AI & Data Engineer: Real-Time Pipelines & Cloud ML

Jobtailor; Hartford (CT); On-site; USD 110,000 - 160,000; Full time

Job summary

Jobtailor is seeking a data engineering professional to design and implement robust data pipelines for predictive and AI-centric applications. You will collaborate with cross-functional teams, translate complex requirements into scalable solutions, and ensure data quality and lineage across cloud platforms, using Python, SQL, and modern orchestration tooling.

The role emphasizes real-time and batch modeling, automation, and maintaining repeatable code artifacts in GitHub, with exposure to

Qualifications

• Must be authorized to work in the U.S. now and in the future.
• Bachelor’s degree in Computer Science, Engineering, IT, MIS, or related discipline.
• Experience developing solutions using Python and SQL.
• Experience using AI code assistants as part of daily workflow.
• Familiarity with GitHub.
• Familiarity with Agile teams, creating user stories, and planning/managing work.
• Exposure to data ingestion from relational databases, Hadoop/Spark, cloud data sources, XML, JSON, CSV, 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 IaC tools like CloudFormation, Terraform, TeamCity, Jenkins, Octopus.
• Exposure to cloud data warehouses like 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.
• Company will not support STEM OPT endorsement for this position.

Responsibilities

• Implement data pipelines integrating structured, semi-structured, and unstructured data for Predictive, AI, and Agentic solutions.
• Build and maintain scalable 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.

Skills

Python Development

SQL Proficiency

Data Pipeline Implementation

Cloud Infrastructure (AWS, GCP)

Agile Methodology

Education

Bachelor’s degree in Computer Science, Engineering, IT, MIS

Tools

Snowflake

REST APIs

CloudFormation

Terraform

TeamCity

Jenkins

Octopus

Hadoop

Spark

Data Warehouses

Job description

Jobtailor is seeking a data engineering professional to design and implement robust data pipelines for predictive and AI-centric applications. You will collaborate with cross-functional teams, translate complex requirements into scalable solutions, and ensure data quality and lineage across cloud platforms, using Python, SQL, and modern orchestration tooling.

The role emphasizes real-time and batch modeling, automation, and maintaining repeatable code artifacts in GitHub, with exposure to