System One
Senior Machine Learning Data Engineer - W2 ONLY
System One, Washington, District of Columbia, us, 20022
ALTA IT Services is staffing a contract to hire opportunity for a Senior Machine Learning Data Engineer to support a Financial Services client.Position:
Senior Machine Learning Data EngineerLocation:
100% RemoteType:
Contact to HirePay:
$70-75/hr W2 RangeEligibility:
Must be USC or GCContract:
W2 hourly only – Subcontracting not available for this clientResponsibilities
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 and building 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 the Sr. Director of Data Management & Analytics group under the Data Operations organization. This is an individual performer role.Key Job Functions
Demonstrate expert ability in implementing data warehouse solutions using Snowflake.Build data integration solutions between transaction systems and analytics platforms.Expand data integration solutions to ingest data from internal and external sources and further transform as per 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.Build data products through data enrichment and ML.Be a team player and share knowledge with existing team members.Qualifications
Bachelor’s degree in computer science or a related field.Minimum of 6-8 years of experience in building data-driven solutions.Specialized Knowledge & Skills
Expertise in real-time data solutions; good-to-have knowledge of stream 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, e.g., Redshift, Snowflake.Experience in building data pipelines with an understanding of data ingestion, transformation of structured, semi-structured, and unstructured data across cloud services.Hands-on experience in using and extending machine learning frameworks and libraries, e.g., scikit-learn, 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 pre-tuning will be a plus.Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, consistently meeting or exceeding 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, e.g., Attunity (Qlik), AWS Glue ETL, Talend, Kafka, etc.Strong understanding of data security – authorization, authentication, encryption, and network security.Ability to lead collaborative meetings resulting in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items.Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, and MOUNTAIN, LTD., are leaders in delivering outsourced services and workforce solutions 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 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.
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Senior Machine Learning Data EngineerLocation:
100% RemoteType:
Contact to HirePay:
$70-75/hr W2 RangeEligibility:
Must be USC or GCContract:
W2 hourly only – Subcontracting not available for this clientResponsibilities
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 and building 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 the Sr. Director of Data Management & Analytics group under the Data Operations organization. This is an individual performer role.Key Job Functions
Demonstrate expert ability in implementing data warehouse solutions using Snowflake.Build data integration solutions between transaction systems and analytics platforms.Expand data integration solutions to ingest data from internal and external sources and further transform as per 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.Build data products through data enrichment and ML.Be a team player and share knowledge with existing team members.Qualifications
Bachelor’s degree in computer science or a related field.Minimum of 6-8 years of experience in building data-driven solutions.Specialized Knowledge & Skills
Expertise in real-time data solutions; good-to-have knowledge of stream 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, e.g., Redshift, Snowflake.Experience in building data pipelines with an understanding of data ingestion, transformation of structured, semi-structured, and unstructured data across cloud services.Hands-on experience in using and extending machine learning frameworks and libraries, e.g., scikit-learn, 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 pre-tuning will be a plus.Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, consistently meeting or exceeding 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, e.g., Attunity (Qlik), AWS Glue ETL, Talend, Kafka, etc.Strong understanding of data security – authorization, authentication, encryption, and network security.Ability to lead collaborative meetings resulting in clearly documented outcomes, a concrete understanding of meeting attendee performance/reliability, and ongoing management & follow-up for action items.Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures.System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, and MOUNTAIN, LTD., are leaders in delivering outsourced services and workforce solutions 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 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.
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