Top Entry Level Data Engineer Jobs

Entry-level Data Engineer responsible for building and maintaining cloud-based data assets and pipelines, improving data quality and automation, investigating data integrity issues, and collaborating with architects, analysts, and stakeholders. Uses SQL and Python, participates in Agile practices, leverages AI-powered developer tools for spec-driven development, and follows responsible AI and data privacy practices.

Develop and design data pipelines, optimize data delivery and automate processes to support end-to-end solutions in various settings.

The role involves structuring and ingesting customer data, setting up ETL pipelines, and providing solutions for data export and import.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Integrate data for analytics and Data Science, optimize Hadoop/HDFS processes, develop data marts and models, ensure data quality and accessibility, and evaluate/adopt tooling for real-time and offline processing.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

This role offers training for aspiring Data Engineers, focusing on technology of choice, interview preparation, and skill enhancement with guidance on OPT STEM extension.

Design, build and maintain large-scale data structures, ETL pipelines, and data marts. Integrate data sources, ensure data quality, support analytics and Data Science teams, and optimize Hadoop/cloud-based processing using tools like Spark, Airflow, and Kafka.

Build and manage large-scale data structures, ETL pipelines, and data marts; design database systems and distributed computing architectures; integrate data for analytics and productionize ML/NLP models; collaborate with Data Science, ensure data quality, optimize queries, and troubleshoot systems.

Develop and maintain large-scale data structures, ETL pipelines, and data models; integrate data science models into automated workflows; optimize Hadoop/Spark processing; ensure data quality and accessibility; collaborate with stakeholders to support analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, and data architectures for real-time and batch analytics. Collaborate with Data Science to integrate models, ensure data quality, optimize queries, and deploy ML systems in cloud environments. Troubleshoot, test, and recommend tools to meet business reporting and analytic needs.

Entry-level rotational Data Engineer role focused on SQL-based development, ETL (SSIS), data validation, profiling, performance tuning, and BI reporting. Work with Salesforce/Marketing Cloud integrations, develop and review SQL code, participate in SDLC, client meetings, testing, and cross-team deployments to produce reliable enterprise data solutions.

Build, maintain, and optimize data infrastructure and ETL pipelines; integrate data sources; ensure efficient, secure data collection and processing; implement quality control, documentation, and monitoring; support analytics and data science needs.

The job involves leveraging AWS and Snowflake for data engineering tasks within a technology-focused company, requiring US residency.

Design, implement, and administer operational data flows: ingest, clean, enrich, transform, secure, and move mission-critical data. Perform exploratory data analysis, troubleshooting, and collaborate with customers to ensure compliant, reliable data pipelines.

Build and maintain data marts, materialized views, and pipelines in an AWS Aurora PostgreSQL environment. Integrate data with downstream BI platforms (MicroStrategy), design/optimize workflows for analytics and reporting, monitor pipeline health and data quality, and support federal data security compliance (FISMA/NIST 800-53). Collaborate with engineering and product teams to enable data-driven features.

Join Cox Automotive as an entry-level Data Engineer to build, maintain, and improve cloud-based data pipelines and assets. Work with SQL and Python, use AI-powered coding assistants, support data quality and integrity, participate in Agile development, and gain exposure to Snowflake and AWS AI services.

As a Data Engineer I, you'll build and maintain data pipelines for climate and weather datasets, working closely with senior engineers and contributing to design discussions and documentation.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

The AWS Data Engineer will work on a data cleansing and harmonization project, focusing on AWS ETL design and development using various AWS services.

The DMS Data Engineer is responsible for analyzing raw data, building data systems and pipelines, conducting complex data analyses, and collaborating on projects to enhance data quality and reliability.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

The Data Engineer will develop cloud-based data pipelines, collaborate with clients on data architecture, and utilize engineering best practices to provide effective data solutions.

The Data Engineer will develop data pipelines and solutions on cloud platforms, advise clients, collaborate with users, and ensure effective data architecture.

The Data Engineer will develop data pipelines, collaborate with clients, advise on cloud technologies, and solve complex data problems.

Data Engineers at CapTech build and maintain data pipelines on cloud platforms, advise clients on technology usage, and ensure data architecture maximizes client value.