Data Engineer

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 a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber, Robinhood, Netflix, Airbnb, Google, and more. With a growing international presence across North America, Europe, Asia, and South America, we help organizations turn ideas into outcomes through cutting-edge technology, industry best practices, and deep technical expertise.

We're expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative, high-growth environment.

Role Title: Data Engineer

Location: Aurora, CO

Role Type: Remote

Duration: 3+ Months

Pay Range: $65 to $70

Position Overview:

• WWT is seeking an experienced Data Engineer for a 3-month contract-to-hire opportunity. This engagement is designed to allow the candidate and customer to assess mutual fit, with the expectation of conversion to a full-time position after the initial contract period. The anticipated full-time salary upon conversion is approximately $125,000 annually, subject to final offer terms and geographic location. The Greater Toronto Area is preferred; other Canada-based candidates may also be considered. Eligible U.S.-based candidates may be considered outside Massachusetts, Rhode Island, Connecticut, New York, New Jersey, California, Oregon, Washington, Alaska, and Hawaii.
• The Data Engineer will advance data-driven decision-making by designing and implementing scalable data solutions, building modern data pipelines, and enabling analytics, reporting, machine learning, and generative AI use cases. The role will collaborate with business stakeholders and technical teams to translate requirements into reliable, user-friendly, enterprise data solutions.

Responsibilities:

• Collaborate with colleagues and business partners to provide tools for routine and non-routine data analysis.
• Accelerate data initiatives by leveraging AI-enabled technologies and processes.
• Translate business requirements into technical solutions using strong business acumen.
• Analyze current business practices, processes, and procedures to identify future opportunities.
• Assess business needs and create customized data design services.
• Provide exceptional support to business partners.
• Develop foundational components for evolving enterprise data solutions.
• Architect, build, and maintain modern data pipelines.
• Implement effective metrics, monitoring, alerting, and data-quality controls.
• Make independent decisions and provide technical guidance to peers.
• Create and promote technical best practices for data modeling and report design.
• Prepare, transform, and govern data for analytics, machine learning, and generative AI use cases.
• Perform other related duties as required or assigned.
• 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 preparing, transforming, and governing data for analytics, machine learning, and generative AI use cases.
• Proficiency in Agile development methodologies, including DevOps concepts.
• Proficiency with version‑control platforms such as Git.
• Mastery of T‑SQL and ANSI SQL.
• Strong Python capability for data‑related tasks and integration.
• Strong analytical, problem‑solving, collaboration, and communication skills.
• Ability to work independently and provide guidance to peers.

Tools and Technologies:

• Azure Databricks
• Azure data platform services
• T‑SQL and ANSI SQL
• Python
• Git
• DevOps tooling
• Data warehousing technologies
• ETL/ELT and data‑pipeline frameworks
• AI/ML data‑enablement technologies

Matchpoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race, color, religion, age, sex, national origin, disability, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws.

This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoffs, recall, transfers, leaves of absence, compensation, and training.