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Filtered by Santa Clara, CA, USA

Job Title

Senior Data Engineer

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Infostretch is seeking a Senior Data Engineer in large integrated systems based in our headquarters in Santa Clara, CA.


Working with a dynamic, research-oriented Financial professionals on several ongoing concurrent projects, you are expected

  • Propose solutions and strategies to business challenges
  • Undertake pre-processing of structured and unstructured data
  • Analyse large amounts of information to discover trends and patterns
  • Build predictive and statistical models and machine-learning algorithms
  • Combine models through ensemble modeling
  • Present information using data visualization techniques
  • Identify valuable data sources and automate collection processes

Collaborate with engineering groups and product development teams to operationalize the models and techniques.


  • 8+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics
  • Proficiency with data mining, mathematics, and statistical analysis using Python/Java, R, SQL etc.
  • Expertise in data munging with Excel, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)
  • Proficiency in understanding various data structures and common methods in data transformation.
  • Excellent pattern recognition and predictive modeling skills.
  • Good Understanding of machine-learning and operations research
  • Excellent communication and presentation skills

Good to Have

  • Experience working with Financial data model will be an asset
  • Familiarity with Scala, Java or C++ is an asset
  • Experience using business intelligence tools and data frameworks
  • Understanding of data solution on AWS and GCP.

Education Details:

  • Master’s Degree in Computer Science, Statistics, Applied Math or related field


If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

Apply Online Print

Job Code: ISSC_20200820001

Category: Engineering

Job Type: Full-Time

Location: Santa Clara, CA, USA

Open Positions: 1

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