Market Street Talent, Inc.

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 4+ years of experience, focusing on AI/ML workflows. Contract length is unspecified, with a competitive pay rate. Remote work is available. Key skills include Python, SQL, cloud platforms, and data pipeline expertise.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
November 12, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#Big Data #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Engineering #dbt (data build tool) #AWS (Amazon Web Services) #Snowflake #Consulting #Delta Lake #R #Computer Science #Storage #GitHub #Data Lifecycle #Data Science #YAML (YAML Ain't Markup Language) #Azure #Data Framework #Data Pipeline #Cloud #Scala #ML (Machine Learning) #Kubernetes #Databricks #AI (Artificial Intelligence) #Data Transformations #Python #Docker #S3 (Amazon Simple Storage Service) #Spark (Apache Spark) #Data Analysis
Role description
Could you be a good fit? We are looking for the best, highly skilled AI Data Engineer to join the team of our exceptional client located in Maine. This position requires a mix of hands-on data engineering, Python and SQL development, cloud platform expertise, and cross-functional collaboration to support AI/ML workflows, data pipelines, and analytics for clinical, imaging, discovery, and operational solutions. Benefits: β€’ Remote β€’ Healthcare Medical, Dental, and Vision Insurance β€’ 401k What will your day look like? As an AI Data Engineer, you will: β€’ Build and manage scalable, robust data pipelines to support AI/ML and analytics workflows. β€’ Collaborate with data scientists, analysts, engineers, and product owners to define requirements and deliver solutions. β€’ Implement data transformations using dbt Core and maintain code quality with SQL/YAML linters and GitHub Actions. β€’ Work with cloud platforms (AWS preferred), Databricks, Snowflake, and Azure to support AI/ML pipelines. β€’ Solve core data issues such as missing, duplicate, or incorrect data, and provide performance-tuning solutions. β€’ Participate in the full data lifecycle from exploration and production to ongoing support. β€’ Stay current on emerging technologies, including Generative AI, to optimize data engineering workflows. You will be a good fit for the AI Data Engineer role if you have: β€’ Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, or a related field β€’ 4+ years of Data Engineering experience β€’ Strong expertise in SQL, Python, and R β€’ Experience with cloud platforms, big data frameworks (Databricks, Spark, Delta Lake), and dbt Core β€’ Experience building robust, fault-tolerant data pipelines across various stages of the lifecycle β€’ Knowledge of CI/CD pipelines, infrastructure-as-code tools, containerization (Docker/Kubernetes), and cloud object storage (e.g., S3) β€’ Ability to collaborate in fast-paced, cross-functional environments and manage multiple priorities Nice-to-Haves: β€’ Experience with data analysis and machine learning workflows β€’ Experience building and deploying web applications and APIs β€’ Certifications in Data Engineering, AI/ML, or related topics About Market Street Talent We are a specialized staffing and consulting firm focused on IT positions. Our team is deeply invested in the IT vertical, which allows us to match highly skilled technology specialists with companies where they can make an immediate impact. Our Vision: To promote and foster the growth of information technology (IT) in our worldβ€”one candidate, one client, one community at a time. Our Goal: To coach clients and candidates through the entire placement process and cultivate long-term, healthy business relationships. Our Culture: At MST, we pursue excellence, treat everyone with respect, and show empathy for our community. Sound like you? Ready for your next challenging IT opportunity? Click β€œApply Now”!