Sr Data Engineer

Overview

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The Senior Data Engineer leads and implements data management strategies and practices through data integration, data ingestion, data cleansing/refinements, data transformations/conversions, data migrations, data purging, and back-ups. The incumbent works with a variety of users and stakeholders to understand data requirements and supports the data architecture to translate into the data management practice  Sr. Data Engineer authors artifacts defining standards and definitions for storing, processing, and moving data including associated processes and business rules.

Additionally, the Sr. Data Engineer maps the details within these artifacts to business processes, non-functional characteristics, qualitative criteria, and technical enablement. The role focuses on business needs to support efficient and error-free processes, identifies trends in datasets, and develops workflows and algorithms to highlight strategic raw data as useful to the enterprise. The Sr. Data Engineer creates data acquisition strategy and develops dataset processes in a robust manner according to best practices of standardization.

• 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

• 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 equivalent)
• 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 No
  
  SQL Databases

• Strong knowledge of data security, encryption, and compliance standards
• Hands-on experience with CI/CD pipelines and Dev Ops practices in a data engineering environment
• Experience in API building
• Experience building stream platforms

N/A

N/A

• Greater New York City Area (NY, NJ, CT residents): $131,900 - $190,570
• All Other Locations (within approved locations): $117,400 - $174,675

As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.

In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements). Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.

• The hiring range is defined as the lowest and highest salaries that Healthfirst in “good faith” would pay to a new hire, or for a job promotion, or transfer into this role.

• Executive

• Full-time

• Information Technology

• Hospitals and Health Care

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