Senior Data Platform Integration Engineer

Huron • Chicago, IL

3d • $140,000 - $190,000 • Remote

About The Position

We are looking for a Senior Data Platform Integration Engineer to join our engineering team and take on one of our most strategically important challenges: unifying a diverse ecosystem of analytics applications under a coherent, scalable technology platform. Our analytics landscape has grown organically across multiple teams and products. The result is a collection of powerful but siloed tools — each with its own technology stack, data contracts, and deployment patterns. You will be the connective tissue that brings these applications together, making pragmatic decisions about when to consolidate and when to preserve the right tool for the right job. This role is for an engineer who is energized by ambiguity, skilled at reading distributed systems, and opinionated (but flexible) about platform design. You will work directly with engineering leads and data teams, and you will be empowered to use AI-assisted development tools as a first-class part of your workflow.

Requirements

• 7+ years of software engineering experience, with at least 5 years focused on integration, platform, or infrastructure work
• Proficiency in at least one backend language commonly used in data-intensive systems (Python, Go, Java, or similar); proficiency in two or more languages strongly preferred
• Hands-on experience with cloud platforms (AWS strongly preferred) including compute, storage, networking, and managed services
• Experience building and operating data pipelines (ETL/ELT), including schema management and data quality monitoring
• Working experience with AI-assisted development tooling in a professional engineering context
• Strong written communication skills — able to produce clear architecture decision records (ADRs), runbooks, and design documents
• This role requires up to 10% travel.

Nice To Haves

• Experience evaluating and rationalizing heterogeneous technology stacks — i.e., inheriting systems you didn’t design and making them work together
• Familiarity with analytics or ML platform tooling (e.g., Airflow, dbt, MLflow, Spark, or SaaS equivalents)
• Experience with API gateway management, service mesh, or distributed tracing tooling
• Background working with both structured (SQL) and semi-structured (JSON, Parquet, Avro) data at scale

Responsibilities

• Platform Unification & Integration
• Audit existing analytics applications to understand their underlying technology choices, data flows, and integration points
• Design and implement integration patterns (APIs, event streams, shared data contracts) that allow siloed applications to interoperate without unnecessary rewrites
• Evaluate build vs. consolidate vs. federate tradeoffs for components across the platform, documenting your rationale and driving alignment
• Build and maintain shared platform services — authentication, observability, configuration management, logging — that reduce duplication across applications
• Data Pipeline & ETL Engineering
• Develop a deep understanding of existing data pipelines owned by distributed teams — including their data sources, transformation logic, and dependencies
• Design and build a unified presentation layer that surfaces data from heterogeneous compute environments — including large-scale distributed systems (e.g., Spark) and traditional relational databases — in a consistent, accessible way
• Partner with domain teams who have the deepest knowledge of their own data — acting as an integration architect and collaborator rather than a centralized pipeline owner; identify unification opportunities but defer to domain expertise on data semantics and processing logic
• Cloud Infrastructure
• Deploy and manage platform services on cloud infrastructure (AWS preferred; Azure/GCP experience a plus)
• Contribute to infrastructure-as-code practices using tools such as Terraform, CDK, or Pulumi
• Collaborate with DevOps/SRE to define deployment pipelines and reliability standards for integration services
• Construct evidence-based business cases for cloud feature adoption — translating technical requirements into business value, risk reduction, and compliance language that resonates with IT governance and procurement stakeholders

Benefits

• Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance.
• Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed