The Life Data Platform team is responsible for acquiring, integrating, governing, modeling, and publishing enterprise data across on-premises and cloud platforms. The Associate Data Engineer will support the design, development, and maintenance of data pipelines, data models, and enterprise data products.
Responsibilities
Develop, maintain, and support scalable data pipelines and data integration solutions.
Assist in building and supporting enterprise data products for reporting, analytics, and operational use cases.
Develop and maintain data models, data warehouses, and dimensional modeling solutions with guidance from senior team members.
Integrate data from internal systems, cloud platforms, APIs, and third-party vendors.
Partner with stakeholders to understand business requirements and translate them into technical solutions.
Requirements
Bachelor's degree in a technical, engineering, quantitative, or related discipline
Nice to have: AWS ecosystem experience
Nice to have: Dremio
Nice to have: Data Catalog technologies
Nice to have: Experience supporting analytical and operational data products
Transform your career by building and modernizing digital solutions for Fortune 100 brands and mid‑market firms, leveraging AI/ML, cloud, and data engineering to deliver scalable products and insights.
Internship supporting U.S. Department of Defense-funded programs as a Machine Learning Engineer.
Compensation
$18.50/hour
Responsibilities
Build and maintain data pipelines within Palantir’s Maven Smart Systems (MSS) to ensure mission datasets are properly ingested, validated, structured, and optimized for analytic and machine‑learning workflows.
Design and implement AI/ML workflows inside MSS, including feature engineering, model evaluation, and preparing model outputs for operational use across CDAO and J8.
Develop MSS‑based analytic tools that support SOF resourcing analysis, enabling data‑driven tradeoffs, trend identification, and visualization of operational insights.
Create user‑facing applications and interfaces in MSS that allow analysts and decision‑makers to interact with models, dashboards, and mission datasets without technical barriers.
Prototype, test, and document machine‑learning models that address SOCOM problem sets, collaborating with engineers to transition prototypes into stable, platform‑ready components.
Requirements
Bachelor's degree in an accredited university program
Provide database expertise and technical guidance to a development team supporting enterprise applications, design and implement data infrastructure, ETL pipelines, and integration solutions.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, and geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Design and implement ETL workflows using Informatica, and Glue
Develop data transformation logic for schema compliance, data accuracy, and data quality
Integrate data from on-prem, cloud, and legacy systems
Implement data validation and quality checks
Optimize pipeline performance and reliability
Requirements
Bachelor’s Degree
High School Diploma/equivalent
Nice to have: Active IRS MBI Clearance
Nice to have: Databricks foundational/basic certification
Virtasant is looking for Lead and Senior Data Engineers to build and scale multi-tenant data platforms for global clients, focusing on healthcare and workforce-related data.
Compensation
Multi-month engagement, likely to extend
Responsibilities
Build and maintain multi-tenant data platforms with strict isolation
Design and implement scalable data architectures using Snowflake and Azure
Develop layered pipelines (raw, cleaned, modelled) using dbt
Define and enforce data contracts and schema evolution
As a Custom Software Engineer, your day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications.
Responsibilities
Perform independently and become an SME.
Active participation/contribution in team discussions.
Contribute in providing solutions to work related problems.
Collaborate with cross-functional teams to understand project requirements and deliver effective software solutions.
Maintain and improve existing software components to enhance performance and reliability.
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