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Data Engineer with Java & Scala

San Jose, CA, United States

Pay
Salary not listed in the saved posting
Work setup
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Employment
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Apply at Comtech LLC

What you’ll work on

Full posting
  • Work closely with our engineering team to integrate and build algorithms

  • Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management

  • Support business decisions with ad hoc analysis as needed

From the employer’s posting
Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). Work closely with our engineering team to integrate and build algorithms Process unstructured data into a form suitable for analysis – and then do the analysis.
Explore data to identify opportunities to improve business results Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management Gain understanding of business needs and necessary analysis where appropriate through internal discussion
Process unstructured data into a form suitable for analysis – and then do the analysis. Support business decisions with ad hoc analysis as needed Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools

Tools in this posting

  • Java
  • Python
  • SQL
  • Scala
Source — Tool mentions in context
• Big Data experience • 8+ years exp in Java, Python and Scala • With Spark and Machine Learning (3+)
Responsibilities • Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.). • Work closely with our engineering team to integrate and build algorithms

Job description

View original posting ↗

Job Description

Data Engineer
San Jose, CA
3 +(with possibility of extension)



• Big Data experience


• 8+ years exp in Java, Python and Scala


• With Spark and Machine Learning (3+)


• Data mining, Data analysis


• Data mining, Data analysis


Secondary Skills


• Data mining, Data analysis


Responsibilities


• Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).


• Work closely with our engineering team to integrate and build algorithms


• Process unstructured data into a form suitable for analysis – and then do the analysis.


• Support business decisions with ad hoc analysis as needed


• Extract data from a variety of relational databases, manipulate, explore data using quantitative, statistical and visualization tools


• Inform the selection of appropriate modeling techniques to ensure that predictive models are developed using rigorous statistical processes


• Establish and maintain effective processes for validating and updating predictive models


• Analyze, model, and forecast health service utilization patterns/ trends and create capability to model outcomes of what-if scenarios for novel health care delivery models


• Collaborate with internal business, analytics and data strategy partners to improve efficiency and increase applicability of predictive models into the core software products


• Perform statistical analysis to prioritize in order to maximize success


• Identify areas for improvement, communicating action plans


• Perform strategic data analysis and research to support business needs


• Identify opportunities to improve productivity via sophisticated statistical modeling


• Explore data to identify opportunities to improve business results


• Develop understanding of business processes, goals and strategy in order to provide analysis and interpretation to management


• Gain understanding of business needs and necessary analysis where appropriate through internal discussion



Additional Information

Regards

Amit Singh

703-291-8188

Company Description

Comtech is a woman-owned small business founded in 1998 and headquartered in Reston, VA. We offer IT solutions across the disciplines of program/project management, applications development, infrastructure, Cyber security, and enterprise content/data management services. We have developed our methodologies and processes based on the IT Infrastructure Library (ITIL) v.3 Framework across enterprise infrastructure operations. These methodologies and processes are reinforced through our organization’s externally accredited certifications, which include ISO 9001:2008 Quality Management System (QMS), ISO/IEC 20000-1:2011 IT Service Management Systems (SMS, corporate ITIL certification), ISO 27001:2005 Information Security Management System (ISMS), and CMMI-DEV Level 3"

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Pay

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Location & working pattern

San Jose, CA, United States

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Status in our records
Active
First seen by us
Jul 3, 2026
Recorded sightings
21
Last seen by us
Oct 7, 2026
Employer says posted
Aug 18, 2017

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