Data Engineer / Data & AI Engineer

Trulogik; Catonsville (MD); On-site; USD 110,000 - 150,000; Full time

Job summary

Trulogik in Catonsville, MD seeks a hands-on Data Engineer / Data & AI Engineer to build scalable data pipelines and analytical models for healthcare payer operations and AI-driven products.

The role combines data engineering, ETL/ELT, and data modeling with exposure to AI/ML and modern data platforms. Healthcare payer data experience is strongly preferred.

Qualifications

• 3+ years of data engineering, ETL/ELT, or data platform development.
• Strong hands-on experience with Python, SQL, data pipelines, APIs, and data warehousing.
• Experience with cloud data platforms such as Azure, AWS, Databricks, Snowflake, or Redshift.
• Solid understanding of data modeling, schema design, transformation, and data quality.
• Exposure to AI/ML, LLMs, feature engineering, or ML pipelines is a plus.
• Healthcare payer data experience (claims/provider/member) is highly preferred.

Responsibilities

• Design and build scalable data pipelines, ETL/ELT workflows, and data integration frameworks.
• Develop and maintain analytical data models for healthcare data domains.
• Work with structured and semi-structured data across APIs, databases, files, and cloud platforms.
• Ensure data quality, lineage, performance, reliability, and observability.
• Support AI/ML use cases by preparing datasets and feature pipelines.
• Collaborate with AI, product, and engineering teams to operationalize data solutions.
• Translate healthcare requirements into scalable data architectures with business groups.

Skills

Data engineering

ETL/ELT

Data modeling

Python

SQL

Cloud data platforms

AI/ML exposure

Tools

Databricks

Snowflake

Azure

AWS

Spark

Job description

Catonsville, United States

We are seeking a hands-onData Engineer / Data & AI Engineerto build scalable data pipelines and analytical data models that support healthcare payer operations and AI-driven products.

The ideal candidate combines strongdata engineering, ETL/ELT, and data modelingskills with some exposure toAI/ML and modern data platforms. Experience inhealth insurance or healthcare payer datais strongly preferred.

Responsibilities

• Design and build scalabledata pipelines, ETL/ELT workflows, and data integration frameworks.
• Develop and maintain analytical and operationaldata modelsfor claims, provider, member, pharmacy, and related healthcare data.
• Work with structured and semi-structured data across APIs, databases, files, and cloud platforms.
• Ensure data quality, lineage, performance, reliability, and observability across pipelines.
• Support AI/ML use cases by preparing data sets, feature pipelines, inference data flows, and model-ready data.
• Collaborate with AI, product, and engineering teams to operationalize data-driven solutions.
• Work with business and domain teams to translate healthcare requirements into scalable data architectures.

Requirements

Qualifications

• 3+ years of experience indata engineering, ETL/ELT, or data platform development.
• Strong hands-on experience withPython, SQL, data pipelines, APIs, and relational/data warehouse technologies.
• Experience with cloud data platforms and tools such asAzure, AWS, Databricks, Snowflake, Redshift, Spark, or similar.
• Strong understanding ofdata modeling, schema design, transformation, and data quality.
• Exposure toAI/ML, LLMs, feature engineering, or ML pipelinesis preferred.
• Experience withhealth insurance / healthcare payer data, particularly claims, provider, member, pharmacy, or eligibility data, is highly preferred.
• Strong analytical and problem-solving skills with the ability to work in a fast-moving product environment.
• This role is ideal for someone who sits at the intersection ofdata engineering, healthcare data, and applied AI.