dbt, Fivetran, and Airflow. Design standardized frameworks for ingestion, transformation, and consumption layers while driving CI/CD, observability, and engineering best practices across Azure and GCP.…See more Evaluate emerging technologies (Delta Live Tables, Iceberg, streaming ingestion) through POCs and POVs, and leverage AI-assisted tools (Databricks Assistant, Cursor AI, GitHub Copilot) to accelerate development and reduce technical debt. Provide technical guidance to the team and translate business requirements into scalable data solutions.

This contract role involves designing and maintaining clinical data pipelines that ingest, transform, and validate healthcare datasets while ensuring HIPAA compliance and data quality. The engineer will collaborate with clinical and analytics teams to understand data requirements, implement quality checks, manage data lineage for audit purposes, and prepare optimized datasets for reporting and statistical analysis.…See more The position requires 5–10 years of data engineering or clinical data management experience, strong SQL proficiency, expertise in data quality validation, and familiarity with regulated healthcare environments.

Enterprise Data & Analytics Architect responsible for designing and developing SQL Server databases, data warehouses, and ETL pipelines using SSIS/Azure Data Factory. The role requires 8–10 years of experience in OLAP/OLTP environments, expert SQL Server knowledge, and proficiency in enterprise reporting (SSRS, Power BI).…See more Candidates will oversee data engineering, BI development, and data science initiatives; mentor developers; and maintain compliance with company policies and federal regulations.

Lead a Data Engineering team to establish modern DataOps and CI/CD practices while providing technical mentorship in PySpark, SQL, dbt, and Fivetran. Design and optimize scalable, reliable data infrastructure across cloud and on-premise ecosystems (AWS, GCP, Azure) using Databricks, BigQuery, and Snowflake.…See more Manage end-to-end data sourcing, processing, integration, and delivery projects to meet business objectives and predetermined success criteria. Require 10+ years managing Data Engineering teams and 7+ years working with cloud-native data platforms and advanced SQL/Python/PySpark expertise.

Lead a data engineering team responsible for building scalable data pipelines, trusted datasets, and reusable data products powering analytics, experimentation, and AI across Scribd. This role blends technical leadership with hands-on architecture guidance; you'll establish engineering standards, drive design reviews, mentor engineers, and partner cross-functionally to translate business needs into production-grade data solutions.…See more Requires 10+ years in data engineering or data platforms, 3+ years leading engineering teams, deep expertise in dimensional modeling and scalable data architectures, and strong SQL plus Python/Scala skills. You'll work with modern cloud data platforms like Databricks, Snowflake, and BigQuery, and distributed processing frameworks like Spark.

SAIC seeks a System Administrator for expeditionary systems integration, focusing on AI capabilities across sensor kits, unmanned systems, command-and-control, and TAK platforms. The role involves hands-on troubleshooting of network connectivity and OS updates on Linux edge servers, testing machine learning capabilities in field experiments, and collaborating with ML engineers and data engineers to integrate and monitor tactical data pipelines.…See more Responsibilities include building tactical systems for exercises, ensuring performant data flow between sensors and C2 systems, and working with software engineers to connect data infrastructure to operational systems. Required: 2+ years in system administration, data engineering, ML engineering, or related roles; intermediate Linux command-line proficiency; experience with edge servers, containerization (Docker/Kubernetes), and tactical system troubleshooting.

RIVO is seeking a Senior Data Platform Engineer to architect and build a modern enterprise data platform supporting analytics, machine learning, and near real-time processing. You will design the foundational data warehouse or lakehouse architecture, modernize legacy ETL processes, implement CDC-based ingestion and low-latency pipelines, and establish data quality and governance frameworks.…See more This role requires 8+ years of data warehousing or platform engineering experience, expertise in cloud platforms (Snowflake, Databricks, Azure), SQL and Python proficiency, and the ability to support both analytics and data science workloads at enterprise scale.