Data Technical Lead - REMOTE

Responsibilities for this Position

Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ210049

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
None

Job Family:
IT Infrastructure and Operations

Job Qualifications:

Skills:
Amazon Relational Database Service (RDS), Data Solutions, Data Tools, Spark
Certifications:
None
Experience:
10 + years of related experience
US Citizenship Required:
Yes

Job Description:

We are looking for seasoned Data Technical Lead to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more! The Tech Lead needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving.

MEANINGFUL WORK AND PERSONAL IMPACT

This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.

• Designing and leading the implementation of greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices
• Expand upon existing models to estimate how long it will take clients to process digital forms/applications and to present relevant information to users about their application processing journey
• Develop and deploy personalized Application Processing Time predictive models for additional services/forms as prioritized by client
• Add integration points for intelligent automated help agent to connect with external applications and/or data sources, to increase the agent's effectiveness and accuracy
• Create and implement data cleaning and processing strategies to ensure unstructured data is appropriate to present to the end user/customer
• Analyze customer data and biometrics to identify key data points for confirming a customer's identity
• Design and implement data acquisition pipelines to ensure clean structured, and high-quality data ingestion from a web application with form-based inputs, applying validation, transformation, and deduplication techniques to enhance data integrity
• Develop scalable data integration solutions by enabling real-time data sharing across enterprise systems using technologies (e.g., Kafka, AWS Kinesis, oar Apache Pulsar), ensuring seamless interoperability and adherence to data governance standards
• Data Architecture contributions include assessing, understanding, and implementing data sources, data models and schemas, and data workflows
• Data Engineering contributions include assessing, understanding, designing, and implementing ETL jobs, data pipelines, and workflows
• Analyze, validate, and create an ETL process to transition from a transaction-based model to a customer-centric model
• Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists
• Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Enhance chatbot intelligence and user experience by refining LLM and natural language processing (NLP) models, improving response accuracy, and optimizing conversational flows using machine learning techniques and user interaction data
• Support refactoring and optimizing chatbot architecture to improve scalability, efficiency, and maintainability , leveraging advanced AI/ML techniques, integrating with modern data pipelines, and implementing robust monitoring and analytics for continuous improvement
• Key must have skill sets - broad understanding of data exploitation lifecycle and capabilities, technical leadership in the data field
• Support an Agile software development lifecycle

WHAT YOU'LL NEED TO SUCCEED

• Education: Bachelor degree preferred and 5+ years of related experience
• Ability to obtain a DHS Public Trust clearance (USCIS)
• US Citizenship required

• 5+ years industry experience leading the design and implementation of data systems
• 10+ years direct experience in Data Solutions with experience in tools such as:
• Big data tools: Spark
• Relational databases: Amazon RDS (PostgreSQL)
• Cloud Services: AWS services including RDS, ECS, EKS, ElastiCache, SES
• Data pipeline and workflow management tools: Jenkins (for automation and CI/CD in data workflows)
• Data science tools/language: Python (data preparation and analysis libraries)
• Object oriented/scripting languages: Python
• Version control and collaboration: GitHub
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
• Experience with MLOps frameworks and exposure/understanding of DevOps
• Experience with containerized environments such as ECS and EKS for data applications
• Experience with message queuing, stream processing, such as Amazon SQS and highly scalable 'big data' data stores.
• Experience processing, analyzing, extracting, and manipulating structured and unstructured data for analysis
• Experience architecting data systems, including transaction and analytical (data warehouse) architectures
• Experience working in an Agile environment
• Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore an enterprise IT career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward.

The likely salary range for this position is $110,614 - $120,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:
40

Travel Required:
None

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

Join our Talent Community to stay up to date on our career opportunities and events at
gdit.com/tc .

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI279539419

We are looking for seasoned Data Technical Lead to work with our team and our clients to develop enterprise grade data platforms, services, pipelines, data models, visualizations, and more! The Tech Lead needs to be a technologist with excellent communication and customer service skills and a passion for data and problem solving.



MEANINGFUL WORK AND PERSONAL IMPACT


This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.

• Designing and leading the implementation of greenfield data solution stacks in the cloud or on premises, using the latest data services, products, technology, and industry best practices
• Expand upon existing models to estimate how long it will take clients to process digital forms/applications and to present relevant information to users about their application processing journey
• Develop and deploy personalized Application Processing Time predictive models for additional services/forms as prioritized by client
• Add integration points for intelligent automated help agent to connect with external applications and/or data sources, to increase the agent's effectiveness and accuracy
• Create and implement data cleaning and processing strategies to ensure unstructured data is appropriate to present to the end user/customer
• Analyze customer data and biometrics to identify key data points for confirming a customer's identity
• Design and implement data acquisition pipelines to ensure clean structured, and high-quality data ingestion from a web application with form-based inputs, applying validation, transformation, and deduplication techniques to enhance data integrity
• Develop scalable data integration solutions by enabling real-time data sharing across enterprise systems using technologies (e.g., Kafka, AWS Kinesis, oar Apache Pulsar), ensuring seamless interoperability and adherence to data governance standards
• Data Architecture contributions include assessing, understanding, and implementing data sources, data models and schemas, and data workflows
• Data Engineering contributions include assessing, understanding, designing, and implementing ETL jobs, data pipelines, and workflows
• Analyze, validate, and create an ETL process to transition from a transaction-based model to a customer-centric model
• Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists
• Addressing technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Enhance chatbot intelligence and user experience by refining LLM and natural language processing (NLP) models, improving response accuracy, and optimizing conversational flows using machine learning techniques and user interaction data
• Support refactoring and optimizing chatbot architecture to improve scalability, efficiency, and maintainability , leveraging advanced AI/ML techniques, integrating with modern data pipelines, and implementing robust monitoring and analytics for continuous improvement
• Key must have skill sets - broad understanding of data exploitation lifecycle and capabilities, technical leadership in the data field
• Support an Agile software development lifecycle

WHAT YOU'LL NEED TO SUCCEED

• Education: Bachelor degree preferred and 5+ years of related experience
• Ability to obtain a DHS Public Trust clearance (USCIS)
• US Citizenship required

• 5+ years industry experience leading the design and implementation of data systems
• 10+ years direct experience in Data Solutions with experience in tools such as:
• Big data tools: Spark
• Relational databases: Amazon RDS (PostgreSQL)
• Cloud Services: AWS services including RDS, ECS, EKS, ElastiCache, SES
• Data pipeline and workflow management tools: Jenkins (for automation and CI/CD in data workflows)
• Data science tools/language: Python (data preparation and analysis libraries)
• Object oriented/scripting languages: Python
• Version control and collaboration: GitHub
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
• Experience with MLOps frameworks and exposure/understanding of DevOps
• Experience with containerized environments such as ECS and EKS for data applications
• Experience with message queuing, stream processing, such as Amazon SQS and highly scalable 'big data' data stores.
• Experience processing, analyzing, extracting, and manipulating structured and unstructured data for analysis
• Experience architecting data systems, including transaction and analytical (data warehouse) architectures
• Experience working in an Agile environment
• Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models

GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Flexibility: Full-flex work week to own your priorities at work and at home
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY
Explore an enterprise IT career at GDIT and you'll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward.


The likely salary range for this position is $110,614 - $120,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.



Scheduled Weekly Hours:
40



Travel Required:
None



Telecommuting Options:
Remote



Work Location:
Any Location / Remote



Additional Work Locations:



Total Rewards at GDIT:
Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.


We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.


Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc .


Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI279539419