Data Engineer Jobs in Houston

Houston's Data Engineer market currently supports 13 open roles, with a median midpoint salary of $129,000, reflecting steady demand in a city anchored by energy and consulting sectors. This modest volume of positions underscores a focused hiring environment where opportunities cluster around established players rather than explosive growth, allowing targeted applications to yield faster results. Talan and Shell dominate with three openings each, signaling robust investment in data infrastructure by energy giants and specialized consultancies, while ConocoPhillips adds one role that highlights upstream oil and gas needs for efficient data management. This concentration from top employers indicates a preference for candidates who can integrate seamlessly into mission-critical projects, prioritizing reliability over volume hires. Postings consistently demand skills like SQL, Python, and AWS, which point to an emphasis on building scalable data pipelines and leveraging cloud storage such as S3 for real-time processing and analytics. For applicants, this means demonstrating proficiency in these areas is essential, as roles require not just coding but also data modeling, monitoring, and code reviews to ensure pipeline integrity—gaps here can disqualify even strong technical profiles. To stand out in this market, customize your resume to quantify achievements in Python-based data engineering tasks and AWS implementations, directly addressing how your experience aligns with the monitoring and Power BI visualization needs evident in these postings; submit applications through company career portals within 48 hours of new listings to capitalize on the low-competition window.