Data Engineer with Java & Scala

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.

Job Description

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

Minimum Qualifications

• 8+ years of experience in Java, Python, and Scala
• Experience with Spark and Machine Learning (3+ years)

Responsibilities

1. Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, writing SQL queries, etc.).
2. Work closely with our engineering team to integrate and build algorithms.
3. Process unstructured data into a form suitable for analysis – and then do the analysis.
4. Support business decisions with ad hoc analysis as needed.
5. Extract data from a variety of relational databases, manipulate, and explore data using quantitative, statistical, and visualization tools.
6. Inform the selection of appropriate modeling techniques to ensure that predictive models are developed using rigorous statistical processes.
7. Establish and maintain effective processes for validating and updating predictive models.
8. 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.
9. Collaborate with internal business, analytics, and data strategy partners to improve efficiency and increase applicability of predictive models into the core software products.
10. Perform statistical analysis to prioritize in order to maximize success.
11. Identify areas for improvement, communicating action plans.
12. Perform strategic data analysis and research to support business needs.
13. Identify opportunities to improve productivity via sophisticated statistical modeling.
14. Explore data to identify opportunities to improve business results.
15. Develop understanding of business processes, goals, and strategy in order to provide analysis and interpretation to management.
16. Gain understanding of business needs and necessary analysis where appropriate through internal discussion.