Overview
On Site
USD 130,000.00 - 155,000.00 per year
Full Time
Skills
Organized
Conflict Resolution
Problem Solving
Data Storage
Extract
Transform
Load
Analytical Skill
Relational Databases
Apache Hadoop
Apache Hive
SLA
Attention To Detail
Continuous Integration
Continuous Delivery
Data Security
Regulatory Compliance
Health Care
HIPAA
Collaboration
Data Integration
Computer Science
Data Engineering
Data Science
Workflow
Python
SQL
Analytics
Google Cloud Platform
Google Cloud
Communication
GitLab
Electronic Health Record (EHR)
Production Support
Snow Flake Schema
Amazon Redshift
Data Warehouse
Design Architecture
Dimensional Modeling
Orchestration
BMC Control-M
Docker
Kubernetes
Cloud Computing
Terraform
Amazon S3
Amazon DynamoDB
DMS
Amazon RDS
Remote Desktop Services
Agile
DevOps
Informatica PowerCenter
Amazon Web Services
Data Modeling
Artificial Intelligence
Machine Learning (ML)
Business Intelligence
Life Insurance
Screening
Writing
Career Counseling
Recruiting
Law
Testing
Job Details
Lead Cloud Data Engineer - Permanent - Coral Gables, FL/Remote - $130000.00 - $155000.00
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Visa sponsorship not available.
Our client is seeking a Lead Cloud Data Engineer in Coral Gables, FL/Remote.
Job Description
We are looking for a lead data engineer highly collaborative and comfortable with ambiguity and change in a fast-paced environment to partner closely with various teams to design, build and maintain data systems and applications. Must be a self-starter and highly organized with strong problem-solving and learning skills to work with various teams analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem. Leverage strong understanding of data modeling principles and modern data platforms to properly design and implement data pipeline solutions. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift. Provide production support and adhering to the defined SLA(s). Strong technical skills and demonstrated ability to be detail-oriented. Good understanding of data security, compliance, and policies in healthcare services. Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams. Strong interpersonal, written, and oral communication skills with ability to work with all levels of the organization. Prior experience in the healthcare industry is a plus.
Requirements & Skills
10+ years of hands-on experience in data engineering, including end-to-end automation of data pipelines in large enterprise environments
Must possess deep technical expertise in SQL and Python, with strong experience in data warehousing and modern data platforms (Snowflake, Redshift, AWS)
Must possess experience designing and implementing scalable, reliable, and automated data pipelines, including production support and troubleshooting in complex data ecosystems
Must possess strong understanding of data modeling principles, including Data Vault 2.0 and Dimensional Modeling
Must possess experience with AWS cloud services (S3, Glue, Athena, Lake Formation, DynamoDB, RDS) and infrastructure-as-code tools (Terraform, CloudFormation)
Must possess experience with CI/CD pipelines (e.g., GitLab), containerization (Docker, Kubernetes), and serverless frameworks, with exposure to Agile methodology and DevOps processes
Must possess strong understanding of data security, compliance, and healthcare policies, including HIPAA and PHI handling
Must possess excellent verbal and written communication skills, with ability to collaborate across technical and business teams
Must possess a Bachelor's degree in Computer Science or related field
Experience with DBT Cloud, Informatica PowerCenter, or similar modern data integration tools
Familiarity with AI/ML and BI workflows and tools
Bachelors degree in computer science or related.
Master's degree preferred.
At least 10 yrs with a Bachelors and at least 8 yrs with a Masters of recent exp in data engineering and end-to-end automation of data pipelines.
Technical Skills: Data Warehousing, Strong SQL, and Python
Strong understanding of data science and business intelligence workflows.
Programming exp ideally in Python & SQL
exp with large-scale data warehousing and analytics projects, including using AWS and Google Cloud Platform technologies.
Proven track record of successful written communication, technically deep and business savvy.
Snowflake, DBTCloud, Gitlab, Terraform, Serverless EMR strongly preferred.
Experience in production support and troubleshooting.
Hands-on experience with modern data platforms (Snowflake, Redshift, etc) required
10+ years of hands-on: data warehouse design/architecture with AWS, Data Vault 2.
Helpful to have Dimensional Modeling, Orchestration tools like Airflow, Control-M, containerization of applications (Docker & Kubernetes) Cloud Formation and Terraform-AWS Services (S3, AWS Glue, Athena, Lake formation, DynamoDB, DMS, RDS, etc) Agile methodology and DevOps process, modern data Integrations tools (DBT, Informatica Power Center, AWS Glue or similar) preferred *3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus.
Minimum Required Experience: 10 years
Benefits/Other Compensation:
Medical, Dental, Life Insurance, 401K.
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
The final salary or hourly wage, as applicable, paid to each candidate/applicant for this position is ultimately dependent on a variety of factors, including, but not limited to, the candidate's/applicant's qualifications, skills, and level of experience as well as the geographical location of the position.
Applicants must be legally authorized to work in the United States. Visa sponsorship not available.
Our client is seeking a Lead Cloud Data Engineer in Coral Gables, FL/Remote.
