Entry-Level Data Engineer Jobs

The US market for entry-level Data Engineer positions currently holds 119 open roles, with hiring managers prioritizing candidates who can handle foundational data tasks amid steady demand across sectors like healthcare, finance, and consulting. Employers such as Abacus Insights, with three openings focused on data integration, capitalrx seeking two roles in pharmaceutical data flows, and Booz Allen Hamilton offering two positions in government-related analytics, lead the volume, signaling opportunities for recent graduates or those with under two years of experience to break in. Hiring processes typically involve initial screens assessing technical aptitude through coding challenges and basic project walkthroughs, followed by interviews probing practical application of core tools. To position yourself strongly, prioritize building expertise in SQL for querying databases, Python for scripting automation, and ETL processes for transforming raw data into usable formats—these skills appear most frequently in job requirements and deliver the highest leverage for entry-level applicants by demonstrating immediate value in building data pipelines and ensuring data quality. With a median midpoint salary of $73,000, these roles offer competitive entry points, but competition remains tight, so for candidates with less than two years of experience, craft a targeted application by including a GitHub portfolio showcasing one or two personal projects that apply SQL and Python to real-world datasets, such as cleaning public health records or modeling simple e-commerce trends—this directly addresses common screening gaps and showcases initiative without needing extensive professional history.