Data Engineer - AI-Ready Data Pipelines (Remote)

Match Point Solutions; Maryland Heights (MO); Remote; USD 90,000 - 96,000; Full time

Job summary

Matchpoint Solutions is seeking a Data Engineer for a 3+ month remote contract-to-hire role based in Aurora, CO, with eventual full-time salary around $125,000 annually. The role focuses on designing scalable data pipelines and enabling analytics, ML, and generative AI use cases.

You will collaborate with business and technical teams, translate requirements into reliable data solutions, and implement data-quality controls while advancing data-driven decision-making.

Qualifications

• 5+ years of experience in data engineering and/or data warehousing.
• 4+ years of hands-on experience with Azure Databricks.
• Experience supporting AI-ready data solutions, including analytics and gen AI use cases.
• Proficiency with Git and DevOps practices.
• Strong SQL (T-SQL and ANSI SQL) and Python skills.
• Excellent problem-solving and communication abilities.

Responsibilities

• Collaborate with stakeholders to provide tools for data analysis.
• Design and maintain scalable data pipelines.
• Implement data quality, monitoring, and governance.
• Translate business requirements into technical data solutions.
• Support AI-ready data initiatives and ML workflows.
• Guide peers on best practices and standards.

Skills

Data engineering

Azure Databricks

SQL (T-SQL & ANSI)

Python

Git

DevOps

Data warehousing

AI/ML data enablement

Tools

Azure Databricks

SQL

Python

Git

DevOps tooling

ETL/ELT frameworks

Data warehousing technologies

Job description

Matchpoint Solutions is seeking a Data Engineer for a 3+ month remote contract-to-hire role based in Aurora, CO, with eventual full-time salary around $125,000 annually. The role focuses on designing scalable data pipelines and enabling analytics, ML, and generative AI use cases.

You will collaborate with business and technical teams, translate requirements into reliable data solutions, and implement data-quality controls while advancing data-driven decision-making.