Sr. Applied Data Engineer - Remote
Jacksonville, Florida
Direct Hire
$170,000.00 - $180,000.00 per Year
Senior Applied Data Engineer
Orlando, Florida
*Fully Remote*
Salary: $170000-$180000
JOB SUMMARY: Applied Data Engineer role is responsible for all aspects of data platform, data integration, and data analytics. The role will be hands-on and will be responsible for helping business drive data-driven decisions and solving business opportunities through data. This role will be leading improvements of existing data solutions and development of new solutions by scoping, implementing, and testing in order to address business requirements.
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KEY RESPONSIBILITIES:
Act as a company-wide consultant leveraging knowledge of existing data structures and business knowledge to solve problems
Own the vision for analytical systems (or subsystems), be accountable for integrating these systems into existing business process and software, and design and maintain the consolidated product roadmap for future ongoing evolution of these systems
Be an expert in the data, including source systems, design data integration solutions, data validation, and data testing processes
Be an expert in our applications, understand how our systems and applications receive data, how it is stored and used, and the underlying processes that leverage it
Be a problem solver, when presented with new challenges, you are expected to research and network to find solutions
Be a hands-on data expert who can design, build and manage our data pipelines
Be a hands-on with developing and implementing robust and fault tolerant system for data ingestions and processing.
Seek out answers to business problems, and look for opportunities to automate processes
Collaborate with partners, App Engineering, Decision Science, Finance, Revenue Management, Marketing, and Sales throughout the development process to ensure solutions are built cohesively and meet requirements
Proactivity communicates with technical and non-technical stakeholders, seek to learn, and understand, and potentially challenge existing processes in order to continuously seek improvement efficiencies
Hands-on with database design, and architecture methodologies and development life cycle
Hands-on experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage system (HDFS, S3)
Hands-on experience with ensuring security, integrity, and compliance of data according to industry and company standards
Qualifications
All candidates must meet the qualifications below:
3+ years of complex experience in software or data engineering
2+ years of experience with OpenAI, AzureOpenAI in a production capacity
3+ years of experience with Python/ PySpark/AWSGlue/AWSCrawler/ AWSAthena
3+ years of experience with gathering data (batch data ingestion, real-time data ingestion, data streams)
3+ years of experience with data-prep (data cleaning, data normalization, reduction, data aggregation)
3+ years of experience with cloud computing and processing of parallel date sources
3+ years of experience with data storage (structured data, semi-structured data, unstructured data
3+ years of experience with MSSQL/Postgres/MYSQL
3+ years of experience with cloud-based technologies preferable AWS EC2, S3, Redshift, RDS, Glue, Lambda, Snowflake
3+ years of experience with designing, building relational databases (preferably MSSQL/Redshift/Snowflake)
3 + years of experience with GitHub and Git flow
3 + years of experience with Continuous Integration and Continuous Delivery (CI/CD)
3+ years of experience with data pipeline platforms like Apache Airflow, Glue, TalendD, Informatica
Strong understanding of analytical data tiers like MSSQL, MYSQL, Athena, Redshift, Snowflake
Strong understanding of transactional data tiers like MSSQL, MYSQL, Postgres, MongoDB
Proficient in a variety of data science methods, scalable infrastructure setup, software development, and system architecture
Proven ability to leverage best practices around data engineering development process
Self-motivated with a move-fast mindset able to work independently in high-paced environment while adhering to strict deadlines with constant supervision
Data visualization experience with platforms like (Juniper Notebooks, Tableau, Domo, Quicksight, Looker)
Proactive communication skills with experience guiding results across cross-matrixed teams
