[Remote] ML/AI Data Engineer (Remote)

Note: The job is a remote job and is open to candidates in USA. FEI Systems is dedicated to creating innovative technology solutions for health and human services. They are seeking a Data Engineer to support enterprise Machine Learning and Artificial Intelligence initiatives by building, operating, and maintaining data pipelines and ensuring high-quality data for ML/AI solutions.

Responsibilities
• Design, build, and maintain scalable data pipelines to support ML/AI workloads
• Ingest data from multiple sources into the Snowflake data lake using batch and streaming patterns
• Develop and maintain ELT pipelines leveraging Snowflake-native capabilities
• Ensure pipelines are reliable, performant, and production-ready
• Perform data transformations directly in Snowflake using SQL and Snowflake features
• Design and optimize schemas, tables, views, and materialized views for ML/AI consumption
• Implement transformation logic supporting analytics, feature engineering, and model training
• Optimize Snowflake usage for performance and cost efficiency
• Implement data quality checks, validation rules, and monitoring within pipelines and Snowflake
• Support data governance initiatives including metadata management, lineage, and access controls
• Ensure datasets adhere to enterprise standards for security, privacy, and compliance
• Identify, troubleshoot, and remediate data quality issues impacting ML/AI workflows
• Perform data cleansing, normalization, and enrichment to support ML model development
• Design and implement feature engineering pipelines, including feature aggregation and transformation
• Ensure consistency, reuse, and versioning of features across models and use cases
• Collaborate with ML engineers and data scientists to operationalize features from Snowflake into training pipelines
• Support and execute model training workflows, including dataset preparation and refreshes
• Automate data preparation steps for experimentation, retraining, and scheduled runs
• Ensure training datasets and features are reproducible, traceable, and auditable
• Integrate data pipelines and Snowflake transformations into CI/CD workflows
• Support version control, testing, and deployment of data assets
• Monitor pipeline health, data freshness, and downstream impacts on ML/AI systems
• Partner with platform, ML, and DevOps teams to improve operational maturity

Skills
• Strong proficiency in Python for data processing and pipeline development
• Advanced SQL skills, with hands-on experience transforming data in Snowflake
• Experience designing ELT pipelines using Snowflake as the central data lake
• Understanding of Snowflake performance tuning and cost optimization concepts
• Experience working within the AWS ecosystem, including services such as: S3, Glue, Athena, Lambda, Step Functions, Kinesis, Snowpipe or MSK (preferred)
• Experience integrating Snowflake with AWS-based ingestion and processing pipelines
• Exposure to Amazon SageMaker data preparation and training workflows
• Understanding of data requirements for machine learning and AI workloads
• Experience preparing training datasets and features from enterprise data lakes
• Familiarity with reproducibility, dataset versioning, and data lineage concepts
• Experience operating within a structured SDLC
• Familiarity with CI/CD pipelines for data and ML workflows
• Understanding of API-based and event-driven data integration patterns
• Experience supporting distributed data processing environments
• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field
• Experience supporting ML/AI platforms or products in production
• Familiarity with feature stores and ML data management tools
• Exposure to data observability, quality, and monitoring solutions
• Experience working in governance-heavy or regulated environments
• Snowflake or AWS certifications (preferred, not required)
• Experience leveraging ML/AI in a highly regulated healthcare environment (Understanding of HIPAA, 42CFR Part 2 and other privacy regulations)

Benefits
• Full company benefits

Company Overview
• FEi is a leading information technology, services, and analysis It was founded in 1999, and is headquartered in Columbia, Maryland, USA, with a workforce of 501-1000 employees. Its website is http://www.feisystems.com/.

Company H1B Sponsorship
• FEI Systems has a track record of offering H1B sponsorships, with 24 in 2025, 20 in 2024, 24 in 2023, 36 in 2022, 30 in 2021, 31 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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