Skill-Based Salary Insights
Specialized and high-demand skills command higher salaries. Niche technologies like RingCentral, MongoDB, Lua, Solidity, and Objective-C often exceed $160k. Backend and data-related tools such as Node, Cassandra, Kafka, Scala, and Neo4j also show strong earning potential. Machine learning and AI frameworks (PyTorch, TensorFlow, Theano, MXNet, Hugging Face) reflect high market demand for advanced analytics, while tools like RShiny, dplyr, AirTable, Gatsby, and Vue indicate value in data analysis and full-stack development.
Job Titles, Salaries & Required Skills
Senior roles, such as Senior Cloud Data Engineer at TIAA, offer salaries above $118k, requiring skills like SQL, AWS, GCP, and PySpark. Mid-level positions, e.g., Actuarial Data Analyst, average $110k and demand SQL, R, SAS, Excel, Tableau, and PowerPoint. Standard Data Analyst roles range from $65k to $100k, with common skills including SQL, Python, R, Excel, Tableau, and Power BI. Entry-level positions start around $50k, focusing on core data handling like MySQL and Excel.
Top In-Demand Skills
SQL and Python dominate job postings with over 37,000 listings each, highlighting their essential role in data work. Cloud platforms like AWS and Azure are frequently requested, and Spark is in high demand for large-scale data processing.
Skill Demand & Salary Insights
High-demand and high-paying skills overlap in areas like TensorFlow, PyTorch, NumPy, Pandas, and Scikit-Learn, emphasizing machine learning and data analytics expertise. Distributed systems and backend technologies (Kafka, Kubernetes, Cassandra, Golang) also offer strong salaries. Less frequent niche skills (Neo4j, Rust, GDPR) show some of the highest average salaries due to their specialized nature.