Experience in establishing, implementing, and socializing analytics best practices with both technical and non-technical stakeholders
Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
Excellent written, verbal and listing communication skills
Experience working in an agile environment
Must have the ability to travel for training, conferences or supported business locations
Must have strong organizational and time management skills
Extensive knowledge and experience of modern data architecture and modern technologies such as data appliances, distributed computing and Hadoop, data streaming, analytics, machine learning, and artificial intelligence
REQUIRED EDUCATION:
Bachelor???s degree in Computer Science, Engineering, Mathematics, Finance, Economics, Data Mining, Analytics, Statistics, or other quantitative field; Master???s Degree preferred
PREFERRED QUALIFICATIONS:
Knowledge of the fields of revenue management, finance, and ecommerce business
Strong understanding of advanced analytical methods
Experience developing short and long-term product roadmaps for implementation and sustainment
Technical expertise applied to rapidly changing, highly agile requirements
Proficiency in automation and improving existing processes
Knowledge of high transactional ecommerce B2C and B2B businesses
ExperienceA with Data Management Platforms
Fully Remote
Benefit Package:
Health Assistants
• Medical/Prescription Drug
• Virtual Care Visits
• Dental/Vision
• Expert Medical Opinions
• Centers of Excellence
• Specialty Pharmacy
Rx Drug Savings
• Wellness Videos
• Fitness Reimbursements
• Diabetes Program
• Biometric Screenings
• Weight Management
• Tobacco Cessation
• Retiree Healthcare
• Personal Counseling
• Virtual Mental
Healthcare Visits
• Wellbeing Coaching
• Digital Mental Wellbeing
Tools
• Meditations and
Sleep Improvement
• Financial Planning
• 401(k) with Company Match
• 401(k) Investment Advisors
• Employee Stock Purchase
Program (ESPP)
• Healthcare Flexible
Spending Account (FSA)
• Short-Term Disability (STD)
• Long-Term Disability (LTD)
• Commuter Benefits
• Everyday Discounts
• Tuition Reimbursement
• AD&D Insurance
• Accident and Critical Illness
Insurance
• Life Insurance
• Pet Insurance
• Identity Theft Protection
• Auto and Home Insurance
• Legal Benefits
• Xfinity Promoter Experience
• myParenthood
Support Team
• Paid Parental Leave
• Adoption Assistance
• Dependent Care FSA
• Caregiving Resources
and Support
• Child Learning and
Behavior Support
• Family Educational
Resources
• Military Support
• Benefits Service Center
• myBenefits
Pay Details: $170,000.00 to $180,000.00 per year Search managed by: Sarah ScheidEqual Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records subject to federal contractor requirements and/or security clearance requirements.
Sr. Applied Data Engineer - Remote
LHH
18 days ago
$170,000.00 - $180,000.00 per Year
Direct Hire
Jacksonville, Florida
Senior Applied Data Engineer
Orlando, Florida
*Fully Remote*
Salary: $170000-$180000
JOB SUMMARY: Applied Data Engineer role is responsible for all aspects of data platform, data integration, and data analytics. The role will be hands-on and will be responsible for helping business drive data-driven decisions and solving business opportunities through data. This role will be leading improvements of existing data solutions and development of new solutions by scoping, implementing, and testing in order to address business requirements.
??
KEY RESPONSIBILITIES:
Act as a company-wide consultant leveraging knowledge of existing data structures and business knowledge to solve problems
Own the vision for analytical systems (or subsystems), be accountable for integrating these systems into existing business process and software, and design and maintain the consolidated product roadmap for future ongoing evolution of these systems
Be an expert in the data, including source systems, design data integration solutions, data validation, and data testing processes
Be an expert in our applications, understand how our systems and applications receive data, how it is stored and used, and the underlying processes that leverage it
Be a problem solver, when presented with new challenges, you are expected to research and network to find solutions
Be a hands-on data expert who can design, build and manage our data pipelines
Be a hands-on with developing and implementing robust and fault tolerant system for data ingestions and processing.
