Top 5 Big Data Jobs in USA for 2021
Big Data has become an indispensable part of modern-day businesses. Companies rely on Big Data professionals to collect, analyze, and interpret large chunks of data to extract valuable insights. According to recent reports, the Big Data market is expected to reach $274.3 billion by 2022. This exponential growth has led to the creation of various job roles within the Big Data sector. Here are the top 5 Big Data jobs in the USA for 2021.
1. Data Scientist
A Data Scientist is a professional with expertise in mining complex data sets to extract meaningful insights. Data Scientists are responsible for programming, data visualization, data analysis, and report writing. A typical Data Scientist requires a strong background in statistics, mathematics, programming languages like Python, R, and SQL.
The average salary of a Data Scientist in the USA is around $117,000 per year, with entry-level professionals earning around $85,000 per year.
2. Big Data Engineer
A Big Data Engineer is responsible for building and maintaining a company’s data infrastructure to ensure that it is reliable and accessible. Big Data Engineers design, implement, and maintain scalable databases, data pipelines, and cluster computing frameworks. A Big Data Engineer requires a sound understanding of distributed computing, data architecture, and programming languages like Java, Python, and Scala.
The average salary of a Big Data Engineer in the USA is around $150,000 per year, with entry-level professionals earning around $85,000 per year.
3. Big Data Architect
A Big Data Architect is responsible for designing, implementing, and managing Big Data infrastructure. They are responsible for developing a data management strategy, selecting appropriate technology vendors, and outlining the technical architecture. A Big Data Architect requires a sound understanding of enterprise architecture, software development, and Big Data technologies like Hadoop, NoSQL, and data warehousing.
The average salary of a Big Data Architect in the USA is around $163,000 per year, with entry-level professionals earning around $105,000 per year.
4. Business Intelligence (BI) Analyst
A Business Intelligence (BI) Analyst is responsible for transforming complex data into actionable insights that drive strategic business decisions. BI Analysts help companies understand their customer’s behavior, identify trends, and make data-driven decisions. They are responsible for data modeling, data analysis, and report writing. A BI Analyst requires a strong background in data analysis, business intelligence tools like Tableau, PowerBI, and SQL.
The average salary of a Business Intelligence (BI) Analyst in the USA is around $80,000 per year, with entry-level professionals earning around $60,000 per year.
5. Machine Learning Engineer
A Machine Learning Engineer is responsible for building, testing, and deploying Machine Learning models that allow machines to learn from data and improve their performance over time. Machine Learning Engineers require a strong background in machine learning algorithms, programming languages like Python, R, and statistics.
The average salary of a Machine Learning Engineer in the USA is around $134,000 per year, with entry-level professionals earning around $90,000 per year.
Conclusion
In conclusion, Big Data has become a fast-growing and lucrative career path. The above-discussed job roles are in high demand, with companies seeking professionals who can help them extract meaningful insights from large data sets to drive business decisions. An individual who wishes to pursue a career in Big Data must possess specialized skills, education, and experience to succeed in this field. So start building a rock-solid foundation today and take the first step towards your dream Big Data job!
