Health First - Merrimack, NH

posted 9 days ago

Full-time
Merrimack, NH
Ambulatory Health Care Services

About the position

The Data Engineer role focuses on designing and implementing standardized data management procedures to enhance data reliability, efficiency, and quality. This position involves working with various data environments, ensuring the integrity and security of company data, and deploying advanced analytics and machine learning solutions to support the company's strategic goals.

Responsibilities

  • Designs and implements standardized data management procedures around data staging, ingestion, preparation, provisioning, and destruction.
  • Ensures quality of technical solutions as data moves across multiple zones and environments.
  • Provides insight into the changing data environment and offers suggestions for solutions.
  • Ensures managed analytic assets support the company's strategic goals by creating and verifying data acquisition requirements and strategy.
  • Develops, constructs, tests, and maintains data architectures.
  • Aligns architecture with business requirements using programming languages 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 implement solutions efficiently.
  • Prepares data for predictive and prescriptive modeling and finds 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 and 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

  • Work experience in data engineering requiring advanced data management strategies.
  • Demonstrated expertise in data programming languages (i.e., Java, Python or PySpark, etc.).
  • Work experience in a Big Data ecosystem processing data including file systems, data structures/databases, automation, security, messaging, movement, etc.
  • Work experience in a production cloud infrastructure.
  • Proven track record of success directing the efforts of data engineers and data analysts, including coaching, mentoring, or informal leadership.
  • High School Diploma or GED from an accredited institution.

Nice-to-haves

  • Bachelors Degree in computer engineering or related field.
  • Hands-on experience in leading healthcare data transformation initiatives from on-premise to cloud deployment.
  • Demonstrated experience working in an Agile environment as a Data Engineer.
  • Hands-on work with AWS, including creating Redshift data structures, accessing them with Spectrum, and storing data in S3.
  • Knowledge of SQL and multiple programming languages to optimize data processes and retrieval.
  • Proven results using an analytical perspective to identify engineering patterns within complex strategies and ideas, and break them down into engineered code components.
  • Experience developing, prototyping, and testing engineered processes, products, or services.
  • Proficiency with relational, graph and NoSQL databases.
  • Demonstrates critical thinking skills with ability to problem solve.
  • Excellent interpersonal skills with proven ability to influence with impact across functions and disciplines.
  • Skilled in Microsoft Office; including PowerPoint, Word, Excel, and Visio.
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