drjobs Data Technical Lead

Data Technical Lead

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Mclean - USA

Monthly Salary drjobs

$ 160000 - 190000

Vacancy

1 Vacancy

Job Description

Overview

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

At Steampunk our goal is to build and execute a data strategy for our clients to coordinate data collection and generation to align the organization and its data assets in support of the mission and ultimately to realize mission goals with the strongest effectiveness possible.

For our clients data is a strategic asset. They are looking to become a factsbased datadriven customerfocused organization. To help realize this goal they are leveraging visual analytics platforms to analyze visualize and share information. At Steampunk you will design and develop solutions to highimpact complex data problems working with the best and data practitioners around. Our data exploitation approach is tightly integrated with HumanCentered Design and DevSecOps.

Contributions

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. 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 agents 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 customers identity
  • Design and implement data acquisition pipelines to ensure clean structured and highquality data ingestion from a web application with formbased inputs applying validation transformation and deduplication techniques to enhance data integrity
  • Develop scalable data integration solutions by enabling realtime 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 transactionbased model to a customercentric 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

Qualifications

  • Ability to hold a position of public trust with the US government.
  • 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 webbased interfaces dashboards reports and analytics/machine learning models

About steampunk

Steampunk relies on several factors to determine salary including but not limited to geographic location contractual requirements education knowledge skills competencies and experience. The projected compensation range for this position is $160000 to $190000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunks total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry bringing new thinking to clients in the Homeland Federal Civilian Health and DoD sectors. Through our HumanCentered delivery methodology we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company we focus on investing in our employees to enable them to do the greatest work of their careers and rewarding them for outstanding contributions to our growth. If you want to learn more about our story visit .

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by participates in the EVerify program.

Employment Type

Unclear

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.