Stoneridge Software

Senior Data Engineer

Stoneridge Software

full-time

Posted on:

Location Type: Remote

Location: Remote • Minnesota • 🇺🇸 United States

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Salary

💰 $171,900 - $216,400 per year

Job Level

Senior

Tech Stack

AzureETLPySparkPythonSQL

About the role

  • Drive data engineering work across project phases, including discovery, design, build, test, deploy, and ongoing improvement
  • Lead discussions with clients and internal stakeholders regarding data ingestion, integration approaches, and architecture decisions
  • Design and build scalable data pipelines using Microsoft Fabric (lakehouses, warehouses, pipelines, dataflows, notebooks)
  • Extract and integrate data from Dynamics 365 applications (F&O, Customer Engagement, Sales), Dataverse, and external systems
  • Cleanse, model, and transform raw data to support analytics, reporting, semantic modeling, and governance needs
  • Create, maintain, and optimize semantic models and DAX calculations for business-ready reporting
  • Monitor and optimize pipeline and storage performance (latency, cost, resource consumption)
  • Conduct root‑cause analysis for complex pipeline or data quality issues and lead resolution efforts
  • Review code, provide recommendations, and drive best practices across the engineering team
  • Ensure data governance, privacy, security, and quality standards are met—including lineage, access control, and monitoring
  • Collaborate cross‑functionally to translate business requirements into scalable technical designs
  • Develop internal standards, frameworks, and reusable components to improve efficiency and consistency
  • Mentor other engineers and contribute to a culture that values integrity, continuous learning, resilience, and joy in our work
  • Influences design decisions across engineering, architecture, and analytics teams

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or related field; or equivalent work experience
  • 5+ years of experience with Dynamics 365 data models, APIs, Dataverse, and data entities
  • 5+ years of experience with ETL pipelines and Azure data services (Azure Data Lake, Azure Synapse, Azure Data Factory)
  • Experience with Microsoft Fabric (lakehouses, warehouses, pipelines, semantic models, notebooks)
  • Strong SQL skills and familiarity with Python or PySpark
  • Experience with CI/CD, Git version control, monitoring, and observability for data pipelines
  • Knowledge of Power BI—including reports, dashboards, DAX, and data modeling
  • Strong understanding of data governance, security, privacy, and access control
  • Ability to design scalable data architectures and reusable ingestion and transformation frameworks
  • Strong business acumen and ability to translate business needs into technical solutions
  • Excellent communication, documentation, problem‑solving, and organizational skills
  • Microsoft certifications (e.g., DP‑600 Fabric Analytics Engineer, Azure Data Engineer) are a plus
  • Displays a growth mindset and passion for continuous learning, and commitment to delivering high-quality work on time
  • Shows a positive, team‑oriented approach to change, feedback, and innovation
  • Ability to communicate effectively in both spoken and written English
  • Exhibits Stoneridge Software’s Core Values of Integrity, Technical Excellence, Tenacity, Client Centric, and Enjoy your Work
Benefits
  • Medical Insurance
  • Dental Insurance
  • Vision insurance
  • 401(k) contribution program (US) or RRSP Benefits (Canada)
  • Life insurance
  • Disability Benefits
  • Paid parental leave
  • Paid flexible time off
  • Paid sick time (US) or floater days (Canada)
  • Paid holidays
  • Flexible work schedules
  • Mobile/internet reimbursement
  • Employee and family assistance program
  • Learning and development funding
  • Employer charitable contribution
  • Paid business mileage
  • Home office and wellness allowance (US Only)
  • HSA contribution (US Only)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata ingestiondata integrationdata pipelinesETL pipelinesSQLPythonPySparkDAXdata modeling
Soft skills
communicationproblem-solvingorganizational skillsmentoringcollaborationbusiness acumengrowth mindsetteam-orientedcontinuous learningintegrity
Certifications
DP-600 Fabric Analytics EngineerAzure Data Engineer