Senior Machine Learning Data Engineer - Washington Court House, United States - System One

Description

Washington Court House, OH |

$70K - $75K
Bachelor's degree in computer science or a related field
Minimum of 6-8 years of experience in building data driven solutions
Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools
Strong scripting experience using Python and SQL
Working knowledge of foundational AWS compute, storage, networking and IAM
Solid scripting experience in AWS using lambda functions
Good to have knowledge of CloudFormation template
Overall experience with AWS services should be over three years
Hands on experience with popular cloud-based data warehouse platforms, viz
Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc
Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables
Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts
Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions
Strong understanding of the importance and benefits of good data quality, and the ability to champion results
Experience with one or more data integration tools viz
Strong understanding of data security - authorization, authentication, encryption, and network security
Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items
Responsibilities

Senior Data/ML Engineer is responsible for solution engineering of enterprise scale data management best practices

This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns.

This role will be responsible for developing data integration tasks in the data and analytics space
This position will report to Sr
Director of Data Management & Analytics group under Data Operations organization
Demonstrate expert ability in implementing data warehouse solutions using Snowflake
Building data integration solutions between transaction systems and analytics platform
Expand data integration solutions to ingest data from internal and external sources and to further transform as per
the business consumption needs
Create security policies in Snowflake to manage fine grained access control
Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting
Lead POC efforts to build foundational AI/ML services for Predictive Analytics
Building of data products by data enrichment and ML
Be a team player and share knowledge with the existing team members
Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures

Pay:
$70-75/hr W2 Range

System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan
Qualifications

Bachelor's degree in computer science or a related field
Minimum of 6-8 years of experience in building data driven solutions
Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools
Strong scripting experience using Python and SQL
Working knowledge of foundational AWS compute, storage, networking and IAM
Solid scripting experience in AWS using lambda functions
Good to have knowledge of CloudFormation template
Overall experience with AWS services should be over three years
Hands on experience with popular cloud-based data warehouse platforms, viz
Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc
Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables
Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts
Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions
Strong understanding of the importance and benefits of good data quality, and the ability to champion results
Experience with one or more data integration tools viz
Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc
Strong understanding of data security - authorization, authentication, encryption, and network security
Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items
Responsibilities

Senior Data/ML Engineer is responsible for solution engineering of enterprise scale data management best practices

This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns.

This role will be responsible for developing data integration tasks in the data and analytics space
This position will report to Sr
Director of Data Management & Analytics group under Data Operations organization
Demonstrate expert ability in implementing data warehouse solutions using Snowflake
Building data integration solutions between transaction systems and analytics platform
Expand data integration solutions to ingest data from internal and external sources and to further transform as per
the business consumption needs
Create security policies in Snowflake to manage fine grained access control
Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting
Lead POC efforts to build foundational AI/ML services for Predictive Analytics
Building of data products by data enrichment and ML
Be a team player and share knowledge with the existing team members
Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures
Benefits


Pay:
$70-75/hr W2 Range

System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan

ALTA IT Services is staffing a contract to hire opportunity for a Senior Machine Learning Data Engineer to support a Financial Services client.

Senior Machine Learning Data Engineer
100% Remote...
Contact to Hire

Pay:
$70-75/hr W2 Range

Must be USC or GC
Contract - W2 hourly only - Subcontracting not available for this client

Responsibilities:
Senior Data/ML Engineer is responsible for solution engineering of enterprise scale data management best practices.

This includes patterns such as - modern data integration frameworks, building of scalable distributed systems using emerging cloud-based data design patterns.

This role will be responsible for developing data integration tasks in the data and analytics space. This position will report to Sr. Director of Data Management & Analytics group under Data Operations organization. This is an individual performer role.
Key Job Functions

• Demonstrate expert ability in implementing data warehouse solutions using Snowflake.
• Building data integration solutions between transaction systems and analytics platform.
• Expand data integration solutions to ingest data from internal and external sources and to further transform as per

- the business consumption needs.

• Create security policies in Snowflake to manage fine grained access control
• Develop tasks for a multitude of data patterns, e.g., realtime data integration, advanced analytics, machine learning, BI and reporting.
• Lead POC efforts to build foundational AI/ML services for Predictive Analytics.
• Building of data products by data enrichment and ML.
• Be a team player and share knowledge with the existing team members.

Qualifications:

• Bachelor's degree in computer science or a related field
• Minimum of 68 years of experience in building data driven solutions.

Specialized Knowledge & Skills:

• Expertise in realtime data solutions, goodtohave knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools.
• Strong scripting experience using Python and SQL
• Working knowledge of foundational AWS compute, storage, networking and IAM.
• Solid scripting experience in AWS using lambda functions. Good to have knowledge of CloudFormation template.
• Overall experience with AWS services should be over three years.
• Hands on experience with popular cloudbased data warehouse platforms, viz. Redshift, Snowflake.
• Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semistructured and unstructured data across cloud services
• Hands on experience in using and extending machine learning framework and libraries, e.g, scikitlearn, PyTorch, TensorFlow, XGBoost etc.
• Experience with AWS SageMaker family of services or similar tools to develop machine learning models.
• Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pretuning will be a plus
• Demonstrated ability to be selfdirected with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables.
• Strong communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts.
• Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions.
• Strong understanding of the importance and benefits of good data quality, and the ability to champion results

- across functions.

• Experience with one or more data integration tools viz. Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc.
• Strong understanding of data security authorization, authentication, encryption, and network security.
• Ability to lead collaborative meetings which result in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & followup for action items.
• Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.

#M2

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America.

We help clients get work done more efficiently and economically, without compromising quality.

System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law

Company information
System One is one of the largest outsourced services and workforce solutions firms in the United States. We are dedicated professionals ready to support your business needs.

For over 40 years, we've evolved and expanded our nationwide delivery across multiple specialty areas, including engineering, energy, telecom, technology, legal, life sciences, creative & digital, and government.

We pride ourselves on being a company of experts dedicated to saying "yes." Because we say yes and invest in the future, we push the boundaries of innovative services and solutions to accomplish what other firms do not deliver.

System One hires professionals across our network to work with our clients, some of whom are industry leaders and nationally branded organizations.

We offer contract, contract-to-hire, and direct hire positions. Because we are highly specialized, we have better connections, market knowledge, and career opportunities. So get in touch with us, and let's find your next challenge.
Transportation, Information Technology, Financial Services, Construction, Health Care, Pharmaceuticals, Computer Software, Telecommunications, Information Technology and Services, Engineering

Company Specialties:
Energy, Scientific, Clinical & Healthcare, Professional, QA/QC/NDE, Commercial & Industrial, Information Technology, Legal, Telecom, Marketing, Marine, Vendor Management Systems, Engineering, Transit, Renewable Energy, Creative and Digital, eDiscovery, Recruitment Process Outsourcing, Managed Staffing Programs, Managed IT Services, Government, Industrial, Critical Infrastructure, Life Sciences, and Technology

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