Senior Data Engineer (Remote)

Claritev•New York, NY

22h•$145,000 - $155,000•Remote

About The Position

This Senior Data Engineer will be part of the team responsible for developing and deploying Engineering and Integration solutions. Primary responsibility will be to work closely with the Data Architects and Machine Learning Team to implement data solutions for the organization using Python, Java, Kafka and other big data solutions, creating technical specification documents and test plans. Also provide support for the data solutions across the enterprise.

Requirements

Minimum high school diploma and five years' of relevant experience within data engineering. Bachelors' degree in computer science, information technology or a similarly relevant field is highly preferable.
Minimum of 3 years of experience with OOP, SQL, schema designing, data modeling, designing, building, and maintaining data processing systems
Strong experience with advanced analytics tools for Object-Oriented/object function scripting using languages such as R, Python, Java, others.
Database development experience using SQL, SPARK, or BigQuery and experience with a variety of relational, NoSQL oriented databases like Hadoop, MongoDB, Cassandra
Big Data Development experience using Hive, Impala, Spark, and familiarity with Kafka (preferred)
Extensive experience in triaging data issues, analyzing end-to-end data pipelines and working with business users in resolving issues.
Experience in working with data governance/data quality and data security teams and specifically data stewards and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
Experience building infrastructure required for optimal extraction, transformation, and loading of data from diverse data resources
Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines.
Exposure to containerization using Docker, Kubernetes etc.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Excellent communication skills (verbal, listening and written)
Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
Strong attention to detail when identifying data relationships, trends, and anomalies.
Thinking through long-term impacts of key design decisions and handling failure scenarios.
Ability to work with both IT and business in integrating analytics and data science output into business processes and workflows.
An agile learner who brings strong problem-solving skills and enjoys working as part of a technical, cross functional team to solve complex data problems
A thought leader when approaching technical challenges
Ability to provide mentoring to a team of data engineers
Ability to prioritize and manage multiple projects and requests at any one time
Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
Ability to meet strict deadlines, work on multiple tasks and work well under pressure
Individual in this position must be able to work in a standard office environment which requires sitting and viewing monitor(s) for extended periods of time, operating standard office equipment such as, but not limited to, a keyboard, copier and telephone

Responsibilities

Understand business processes and how they are modeled in various systems
Work with business users, technology teams, and executives to understand their data needs to create innovative solutions to fulfil them
Design, organize, and implement data structures, workflows, and integrations between enterprise platforms to ensure the accurate and timely execution of business processes.
Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity.
Guiding decisions and establishing best practices on data integration/engineering, as well as the future of our data infrastructure
Managing and improving the performance of our database, queries, tools, and solutions
Creating and maintaining data warehouse, databases, tables, SQL queries, and ingestion pipelines to power reports(Tableau), dashboards, predictive models, and downstream analysis
Writing complex and efficient queries to transform raw data sources into easily accessible models for our teams and reporting platforms
Prepare data for predictive and prescriptive modeling
Identify and analyze data patterns
Identify ways to improve data reliability, efficiency and quality
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs, advise on transformation processes to populate data models, and explore ways to design and develop data infrastructure
Document high and low level technical design
Draw performance reports and strategic proposals from analyses results for senior data science leadership
Collaborate, coordinate, and communicate across disciplines and departments.
Ensure compliance with HIPAA regulations and requirements.
Demonstrate Company's Core Competencies and values held within.
Please note due to the exposure of PHI sensitive data -- this role is considered to be a High Risk and privileged role.
The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary.