NYCM Insurance

Data Engineer

NYCM Insurance

full-time

Posted on:

Location Type: Hybrid

Location: Edmeston • New York • United States

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Salary

💰 $79,756 - $132,926 per year

About the role

  • Build the infrastructure required for optimal extraction and transformation from a wide variety of data sources.
  • Build and optimize ‘big data’ pipelines, architectures, and datasets to be used across the organization.
  • Understand and translate complex business priorities into clearly defined technical/data specifications for implementation.
  • Support other team members on data initiatives and ensure optimal data delivery architecture consistency throughout ongoing projects.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Implement processes and systems by coding, testing, and debugging to monitor data quality, and ensure accuracy of production data.
  • Collaborate with analytics and business teams to improve data models that feed business intelligence tools to increase data accessibility and fostering data-driven decision making across the organization.
  • Work closely with business architecture, IT, and analytic teams to help implement an end-to-end data strategy from data ingest to output into business tools.
  • Work with Modeling Analyst to data mine and extract key identifiers coming from unstructured, free format datasets.
  • Collaborate across multiple business functions to combine several aspects (such as rating and competition) of predictive modeling results into one analytical dashboard.
  • Expand knowledge in multiple programming languages and software.
  • Monitor developments in data transformation and storage to remain current with respect to new approaches and methods utilized within the data science industry.
  • Complete internal and external coursework to further develop programming skills and business knowledge.
  • Other duties as assigned.

Requirements

  • Bachelor’s degree in computer science, statistics, math, or related field or equivalent combination of education and experience.
  • 2 years of experience in a data science and/or programming related field.
  • Work experience with relational databases and query authoring.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience developing data pipelines for warehouses/lakes.
Benefits
  • Equal Opportunity Employer
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data extractiondata transformationbig data pipelinesdata architecturedata quality monitoringcodingtestingdebuggingdata miningpredictive modeling
Soft Skills
collaborationcommunicationproblem-solvingadaptabilityteam supportprocess improvementbusiness prioritizationdata-driven decision makingcross-functional teamworkorganizational skills
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in statisticsBachelor’s degree in mathdata science certificationsprogramming certifications