CareMetx, LLC
Staff Data Engineer
CareMetx, LLC, Little Ferry, New Jersey, us, 07643
From
Intake to Outcomes , CareMetx is dedicated to supporting the patient journey by providing hub services, innovative technology, and decision-making data to pharmaceutical, biotechnology, and medical device innovators.Job Title : Staff Data EngineerPOSITION SUMMARY:As a Senior Engineer 1, Data, you will play a critical role in designing, building, managing, and scaling an enterprise data warehouse. You will be responsible for overseeing the end-to-end data engineering process, ensuring the efficient and reliable extraction, transformation, and loading (ETL) of data from various sources into the data warehouse. Additionally, you will collaborate with cross-functional teams to understand business requirements and drive data-driven decision-making across the organization.Joining our team as a Senior Engineer presents an exciting opportunity to make a significant impact on our organization's data-driven decision-making capabilities. If you have a passion for data engineering, architecture, and team leadership, we invite you to apply and contribute to our mission of turning data into actionable insights for continued growth and success.PRIMARY DUTIES AND RESPONSIBILITIES:Data Warehouse Design and Architecture:
Design and architecture of the enterprise data warehouse, considering scalability, performance, and data modeling best practices.Develop data storage structures, schema, and data integration processes to support various data analytics and reporting needs.
ETL Development and Management:
Develop and maintain ETL pipelines to ingest, cleanse, and transform data from multiple sources into the data warehouse.Ensure data integrity, accuracy, and quality throughout the ETL process.Optimize ETL workflows for efficiency and performance.
Data Warehouse Management and Optimization:
Manage the data warehouse infrastructure and ensure its stability, reliability, and scalability.Maintain data security and access controls to protect sensitive information.Monitor system performance, identify bottlenecks, and take proactive measures for optimization.
Data Governance and Documentation:
Implement and enforce data governance policies and procedures to ensure compliance with data privacy and regulatory requirements.Maintain comprehensive documentation of data warehouse architecture, ETL processes, and data flow.
Team Leadership and Collaboration:
Lead a team of data engineers, providing guidance, mentorship, and performance evaluations.Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
Data Warehouse Scaling:
Plan and execute strategies for scaling the data warehouse infrastructure to accommodate increasing data volumes and changing business needs.
Technology Evaluation and Adoption:
Stay abreast of emerging data engineering technologies, tools, and best practices, and assess their potential benefits for the organization.Drive the adoption of relevant technologies to enhance data engineering processes.
EXPERIENCE AND EDUCATIONAL REQUIREMENTS:Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.6+ years of experience as a Data Engineer with a focus on data warehousing and ETL development.Strong expertise in data modeling, SQL, and ETL tools (e.g., Apache Spark, Apache NiFi, Talend, AWS DMS, Confluent Kafka).Familiarity with cloud-based data platforms and technologies (e.g., AWS Redshift, S3).Knowledge of data governance, data security, and compliance practices.Leadership experience, demonstrating the ability to lead and manage a team of data engineers.Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:Work EnvironmentThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.ScheduleMust be flexible on schedule and hours.CareMetx
considers equivalent combinations of experience and education for most jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.At
CareMetx , we work hard, we believe in what we do, and we want to be a company that does right by our employees. Our niche industry is an integral player in getting specialty products and devices to the patients who need them by managing reimbursements for those products, identifying alternative funding when insurers do not pay, and providing clinical services.CareMetx
is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.
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Intake to Outcomes , CareMetx is dedicated to supporting the patient journey by providing hub services, innovative technology, and decision-making data to pharmaceutical, biotechnology, and medical device innovators.Job Title : Staff Data EngineerPOSITION SUMMARY:As a Senior Engineer 1, Data, you will play a critical role in designing, building, managing, and scaling an enterprise data warehouse. You will be responsible for overseeing the end-to-end data engineering process, ensuring the efficient and reliable extraction, transformation, and loading (ETL) of data from various sources into the data warehouse. Additionally, you will collaborate with cross-functional teams to understand business requirements and drive data-driven decision-making across the organization.Joining our team as a Senior Engineer presents an exciting opportunity to make a significant impact on our organization's data-driven decision-making capabilities. If you have a passion for data engineering, architecture, and team leadership, we invite you to apply and contribute to our mission of turning data into actionable insights for continued growth and success.PRIMARY DUTIES AND RESPONSIBILITIES:Data Warehouse Design and Architecture:
Design and architecture of the enterprise data warehouse, considering scalability, performance, and data modeling best practices.Develop data storage structures, schema, and data integration processes to support various data analytics and reporting needs.
ETL Development and Management:
Develop and maintain ETL pipelines to ingest, cleanse, and transform data from multiple sources into the data warehouse.Ensure data integrity, accuracy, and quality throughout the ETL process.Optimize ETL workflows for efficiency and performance.
Data Warehouse Management and Optimization:
Manage the data warehouse infrastructure and ensure its stability, reliability, and scalability.Maintain data security and access controls to protect sensitive information.Monitor system performance, identify bottlenecks, and take proactive measures for optimization.
Data Governance and Documentation:
Implement and enforce data governance policies and procedures to ensure compliance with data privacy and regulatory requirements.Maintain comprehensive documentation of data warehouse architecture, ETL processes, and data flow.
Team Leadership and Collaboration:
Lead a team of data engineers, providing guidance, mentorship, and performance evaluations.Collaborate with data analysts, data scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
Data Warehouse Scaling:
Plan and execute strategies for scaling the data warehouse infrastructure to accommodate increasing data volumes and changing business needs.
Technology Evaluation and Adoption:
Stay abreast of emerging data engineering technologies, tools, and best practices, and assess their potential benefits for the organization.Drive the adoption of relevant technologies to enhance data engineering processes.
EXPERIENCE AND EDUCATIONAL REQUIREMENTS:Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.6+ years of experience as a Data Engineer with a focus on data warehousing and ETL development.Strong expertise in data modeling, SQL, and ETL tools (e.g., Apache Spark, Apache NiFi, Talend, AWS DMS, Confluent Kafka).Familiarity with cloud-based data platforms and technologies (e.g., AWS Redshift, S3).Knowledge of data governance, data security, and compliance practices.Leadership experience, demonstrating the ability to lead and manage a team of data engineers.Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS:Work EnvironmentThe work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.ScheduleMust be flexible on schedule and hours.CareMetx
considers equivalent combinations of experience and education for most jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply.At
CareMetx , we work hard, we believe in what we do, and we want to be a company that does right by our employees. Our niche industry is an integral player in getting specialty products and devices to the patients who need them by managing reimbursements for those products, identifying alternative funding when insurers do not pay, and providing clinical services.CareMetx
is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.
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