Job Description
We are looking for a lead data engineer highly collaborative and comfortable with ambiguity and change in a fast-paced environment to partner closely with various teams to design, build and maintain data systems and applications. Must be a self-starter and highly organized with strong problem-solving and learning skills to work with various teams analyze and design data storage structures and build performant automated data pipelines that are reliable and scalable in a fast growing data ecosystem. Leverage strong understanding of data modeling principles and modern data platforms to properly design and implement data pipeline solutions. Experience using analytic SQL, working with traditional relational databases and/or distributed systems such as AWS S3, Hadoop / Hive, Redshift. Provide production support and adhering to the defined SLA(s). Strong technical skills and demonstrated ability to be detail-oriented. Good understanding of data security, compliance, and policies in healthcare services. Demonstrated ability to test and validate according to industry best practices and to communicate effectively with peers in technology teams. Strong interpersonal, written, and oral communication skills with ability to work with all levels of the organization. Prior experience in the healthcare industry is a plus.
Requirements & Skills
10+ years of hands-on experience in data engineering, including end-to-end automation of data pipelines in large enterprise environments
Must possess deep technical expertise in SQL and Python, with strong experience in data warehousing and modern data platforms (Snowflake, Redshift, AWS)
Must possess experience designing and implementing scalable, reliable, and automated data pipelines, including production support and troubleshooting in complex data ecosystems
Must possess strong understanding of data modeling principles, including Data Vault 2.0 and Dimensional Modeling
Must possess experience with AWS cloud services (S3, Glue, Athena, Lake Formation, DynamoDB, RDS) and infrastructure-as-code tools (Terraform, CloudFormation)
Must possess experience with CI/CD pipelines (e.g., GitLab), containerization (Docker, Kubernetes), and serverless frameworks, with exposure to Agile methodology and DevOps processes
Must possess strong understanding of data security, compliance, and healthcare policies, including HIPAA and PHI handling
Must possess excellent verbal and written communication skills, with ability to collaborate across technical and business teams
Must possess a Bachelor's degree in Computer Science or related field
Experience with DBT Cloud, Informatica PowerCenter, or similar modern data integration tools
Familiarity with AI/ML and BI workflows and tools
Bachelors degree in computer science or related.
Master's degree preferred.
At least 10 yrs with a Bachelors and at least 8 yrs with a Masters of recent exp in data engineering and end-to-end automation of data pipelines.
Technical Skills: Data Warehousing, Strong SQL, and Python
Strong understanding of data science and business intelligence workflows.
Programming exp ideally in Python & SQL
exp with large-scale data warehousing and analytics projects, including using AWS and Google Cloud Platform technologies.
Proven track record of successful written communication, technically deep and business savvy.
Snowflake, DBTCloud, Gitlab, Terraform, Serverless EMR strongly preferred.
Experience in production support and troubleshooting.
Hands-on experience with modern data platforms (Snowflake, Redshift, etc) required
10+ years of hands-on: data warehouse design/architecture with AWS, Data Vault 2.
Helpful to have Dimensional Modeling, Orchestration tools like Airflow, Control-M, containerization of applications (Docker & Kubernetes) Cloud Formation and Terraform-AWS Services (S3, AWS Glue, Athena, Lake formation, DynamoDB, DMS, RDS, etc) Agile methodology and DevOps process, modern data Integrations tools (DBT, Informatica Power Center, AWS Glue or similar) preferred *3+ years(s) of data modeling and familiarity with AI/ML and BI tools, a plus.
Minimum Required Experience: 10 years
Benefits/Other Compensation:
Medical, Dental, Life Insurance, 401K.
Why Hays?
You will be working with a professional recruiter who has intimate knowledge of the industry and market trends. Your Hays recruiter will lead you through a thorough screening process in order to understand your skills, experience, needs, and drivers. You will also get support on resume writing, interview tips, and career planning, so when there's a position you really want, you're fully prepared to get it.
Nervous about an upcoming interview? Unsure how to write a new resume?
Visit the Hays Career Advice section to learn top tips to help you stand out from the crowd when job hunting.
Hays is committed to building a thriving culture of diversity that embraces people with different backgrounds, perspectives, and experiences. We believe that the more inclusive we are, the better we serve our candidates, clients, and employees. We are an equal employment opportunity employer, and we comply with all applicable laws prohibiting discrimination based on race, color, creed, sex (including pregnancy, sexual orientation, or gender identity), age, national origin or ancestry, physical or mental disability, veteran status, marital status, genetic information, HIV-positive status, as well as any other characteristic protected by federal, state, or local law. One of Hays' guiding principles is 'do the right thing'.
We also believe that actions speak louder than words.
In that regard, we train our staff on ensuring inclusivity throughout the entire recruitment process and counsel our clients on these principles. If you have any questions about Hays or any of our processes, please contact us.
In accordance with applicable federal, state, and local law protecting qualified individuals with known disabilities, Hays will attempt to reasonably accommodate those individuals unless doing so would create an undue hardship on the company. Any qualified applicant or consultant with a disability who requires an accommodation in order to perform the essential functions of the job should call or text .
Drug testing may be required; please contact a recruiter for more information.
#LI-DNI
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.