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Job Description

Job Description:

Accenture Federal Services is looking for a proven Data Engineer or Computer Scientist to join our entity analytics team. You will work on complex projects involving data analysis, software engineering, and deploying solutions in a cloud computing environment. The team combines data from disparate sources to visualize the complex relationships between entities. This effort involves large scale data integration and entity resolution leveraging a best-in-class Novetta product. We are looking for a flexible problem solver with technical experience to join a team providing unique solutions for our customers and stakeholders.

Responsibilities:

  • Analyze, understand, and process large amounts of data.
  • Deploy applications on a large-scale data processing cluster using AWS technologies.
  • Design and implement entity correlation strategies that are tailored to mission needs and unique data qualities.
  • Develop algorithms and visualization tools to help stakeholders understand their data and prioritize new data sources.
  • Develop and integrate applications to automate ingestion, processing, and monitoring of data. 
  • Develop and maintain tools to support operations and maintenance of production and development computing clusters.

Here is what you need:

  • Experience in software development/engineering including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing and problem diagnosis/resolution.
  • Experience in software development experience on Linux-based systems in Python or shell scripting or JavaScript.
  • Experience developing against full-featured REST APIs and using a command line interface

Bonus points if you have:

  • Software development experience with JavaScript, Python, Java, or other modern programming languages.
  • Hands-on experience with Apache Spark.
  • Experience working with Databricks.
  • Interest in statistical analysis, machine learning, or data science.
  • Experience with entity resolution products or a background in data matching theory and technologies.
  • Experience developing applications in AWS.
  • A Bachelor’s degree in computer science or related field and a minimum of 7 years of experience; or a Master’s degree in computer science or related field and a minimum of 5 years of experience.

Security Clearance:

  • Active TS/SCI with Polygraph required.

 

Skills for Data Engineer

The job skills required for Data Engineer include Python, AWS, Computer science, Machine Learning, Java,and API etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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Career Path for Data Engineer

The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

How to Become a Data Engineer

If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1 Understand the job description and responsibilities of a Data Engineer

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Step 2 Knowing the best tips for becoming a Data Engineer can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Step 3 View the best colleges and universities for Data Engineer

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