Seek out answers to business problems, and look for opportunities to automate processes
Collaborate with partners, App Engineering, Decision Science, Finance, Revenue Management, Marketing, and Sales throughout the development process to ensure solutions are built cohesively and meet requirements
Proactivity communicates with technical and non-technical stakeholders, seek to learn, and understand, and potentially challenge existing processes in order to continuously seek improvement efficiencies
Hands-on with database design, and architecture methodologies and development life cycle
Hands-on experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage system (HDFS, S3)
Hands-on experience with ensuring security, integrity, and compliance of data according to industry and company standards
Qualifications
All candidates must meet the qualifications below:
3+ years of complex experience in software or data engineering
2+ years of experience with OpenAI, AzureOpenAI in a production capacity
3+ years of experience with Python/ PySpark/AWSGlue/AWSCrawler/ AWSAthena
3+ years of experience with gathering data (batch data ingestion, real-time data ingestion, data streams)
3+ years of experience with data-prep (data cleaning, data normalization, reduction, data aggregation)
3+ years of experience with cloud computing and processing of parallel date sources
3+ years of experience with data storage (structured data, semi-structured data, unstructured data
3+ years of experience with MSSQL/Postgres/MYSQL
3+ years of experience with cloud-based technologies preferable AWS EC2, S3, Redshift, RDS, Glue, Lambda, Snowflake
3+ years of experience with designing, building relational databases (preferably MSSQL/Redshift/Snowflake)
3 + years of experience with GitHub and Git flow
3 + years of experience with Continuous Integration and Continuous Delivery (CI/CD)
3+ years of experience with data pipeline platforms like Apache Airflow, Glue, TalendD, Informatica
Strong understanding of analytical data tiers like MSSQL, MYSQL, Athena, Redshift, Snowflake
Strong understanding of transactional data tiers like MSSQL, MYSQL, Postgres, MongoDB
Proficient in a variety of data science methods, scalable infrastructure setup, software development, and system architecture
Proven ability to leverage best practices around data engineering development process
Self-motivated with a move-fast mindset able to work independently in high-paced environment while adhering to strict deadlines with constant supervision
Data visualization experience with platforms like (Juniper Notebooks, Tableau, Domo, Quicksight, Looker)
Proactive communication skills with experience guiding results across cross-matrixed teams
Experience in establishing, implementing, and socializing analytics best practices with both technical and non-technical stakeholders
Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
Excellent written, verbal and listing communication skills
Experience working in an agile environment
Must have the ability to travel for training, conferences or supported business locations
Must have strong organizational and time management skills
Extensive knowledge and experience of modern data architecture and modern technologies such as data appliances, distributed computing and Hadoop, data streaming, analytics, machine learning, and artificial intelligence
REQUIRED EDUCATION:
Bachelor???s degree in Computer Science, Engineering, Mathematics, Finance, Economics, Data Mining, Analytics, Statistics, or other quantitative field; Master???s Degree preferred
PREFERRED QUALIFICATIONS:
Knowledge of the fields of revenue management, finance, and ecommerce business
Strong understanding of advanced analytical methods
Experience developing short and long-term product roadmaps for implementation and sustainment
Technical expertise applied to rapidly changing, highly agile requirements
Proficiency in automation and improving existing processes
Knowledge of high transactional ecommerce B2C and B2B businesses
ExperienceA with Data Management Platforms
Fully Remote
Benefit Package:
Health Assistants
• Medical/Prescription Drug
• Virtual Care Visits
• Dental/Vision
• Expert Medical Opinions
• Centers of Excellence
• Specialty Pharmacy
Rx Drug Savings
• Wellness Videos
• Fitness Reimbursements
• Diabetes Program
• Biometric Screenings
• Weight Management
• Tobacco Cessation
• Retiree Healthcare
• Personal Counseling
• Virtual Mental
Healthcare Visits
• Wellbeing Coaching
• Digital Mental Wellbeing
Tools
• Meditations and
Sleep Improvement
• Financial Planning
• 401(k) with Company Match
• 401(k) Investment Advisors
• Employee Stock Purchase
Program (ESPP)
• Healthcare Flexible
Spending Account (FSA)
• Short-Term Disability (STD)
• Long-Term Disability (LTD)
• Commuter Benefits
• Everyday Discounts
• Tuition Reimbursement
• AD&D Insurance
• Accident and Critical Illness
Insurance
• Life Insurance
• Pet Insurance
• Identity Theft Protection
• Auto and Home Insurance
• Legal Benefits
• Xfinity Promoter Experience
• myParenthood
Support Team
• Paid Parental Leave
• Adoption Assistance
• Dependent Care FSA
• Caregiving Resources
and Support
• Child Learning and
Behavior Support
• Family Educational
Resources
• Military Support
• Benefits Service Center
• myBenefits
Pay Details: $170,000.00 to $180,000.00 per year Search managed by: Sarah ScheidEqual Opportunity Employer/Veterans/Disabled
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records subject to federal contractor requirements and/or security clearance requirements.