Data Engineer Jobs in Long Beach, CA

The Senior Data Engineer will build and maintain scalable data platforms and pipelines, lead a team, and collaborate across functions to optimize data workflows and decision-making.

The Principal Data Engineer will bridge data engineering, data science, and business intelligence, building ETL/ELT processes and scalable data pipelines while ensuring data quality and security.

Design and maintain scalable data pipelines and models, automate workflows, mentor engineers, and ensure data quality for player insights.

As a Software Engineer for Data at Whatnot, you'll develop scalable data services, drive innovation, and ensure system performance while collaborating cross-functionally on data integration.

Lead a team of quality engineers to develop analytics processes for quality management, improving data architecture, and analyzing complex data issues.

The Data Engineer will build and maintain the data pipeline, manage data quality, and enable self-serve analytics for various departments. Responsibilities include designing schemas, ingesting data, and collaborating with stakeholders to create and scale the data platform.

As an Engineer II, you will design, develop, and support big data applications, manage day-to-day operations, troubleshoot data issues, and implement data services using technologies like Hadoop and Spark.

The C&DH Engineer will define subsystem architectures, manage hardware selection, conduct analyses, and resolve technical issues for space vehicles.

The Sr. Data Engineer designs and maintains scalable ETL/ELT pipelines, supports processes, defines data models, and mentors junior team members.

The Big Data Systems Engineer will deploy and integrate the CHEETAS system in DoD environments, collaborate with technical teams, and resolve deployment issues.

The Sr. Data Engineer designs, implements, and maintains scalable ETL/ELT data pipelines, collaborates with teams, ensures data integrity, and coaches junior members.

The Data Engineer will enhance data initiatives by developing and maintaining data pipelines, collaborating with stakeholders, and ensuring data governance and quality.

As a Staff Data/AI Engineer, you will design and develop data pipelines and machine learning infrastructure for biopharma, optimize data stores, and apply AI techniques to enhance knowledge retrieval.

The Staff Data Engineer will architect and operate the Databricks lakehouse, managing data ingestion, governance, and analytics collaboration with cross-functional teams.

Collaborate with cross-functional teams to develop solutions in Big Data and Business Intelligence, focusing on modern Java development and software architecture.

As a Field Deployment Engineer, you'll integrate customer systems with SYNC, managing data extraction, transformation, and API-driven integrations while ensuring data integrity and compliance.

The Data Visualization Engineer will develop and maintain dashboards for mission management, ensuring integration and transparency in program operations with a focus on data-driven collaboration.

The Lead Data Engineer will create data solutions and pipelines, ensuring quality and governance while collaborating with teams on technology advancements.

Develop and maintain internal web-based tools for client telemetry and logging by collaborating with cross-functional teams and ensuring data integrity.

As a Senior Data Engineer, you'll design and maintain data systems, create capabilities from raw data, and collaborate with teams to enhance product offerings, focusing on scalability and reliability.

The Lead Data Engineer is responsible for designing, developing, and maintaining ETL pipelines to manage financial data, ensuring compliance and business intelligence.

As a Software Engineer on the data platform team, you will develop and manage applications for data aggregation, storage, and pipeline building while collaborating with cross-functional teams to implement solutions for automated manufacturing.

Lead software systems engineer responsible for power management solutions for data centers, focusing on technology leadership, efficiency improvement, and AI integration.

The Staff DataOps Engineer applies DevOps principles to data platforms, automating pipelines, leading initiatives to improve data system reliability and scalability, and mentoring teams.

The BI Lead will architect and build a centralized data lake, implement ingestion frameworks, and develop advanced attribution models, while ensuring analytics excellence across the company.