Lead Engineer, Big Data

Molina Healthcare; Tampa (FL); On-site; USD 107,000 - 251,000; Full time

Job summary

A healthcare company in Tampa is seeking an experienced Data Management Architect to lead the design and implementation of innovative data solutions. The ideal candidate will have over 8 years of experience in data management and expertise in tools such as Azure Data Factory and Hadoop. This role requires a bachelor’s degree, with a master’s preferred, and extensive experience with data integration and processing. The position offers a competitive salary ranging from $107,028 to $250,446 annually.

Benefits

Competitive benefits and compensation package

Equal Opportunity Employer

Qualifications

• 8+ years of data management experience.
• Previous experience leading projects or teams.
• Experience in building stream-processing systems.
• Proven experience on Big Data tools.
• Experience with integration of data from multiple data sources.
• Experience with manipulating large data sets.

Responsibilities

• Lead architecture, design, and implementation of data management solutions.
• Define standards for scalable business solutions.
• Mentor teams for better data quality control.
• Implement efficient data ingestion/extraction processes.
• Design and build data solutions focusing on performance.

Skills

Architecture leadership

Data management strategy application

Mentorship for development teams

Batch and Real-time data processes

Performance-oriented data design

Designing analytical data models

Team leadership

Technical issue resolution

Education

Bachelor's Degree

Master's Degree

Tools

Azure Data Factory

Hadoop

Power BI

Tableau

Kafka

Talend

Job description

Overview

JOB SUMMARY: Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.

Knowledge, Skills & Abilities

• Provide leadership on choosing ideal Architecture, evaluating tools and Frameworks, define Standards & Best Practices for implementing scalable business solutions
• Understand, articulate, interpret, and apply the principles of the defined data and analytics strategy to unique, complex business problems
• Mentor development teams to build tools for data quality control and repeatable data tasks that will accelerate and automate data management duties
• Implement Batch and Real-time data ingestion/extraction processes through ETL, Streaming, API, etc., between diverse source and target systems with structured and unstructured datasets
• Design and build data solutions with an emphasis on performance, scalability, and high reliability
• Design analytical data models for self-service BI
• Contribute to leading and building a team of top-performing data technology professionals
• Help with project planning and execution
• Analyze current business practices, processes and procedures and identify opportunities for leveraging Microsoft Azure data & analytics PaaS services
• Expert level experience on Azure Big Data Services (like Azure Data Factory, Azure Devops, Azure Storage/ Data Lake, Azure Databricks, etc.)
• Expert level experience on Hadoop cluster components and services (like HDFS, YARN, ZOOKEEPER, AMBARI/CLOUDERA MANAGER, SENTRY/RANGER, KERBEROS, etc.)
• Designing and implementing BI solutions to meet business requirements using modern BI tools (Like Power BI, Tableau, etc.)
• Ability to lead, in solving technical issues while engaged with infrastructure and vendor support teams

Job Function

Responsible for all the aspects of architecture, design and implementation of Data Management solution using Big Data platform on Cloudera or Hortonworks and other areas of enterprise application platforms.

Required Education

Bachelor's Degree

Required Experience

• 8 + years of data management experience
• Previous experience leading projects or teams
• Experience in building stream-processing systems, using solutions such as Kafka, Storm or Spark-Streaming
• Proven experience on Big Data tools such as, Spark, Hive, Impala, Polybase, Phoenix, Presto, Kylin, etc.
• Experience with integration of data from multiple data sources (using ETL tool such, Talend, etc.)
• Experience with manipulating large data sets through Big Data processing tools
• Strong experience on Data Lake, Data Warehouse, Data Validation & Certification, Data Quality, Metadata Management and Data Governance
• Experience with programming language such as, PySpark/ Scala/SQL, etc.
• Experience implementing Web application and Web Services APIs (REST/SOAP)

Preferred Education

Master's Degree

Preferred Experience

Experience in the healthcare industry is preferred

To all current Molina employees: If you are interested in applying for this position, please apply through the intranet job listing.

Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.

Pay Range: $107,028 - $250,446 / ANNUAL

*Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.