Mts 1, Data Engineer
Showing salary data for 48 Mts 1, Data Engineer positions
In-depth H-1B visa salary data for Mts 1, Data Engineer positions across the United States. Explore compensation trends, top employers, and geographic distribution for this specialty occupation. Compare wages across different companies and cities.
Job Title Stats
Total Positions
48
Average Salary
$142,443.75
About Mts 1, Data Engineer
The role of MTS 1, Data Engineer is pivotal in today's data-driven landscape, focusing on designing, building, and maintaining scalable data pipelines and architectures. Typical responsibilities include data modeling, ETL processes, and collaborating with cross-functional teams to enhance data accessibility and usability. Required skills often encompass proficiency in programming languages such as Python or Java, experience with big data technologies like Hadoop or Spark, and a solid understanding of database management systems. With an average salary of approximately $147K and 14 H-1B positions available in 2024, this role presents significant opportunities for international professionals seeking visa sponsorship. The demand for data engineers continues to grow, driven by the increasing reliance on data analytics across industries, making this an attractive career path with strong growth potential.
Monthly H-1B Job Count & Salaries
Top Locations for Mts 1, Data Engineer
* Dominance shows what proportion of all H-1B jobs in each city are for the Mts 1, Data Engineer role.
💰 Salary Trends & Insights
The salary trends for Mts 1, Data Engineer positions from July 2020 to May 2025 show a significant increase in compensation. The overall average salary is $142,444, with a notable rise in 2025, where the average salary reached $156,230. Hiring peaked in 2022 with 18 postings, while 2024 saw a resurgence with 14 postings and an average salary of $144,784. The highest monthly average salary recorded was $188,500 in August 2024, indicating strong demand. Overall, compensation has evolved positively, reflecting the growing value of data engineering roles in the market.