Big Data

Every day, we all make hundreds of interactions which involve data. This will only increase with the advent of new technology, so data jobs are becoming increasingly important. If you’re looking for your next role as a Data Scientist, Data Engineer or Data Analyst, the specialist recruiters at Salt are here to help.

Jobs: Big Data

Job Industry: Big Data

Salt is building an advanced analytics team for one of the world's leading Robotic devices. Our client has revolutionized the way surgery takes place now and will do in the…

San Francisco

Contract

Negotiable

What are Data jobs?

The field of data encompasses Data Scientists, Data Engineers and Data Analysts. Data Engineers create the systems which the Scientists and Analysts use to examine data. Data Scientists make predictions based on data patterns. Data Analysts use data to answer questions.

Salary information and career progression

Data Analyst$80,000 - $130,000
Data Scientist$130,000 - $160,000
Machine Learning Engineer$110,000 - $150,000
Lead Data Scientist$150,000 - $200,000
Data Engineer$120,000 - $150,000
Senior Data Engineer$160,000 - $180,000
  • Opportunity

    Opportunities for data-related roles are likely to grow as more companies utilise data for their products and services. Emerging fields like the Internet of Things, which allow businesses to work with data in new ways, are also likely to offer Data Scientists, Data Engineers and Data Analysts more opportunities.

  • Recent changes to the sector

    The biggest recent change in the data sector is its rapid expansion. Data is becoming huge, and businesses across most industries are hiring Data Scientists to help them make better business decisions and forecast future performance.

  • Salt’s advice for securing a Data Analyst job

    Employers’ requirements for Data jobs

    Employers looking to fill data roles will prefer candidates who have previously worked with statistics, analytics and applied mathematics. Naturally, experience working in Data Science, Engineering or Analytics is also a big plus, as is having a good knowledge of machine learning capability and associated algorithms.

    • Experience with Hadoop – ecosystem search, Big Data from Apache, data lakes

    CV requirements for Data professionals

    Your CV should include relevant work experience, along with technical skills like SQL and Python capabilities. Industry-specific experience will also help in securing specific roles. For Data Scientists, details of your PhD (if you have one) are desirable.

    Interview preparation

    During your interview, you should be prepared to talk about your PhD or any other relevant qualifications you have undertaken. Questions may vary by industry but expect to discuss what you have learned from your previous jobs, and how you would bring that knowledge to the table.

    Educational requirements

    Data Scientist applicants will ideally have studied statistics or mathematics academically. Candidates with PhD qualifications are preferred for high-level Data Science roles.

Top Tip

"Discuss your journey into the computational side and how you have picked up engineering capabilities or understanding "

— Bea Casey, Associate Director

Speak with Bea Casey about Big Data

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