Associate Data and AI Engineer

Implement data pipelines integrating structured, semi-structured, and unstructured data for Predictive, AI, and Agentic solutions Build and maintain scalable, robust ML- and AI-driven systems using Snowflake, REST APIs, AWS, or GCP infrastructure Collaborate with Enterprise Data, IT, Cloud Enablement, and Enterprise Architecture teams and external partners Translate business requests into technical requirements for small and medium-complexity engineering tasks Validate internal and external data sources for availability and quality Work with subject matter experts to describe and understand data lineage and suitability for use cases Develop code enabling real-time modeling solutions to be ingested into front-end systems Develop batch solutions implemented through modern scheduling and orchestration tools Produce reproducible code artifacts and documentation using GitHub for handoff to other teams Ensure reliability, availability, and scalability through monitoring, alerting, and incident management Collaborate with AI Ops and infrastructure teams on deployment, operation, and maintenance of AI/ML systems Requirements Must be authorized to work in the U.S. now and in the future Bachelor’s degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline Experience developing solutions using Python and SQL Experience using AI code assistants as part of daily workflow Familiarity working with GitHub Familiarity working in an Agile team, creating user stories, and planning/managing work over extended periods of time Exposure to data ingestion from relational databases, Hadoop/Spark, cloud data sources, XML, JSON, CSV, or Parquet Exposure to ETL concepts, metadata management, and data validation Exposure to automation tools such as Autosys, Cron, or Airflow Exposure to GCP or AWS services is a plus Exposure to CloudFormation, Terraform, TeamCity, Jenkins, Octopus, and other IaC tools and platforms is a plus Exposure to cloud data warehouses, automation, and data pipelines such as Snowflake, Redshift, or BigQuery is a plus Able to communicate effectively with technical and non-technical teams Able to translate complex technical topics into business solutions and strategies Must be authorized to work in the US without company sponsorship The company will not support the STEM OPT I-983 Training Plan endorsement for this position Core Competencies Demonstrates expertise in developing scalable ML and AI-driven systems using Python, SQL, and cloud platforms like AWS and GCP. Proficient in data pipeline implementation, data validation, and collaboration with cross-functional teams to translate business needs into technical solutions. Highest-signal resume keywords Python Development SQL Proficiency Data Pipeline Implementation Cloud Infrastructure (AWS, GCP) Agile Methodology ATS Optimization Keywords Hard Skills Data Ingestion ETL Concepts Metadata Management Real-Time Modeling Solutions Batch Solutions Development Monitoring and Incident Management Automation Tools (Autosys, Cron, Airflow) AI Code Assistants Data Validation GitHub Familiarity Soft Skills Effective Communication Technical Translation Industry Keywords Predictive Solutions AI Solutions Agentic Solutions Data Lineage Cloud Data Sources Tools & Technologies Snowflake REST APIs CloudFormation Terraform TeamCity Jenkins Octopus Hadoop Spark Data Warehouses #J-18808-Ljbffr Jobtailor