ABS Group · 14 hours ago
Data Engineer - AI Practice Team
Houston, TX
Full-time
Onsite
Mid, Senior Level
$95K/yr - $150K/yr
6+ years expABS Group is seeking an exceptional Data Engineer to join their Artificial Intelligence Practice Team. In this role, you will design and operate data foundations for AI chat assistants and custom AI models while building robust data pipelines.
ConsultingInformation Technology
Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines to ingest, clean, and transform structured and unstructured data for AI assistants and custom models
Integrate diverse knowledge repositories (documents, policies, procedures, standards, databases) into centralized data platforms that support retrieval-augmented generation (RAG) and search
Implement data standardization, normalization, and tagging pipelines to align content with enterprise taxonomies and ontologies
Collaborate with AI/ML engineers to productionize model-ready datasets, feature stores, and embeddings for prediction, classification, and optimization use cases
Optimize data workflows for reliability, cost, and performance across batch and streaming workloads, including monitoring, alerting, and capacity planning
Establish and enforce data quality, lineage, and governance practices to ensure trustworthy inputs to AI systems and process-automation solutions
Automate and templatize common data engineering patterns to accelerate delivery across multiple client engagements and industry domains
Partner with consultants and business stakeholders to translate process optimization and analytics requirements into robust, maintainable data solutions
Qualification
Required
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a closely related technical field
6+ years of professional data engineering experience designing, building, and operating production data solutions
Demonstrated experience working in data-intensive environments (e.g., analytics platforms, AI/ML workloads, large-scale content repositories, or enterprise data platforms)
Hands-on experience delivering solutions on at least one major cloud provider (AWS, Azure, or Google Cloud), including managed data and analytics services
Strong command of SQL and at least one programming language commonly used in data engineering (Python preferred) for building production-grade data pipelines
Hands-on experience with modern data processing frameworks and platforms (e.g., Spark, Databricks, Snowflake, BigQuery, Synapse, or similar)
Proficiency with ETL/ELT orchestration tools and workflows (e.g., Airflow, dbt, Azure Data Factory, AWS Glue, or equivalent)
Experience designing and operating data lakes/lakehouses and integrating multiple data sources (relational, NoSQL, files, APIs) into cohesive data models
Deep experience working with unstructured and semi-structured data (documents, PDFs, JSON, logs), including content extraction, normalization, and metadata/tagging
Familiarity with AI/ML data patterns, including feature engineering, embeddings, vector databases, and retrieval-augmented generation (RAG) pipelines
Strong understanding of data modeling, data quality, data governance, and lineage practices for regulated or compliance-sensitive environments
Proficiency with cloud-native data services (e.g., S3/ADLS/GCS, managed warehouses, streaming services like Kafka/Kinesis/Event Hubs)
Solid grounding in software engineering best practices (version control, CI/CD, testing, code review) as applied to data engineering
Preferred
Master's degree in Computer Science, Data Engineering, Information Systems, or a closely related technical field
Benefits
Medical insurance (PPO and HD)
Dental and vision insurance
Health Savings account (HSA)
Flexible Savings Account (FSA)
Life insurance
Accidental death and dismemberment insurance
Disability leave programs
Parental leave program
Paid holidays
Paid vacation time
Employee Assistance Plan (EAP)
401K plan with a generous company match
Company
ABS Group
ABS Group is a management consulting company that offers asset performance optimization and advanced engineering services.
1001-5000 employees
Funding
Current Stage
Late StageLeadership Team
Ryan Moody
President & CEO
Frank Genco Sr.
Vice President of Strategic Partnerships
Recent News
2025-12-05
2025-10-09
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