Remote Platform Integration Engineer

Job Description

A consulting client of Insight Global is seeking a Platform Integration Engineer to support large-scale data, analytics, and platform modernization initiatives for Huron Consulting Group and its clients. This individual will work closely with engineering leaders, data teams, and client stakeholders to assess existing analytics applications, understand data flows and integration points, and design pragmatic integration patterns that enable interoperability across diverse systems without unnecessary re-platforming. Responsibilities include building and maintaining shared platform services such as authentication, logging, observability, and configuration management; contributing to cloud infrastructure and infrastructure-as-code practices; and partnering with domain experts to surface data from multiple compute environments in a consistent and accessible way. The ideal candidate is comfortable operating in complex, ambiguous environments typical of consulting engagements, can clearly articulate technical tradeoffs to both technical and non-technical stakeholders, and brings a pragmatic, outcomes-driven mindset to platform and integration decisions. This role emphasizes collaboration, ownership, and reliability, with opportunities to influence platform patterns that support scalable, repeatable delivery across client engagements.

We are looking for a detail-oriented, organized and collaborative individual with excellent critical thinking skills. This is a fully remote position and a 12-month contract with possibility of extension and/or conversion. This position can pay between $60-$65/hour with medical benefits and 401k options offered on contract. If interested, please apply!

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field

• 5+ years of professional software engineering experience, with at least 3 years focused on platform engineering, system integration, or infrastructure

• Strong experience designing and implementing integration patterns including APIs, event-driven architectures, and shared data contracts

• Hands-on experience with cloud platforms, with AWS strongly preferred (Azure or GCP experience is a plus)

• Experience supporting or integrating data pipelines (ETL/ELT), including schema management and data quality considerations

• Proficiency in at least one backend programming language used in data-intensive environments (Python, Go, Java, or similar)

• Experience with infrastructure-as-code tools such as Terraform, CDK, or Pulumi

• Familiarity with distributed systems and integrating heterogeneous technology stacks

• Strong communication skills, with the ability to document architecture decisions, integration strategies, and operational runbooks - Experience supporting analytics, data, or modernization initiatives within consulting or professional services environments

• Familiarity with analytics or data platform tooling (e.g., Spark, Airflow, dbt, ML platforms, or SaaS analytics tools)

• Experience working with structured and semi-structured data formats (SQL, JSON, Parquet, Avro)

• Exposure to API gateway management, service mesh, observability, or distributed tracing tools

• Experience leveraging AI-assisted development tools to improve delivery efficiency and code quality