Sr Data Engineer

Healthfirst; Connecticut; On-site; USD 117,400 - 190,570; Full time

Benefits offered by this job

Medical, dental and vision coverage

Life insurance

401k contributions

Incentive and recognition programs

Job summary

A leading healthcare organization is seeking a Senior Data Engineer to implement data management strategies through integration, transformation, and quality assurance. The ideal candidate has over 8 years of IT experience, strong expertise in Python, SQL, and data warehousing, with familiarity in cloud infrastructure. This role involves ensuring data reliability and efficiency while aligning architecture with business requirements.

Qualifications

• 8+ years overall IT experience.
• Strong knowledge in scripting languages primarily Python and PySpark.
• Experience with data ingestion methodologies using ETL tools.

Responsibilities

• Designs and implements standardized data management procedures.
• Ensures the quality of technical solutions during data transitions.
• Develops, constructs, tests, and maintains architectures.

Skills

Python

PySpark

SQL

ETL tools

Data warehousing concepts

Cloud infrastructure (AWS, GCP, Azure)

Data security

APIs

DevOps practices

Job description

Overview

Join to apply for the Sr Data Engineer role at Healthfirst.

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 at Healthfirst. The 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.

Responsibilities

• 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

Minimum Qualifications

• 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 NoSQL Databases

Preferred Qualifications

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

Compliance and Regulatory Responsibilities

N/A

License/Certification

N/A

Hiring Range

• 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.

Seniority level

• Executive

Employment type

• Full-time

Job function

• Information Technology

Industries

• Hospitals and Health Care

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