Senior Data Engineer.

Intone Inc; Bozeman (MT); Hybrid; USD 120,000 - 165,000; Full time

Job summary

Intone Inc is seeking a Senior Data Engineer for a 6+ month contract in Bozeman, MT. You will own the design and delivery of data solutions, working independently while partnering with stakeholders to clarify requirements and drive execution across the full development lifecycle.

You will build backend services and RESTful APIs, develop cloud-native apps on AWS, and implement data pipelines while ensuring production readiness through testing and documentation.

Qualifications

• Senior-level data engineering skills with hands-on Python and PySpark.
• Experience designing data models and building Databricks workloads.
• Proven ability to own delivery with minimal supervision and work with stakeholders.

Responsibilities

• Own timelines and deliverables, proactively managing scope, dependencies, and risks.
• Frame, design, and deliver software solutions with stakeholders; clarify requirements.
• Build backend services and RESTful APIs aligned to designs.
• Develop cloud-native apps, preferring AWS.
• Implement workflow automation and data pipelines as needed.
• Contribute across the full SDLC, including CI/CD.
• Ensure production readiness with testing, docs, and handover.
• Communicate progress, trade-offs, and changes in expectations as execution partner.

Skills

Python

PySpark

Databricks

Schema design

Data modelling

Spark

Client-facing

Independent delivery

Stakeholder management

AI tools

Tools

Apache Iceberg

Airflow

AWS Glue

Lake Formation

Job description

We are seeking a Senior Data Engineer for a contract position based in Bozeman, Montana. This is a 6+ month engagement where you will own the design and delivery of data solutions, working independently while partnering closely with stakeholders to clarify requirements and drive execution across the full development lifecycle.

Responsibilities

• Own timelines and deliverables, proactively managing scope, dependencies, and execution risks
• Independently frame, design, and deliver software solutions by engaging stakeholders, clarifying ambiguous requirements, and challenging assumptions
• Build backend services and RESTful APIs aligned to those designs
• Develop cloud-native applications, with preference for AWS
• Implement workflow automation and data pipelines where needed
• Contribute across the full software development lifecycle, including CI/CD
• Ensure solutions are production-ready, including testing, documentation, and handover
• Act as a reliable execution partner, proactively communicating progress, trade-offs, risks, and changes in expectations

Qualifications

• Required
  • Strong Python with PySpark
  • Hands-on experience with Databricks, including developing and operating data workloads
  • Schema design and data modelling experience
  • Working knowledge of Spark sufficient to build and troubleshoot PySpark workloads; deep Spark specialization is not required
  • Prior consulting, advisory, or client-facing delivery experience
  • Proven ownership and independent delivery without close supervision
  • Strong problem-solving skills, including the ability to frame and solve problems in ambiguous situations
  • Strong communication and stakeholder management skills, including proactive expectation management
  • Demonstrated adoption of AI-assisted engineering tools and practices as part of day-to-day engineering delivery
• Preferred
  • Experience with Apache Iceberg
  • AWS data services (Glue, Lake Formation)
  • Workflow orchestration tools (Airflow)
  • Experience with distributed data processing architectures
  • Capital markets experience