Healthfirst

Senior Data Engineer

Healthfirst

full-time

Posted on:

Location Type: Remote

Location: Remote • Connecticut, New Jersey, New York • 🇺🇸 United States

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Salary

💰 $131,900 - $190,570 per year

Job Level

Senior

Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformHadoopNoSQLPySparkPythonSQL

About the role

  • Designs and implements standardized data management procedures around data staging, data ingestion, data preparation, data provisioning, and data destruction (e.g., scripts, programs, automation, etc.)
  • Ensures quality of technical solutions as data moves across multiple zones and environments
  • Provides insight into the changing data environment, data processing, data storage and utilization requirements for the company, and offer suggestions for solutions
  • Ensures managed analytic assets to support the company’s strategic goals by creating and verifying data acquisition requirements and strategy
  • Develops, constructs, tests, and maintains architectures
  • Aligns architecture with business requirements and uses programming language and tools
  • Identifies ways to improve data reliability, efficiency, and quality
  • Conducts research for industry and business questions
  • Deploys sophisticated analytics programs, machine learning, and statistical methods to efficiently implement solutions
  • Prepares data for predictive and prescriptive modeling and find hidden patterns using data
  • Uses data to discover tasks that can be automated
  • Creates data monitoring capabilities for each business process and works with data consumers on updates
  • Aligns data architecture to the solution architecture; contributes to overall solution architecture
  • Develops patterns for standardizing the environment technology stack
  • Helps maintain the integrity and security of company data
  • Additional duties as assigned or required

Requirements

  • 8+ Years overall IT experience
  • Enterprise experience in scripting languages primarily Python and Pyspark building enterprise frameworks
  • Enterprise experience in data ingestion methodologies using different etl tools(Glue,DBT or any other)
  • Enterprise experience in data warehousing concepts and big data technologies like EMR, Hadoop
  • Enterprise experience in any cloud infrastructure like AWS,GCP,Azure
  • Strong SQL expertise across different relational and NoSQL Databases.
Benefits
  • medical, dental and vision coverage
  • incentive and recognition programs
  • life insurance
  • 401k contributions

Applicant Tracking System Keywords

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

Hard skills
PythonPysparkETLSQLHadoopEMRAWSGCPAzuredata warehousing
Soft skills
problem-solvinganalytical thinkingcommunicationcollaborationresearch