Data Engineer Jobs in Austin

Austin's Data Engineer market currently supports 22 open roles, with a median midpoint salary of $170,950, reflecting steady demand in a city known for its tech and innovation hubs. This compact yet competitive landscape indicates opportunities for mid-level professionals who can handle scalable data infrastructures, as postings emphasize building and maintaining robust pipelines amid growing data volumes. Leading the hiring charge are Visa and General Motors, each with three openings, signaling robust investments in financial analytics and automotive data systems that prioritize efficiency and security. The University of Texas at Austin follows with two roles, underscoring academic institutions' push for advanced data management in research environments. These employers' activity points to a market favoring candidates who bridge enterprise needs with cutting-edge tools, creating pathways for those with relevant experience to secure high-impact positions quickly. Dominating the skill requirements are Python, SQL, and Spark, appearing frequently across listings, which means applicants must demonstrate hands-on expertise in these areas to process, query, and analyze large datasets effectively—without them, even strong backgrounds in related fields like data modeling or AWS may fall short in initial screenings. To navigate this market successfully, tailor your resume and cover letter to quantify achievements using Python and SQL, such as optimizing queries that reduced processing time by specific percentages, and apply directly through company portals for Visa and General Motors roles within the next week to capitalize on their urgent hiring timelines.