Sr Data Engineer

Healthfirst; Town of Texas (WI); On-site; USD 117,000 - 175,000; Full time

Job summary

Healthfirst is seeking a Senior Data Engineer to lead data management initiatives and design robust data pipelines. You will engage closely with stakeholders to ensure data is efficiently used, ensuring quality across multiple environments. The role requires extensive experience in data engineering, data warehousing, and scripting languages like Python and Pyspark, all within a healthcare context.

Benefits

Medical, dental and vision coverage

401k contributions

Incentive and recognition programs

Qualifications

• 8+ years of overall IT experience.
• Experience in Python and Pyspark.
• Familiarity with ETL tools like Glue, DBT.

Responsibilities

• Designs and implements data management procedures.
• Ensures data quality across environments.
• Develops and maintains data architectures.

Skills

Data Management

Scripting Languages

Data Ingestion

SQL

Data Warehousing

Big Data Technologies

Cloud Infrastructure

Education

Bachelor's Degree in IT or related field

Job description

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The Senior Data Engineer leads and implements best-in-class data management strategies and practices through various forms of integration, data acquisition/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. He/she must constantly think through the needs of the business to support efficient and error-free processes. The Sr. Data Engineer finds 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.

Duties And 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 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.
  
  

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

• Seniority level

  Executive

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Hospitals and Health Care

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