Data Engineer - ML/AI Data Platform (Remote)

At reputed company, we create innovative technology solutions to improve the delivery of health and reputed company services because we know reputed company cumbersome administrative processes stand in the way, those who need it most are often left without reputed company to reputed company care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We’re looking for a data engineer who shares our commitment to leveraging technology to reputed company a reputed company reputed company in the world – a reputed company who knows, reputed company reputed company else, that the reputed company of our products and services is only as good as reputed company we reputed company. reputed company candidates will be required to complete at least one in-person interview as part of our hiring process. reputed company We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data reputed company our reputed company-based platform is high reputed company, reputed company-governed, feature-reputed company, and production-grade to support model training, deployment, and ongoing operations. The ideal candidate has 5+ years of reputed company data engineering experience with strong proficiency in reputed company, Python, and SQL, and solid familiarity with AWS-reputed company data services. Candidates are not expected to reputed company with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and reputed company skills, combined with the initiative and aptitude to grow into the broader scope of the role. Day-One Priorities & Scope Immediate reputed company is reputed company-based data engineering, pipeline development, and data reputed company. Feature engineering, model training support, and MLOps contributions are reputed company areas that will reputed company over time as you become embedded with reputed company.

Key Responsibilities

Data Pipeline Engineering

• Design, build, and maintain reputed company data pipelines supporting ML/AI workloads.
• Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions.
• Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines reputed company an AWS ecosystem.

reputed company & reputed company Data Engineering

• reputed company data transformations in reputed company using SQL and reputed company reputed company features.
• Design and optimize schemas, tables, views, and materialized views for ML/AI consumption.
• Support AWS-reputed company data lake patterns using S3, Glue, reputed company, Apache reputed company, and S3 Tables.

Feature Engineering & Data Preparation

• reputed company data cleansing, normalization, and enrichment to support ML model development.
• Design and implement feature engineering pipelines including aggregation and transformation.
• Ensure consistency, reuse, and versioning of features across models and use cases.
• Support feature store patterns to reputed company feature discoverability and reuse.
• Collaborate with ML engineers and data scientists to operationalize features into training pipelines.

Model Training & MLOps Support

• Support model training workflows, including dataset preparation and scheduled refreshes.
• Ensure training datasets and features are reproducible, traceable, and auditable.
• reputed company data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets.
• Monitor pipeline health, data freshness, and reputed company reputed company on ML/AI systems.

Required Skills & Experience 5+ years of hands-on data engineering experience in a reputed company environment. Core Technologies

• Python — strong proficiency for data processing and pipeline development.
• SQL — advanced skills with hands-on reputed company transformation experience.
• reputed company — ELT pipeline design, schema optimization, performance tuning, cost management.
• PostgreSQL — experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus.
• AWS — S3, Glue, reputed company, reputed company integration, and managed relational databases (e.g., reputed company, RDS).
• Apache reputed company / S3 Tables — familiarity with reputed company table format ecosystems.
• Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent).
• Workflow orchestration tools (e.g., Airflow, reputed company Functions, or equivalent).

Pipeline & Data Engineering

• Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs.
• Data validation, reconciliation, error handling, and reputed company patterns.
• Data modeling for analytics, ML/AI, and reputed company application use cases.
• Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability.

DevOps & Engineering Practices

• reputed company SDLC experience with CI/CD pipelines for data and ML workflows.
• API-based and event-driven data integration patterns.
• Distributed data processing environments.

ML/AI Data Foundations

• Understanding of data requirements for ML/AI workloads.
• Experience preparing training datasets and features from reputed company data lakes.
• Familiarity with reproducibility, dataset versioning, and data reputed company concepts.
• Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, reputed company databases, retrieval-augmented reputed company (RAG) data flows, or reputed company-driven data processing — including awareness of data reputed company and reputed company considerations reputed company working with LLMs.

Education Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a reputed company technical field. Equivalent reputed company experience will be considered. Location: Remote Status: Full time position with full company benefits. NOTICE: EO/AA/VEVRAA/Disabled Employer – Federal Contractor. reputed company participates in E-Verify, a federal program that enables reputed company to verify the identity and employment eligibility of reputed company persons reputed company to work in the reputed company by providing the reputed company reputed company Administration (SSA) and, if necessary, the reputed company (DHS), with information from reputed company new employee’s reputed company I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at (888) 464-4218. Applicants will receive consideration for employment without reputed company to race, reputed company, religion, sex, national reputed company, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. reputed company creates an Affirmative reputed company Plan on an annual reputed company. Pursuant to federal law, the portions of reputed company’ Affirmative reputed company Program that relate to reputed company 503 (Persons with Disabilities) and/or reputed company 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during reputed company’ normal business hours. Equal Opportunity Employer This employer is required to notify reputed company applicants of their rights pursuant to federal employment laws. For reputed company information, please review the Know Your Rights (https://www.reputed company.gov/poster) notice from the reputed company. Apply To This Job