Accessibility Links

Big Data Jobs

Latest jobs

DevOps Engineer
  • Job type: Permanent
  • Location: London
  • Salary: Competitive
  • Description Executive Summary A well established tech start-up dedicated to improving everyday processes through artificial intelligence is looking for a passionate and enthusiastic DevOps Engineer
DevOps Engineer
  • Job type: Permanent
  • Location: New York
  • Salary: US$90000 - US$130000 per year
  • Description DevOps Engineer Artificial Intelligence Start-up New York, New York $90,000- $130,000 With over $60 Million in funding, this start-up is using innovative emerging technologies
Tech Lead
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: Competitive
  • Description Tech Lead San Francisco $220-250K Are you a passionate hands on developer seeking to work with the most cutting edge technology in the cyber security industry? Then this is the position for you!
Senior Solutions Engineer | IIoT & ICS Security
  • Job type: Permanent
  • Location: Houston, Texas
  • Salary: US$150000 - US$200000 per year
  • Description A rapidly growing industrial security vendor is looking for a subject matter expert in ICS and IIoT security to join as a Senior Solutions Engineer. Here, the Senior Solutions Engineer must have a
Senior Solutions Architect | AppSec & IoT
  • Job type: Permanent
  • Location: Boston, Massachusetts
  • Salary: US$175000 - US$225000 per year
  • Description A Senior Solution Architect with this award-winning application and IoT security vendor will work together with sales teams to provide expert support in understanding customer problems and formulating
Senior level Data Scientist
  • Job type: Permanent
  • Location: New York
  • Salary: Negotiable
  • Description Senior level Data Scientist New York, New York Compensation: 170,000 - 190,000k + Bonus and Benefits Description We are becoming the dominant player in the E-commerce industry and recently received
Senior Machine Learning Engineer
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: US$180000 - US$200000 per year + Equity
  • Description Machine Learning Engineer Tech Unicorn | Series C San Francisco, CA $180k-$200k + Bonus + Equity This FinTech start-up company with HQ in downtown San Francisco is shaking up the payments industry
Lead Data Engineer
  • Job type: Permanent
  • Location: San Francisco, California
  • Salary: US$150000 - US$180000 per year
  • Description If you are someone who is passionate about working with a lot of data and excited to change the world with data, this is the perfect role for you! This company uses data science
Lead Principal Engineer
  • Job type: Permanent
  • Location: München (81249), Bayern
  • Salary: €80000 - €100000 per annum
  • Description If you have a passion for making key decisions, leading architects & engineers, directing the future vision and strategy for a world leading company, this role may be for you

A relatively new term, big data is used to explain the collection of huge amount of information in extensive quantities, from multiple sources. Big data involves data sets that are so large and complex that traditional data processing software applications are inadequate to deal with them. Big data engineers develop, evaluate, maintain, and test big data solutions within organizations. These professionals manage and creates the tools and big data infrastructure of a company, and identify methods of getting results quickly from vast amounts of data. 
Big data can come from both digital and traditional sources, and the data can be received from internal and external sources. A big data engineer is involved in accessing, analyzing and managing massive amounts of data or information and using them to meet strategic and business objectives. 

Job Specification, Salary, Outlook
Big data specialists must be business and tech-savvy with an aptitude for statistics and mathematics. Several years of experience, and the combination of these two in-demand skills will help a big data engineer to earn an above average salary, and expertise in this area can make for a very lucrative career. For the best career prospects, it’s important to stay up to date with developments and trends in this field.  

So how much do big data engineers earn? It depends on a number of factors, but the average salary for big data engineers in the United States is $96,649 per annum, with a range of $67,928 - $154,047. Factors that affect the level of salary include job location, technical skills, on-the-job experience, and academic background. Salary and other facilities are largely dependent on your ability to deliver results and level of experience. In the UK, an average salary of £34,427 per year can be expected, with a range of £17,049 - £59,520.   

Job Description
As a big data engineer, you help companies to manage an incredibly large amount of data the organizations are bombarded with regularly. You need to analyze a vast amount of data on a daily basis, and help the employer to understand how they can use the information to stay competitive, and what the data can do for them. A big data engineer’s regular tasks include supporting and developing processes, technology and personnel that analyze, gather, organize and store information. 

Typical Responsibilities:

  • Gathering and processing raw data at scale (including web scraping, writing scripts, SQL queries, APIs etc.)
  • Working closely with the engineering team to integrate algorithms and innovations into production systems
  • Supporting key business decisions with the necessary analysis 
  • Processing and analyzing massive amounts of unstructured data 
  • Providing managerial and technical leadership in a team that designs and develops large-scale cluster processing systems of available data 
  • Guiding and managing the lifecycle of a Hadoop solution, including platform selection, requirements analysis, application design, technical architecture design, development, testing and deployment
  • Extracting huge volumes of data from a variety of sources
  • Exploring data using visualization, statistics and quantitative tools
  • Establishing and maintaining effective processes for updating and validating predictive models
  • Selection of appropriate techniques for statistical processes 
  • Analysis, forecasting, and modelling of utilization trends/patterns 
  • Collaboration with data strategy partners and internal stakeholders to improve efficiency 
  • Managing the innovation cycle of generating insights, conducting analyses and advocating the integration of new concepts into scalable software solutions 

Key Skills & Qualifications      
This field is relatively new, so education and training institutions are still updating and expanding their offerings and programs to support a career as a big data engineer. A degree in computer sciences, computer engineering, mathematics or statistics is a solid starting point.  A post-graduate degree can be required for highly sought after big data engineer jobs.
Big data engineers should be able to program or code with programming languages such as Python, Java, R, Ruby, Matlab, Clojure, SQL or Pig. They should understand Hadoop, MapReduce and/or Hive. 

Required job skills:

  • Experience with data structures and complex data 
  • Management capability of Hadoop cluster, with other services 
  • Solid understanding of distributed principles of computing 
  • Capability to solve operational issues with the Hadoop cluster  
  • Proficiency with HDFS, MapReduce, Hadoop v2 
  • Experience with using solutions such as Spark Streaming or Storm, and building stream-processing systems
  • Solid knowledge of big data querying tools, such as Impala, Hive, and Pig 
  • Experience with the integration of vast amounts of data from various data sources
  • Knowledge of NoSQL databases, such as MongoDB, Cassandra, HBase 
  • Experience with various frameworks and ETL techniques, such as Flume 
  • Knowledge of various messaging systems, such as RabbitMQ and Kafka 
  • Experience with big data ML toolkits such as H2O, SparkML, or Mahout 
  • Solid understanding of Lambda Architecture 
  • Experience with Hortonworks/MapR/Cloudera
  • Ability to lead, communicate and manage 
  • A highly analytical and methodical approach

Job Trends  
It is expected that the career opportunities for big data engineers will continue to increase in the next ten years. Organizations are becoming more and more aware of the value of using big data to make informed, strategic business decisions and to see the big picture.