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Senior Data Engineer at Syndesus – Frisco, Texas

Syndesus
Frisco, Texas, United States
Posted on
NewEmployment Type:Full-Time
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About This Position

The Company
Well-established consumer software company with a large global footprint. Strong benefits: bonus, pension, medical/dental/vision, generous PTO, and paid parental leave.

The Role
Senior IC role on a data innovation team responsible for designing, building, and operating the data architecture that powers analytics, ML/AI initiatives, and business intelligence across a large-scale consumer software platform. You'll work at the intersection of data engineering, data science, and data quality — partnering closely with stakeholders, data scientists, and product teams.

Responsibilities
  • Design and deploy comprehensive data architecture capturing structured and unstructured data from diverse internal and external sources
  • Build resilient ETL/ELT pipelines routing data across cloud structures, local databases, and other storage forms
  • Implement data quality frameworks — validation, monitoring, and automated recovery strategies
  • Collaborate with data scientists to enable advanced analytics, predictive modeling, and ML initiatives
  • Develop web-enabled, self-service analytics solutions that democratize data access company-wide
  • Apply AI/ML and big-data techniques to automate data cleansing, transformation, and enrichment
  • Leverage MCP (Model Context Protocol) to connect enterprise applications and automate data flows
  • Ensure secure, scalable, and compliant data ingestion with appropriate PII handling
  • Troubleshoot pipeline issues, optimize performance, and participate in on-call rotations
  • Mentor junior team members and contribute to data engineering practice growth

Requirements
  • 8+ years of hands-on ETL/ELT pipeline development across varied data sources
  • Strong programming skills in Python, Scala, or Java (production-quality code)
  • Experience with modern data platforms — Snowflake, Databricks, Apache Spark, Kafka, Airflow
  • Cloud platform experience — AWS, Azure, or GCP and their native data services
  • Experience with real-time data processing and streaming architectures
  • Solid data modeling, warehousing, and dimensional modeling fundamentals
  • Knowledge of containerization and orchestration (Docker, Kubernetes)
  • Practical knowledge of MCP and AI-assisted development tools
  • Familiarity with DataOps and MLOps practices
  • Experience managing sensitive/PII data with attention to compliance and governance
  • Strong communication skills across technical and non-technical stakeholders

Preferred
  • Background in data science or analytics
  • Experience in client-facing or Professional Services roles

Job Location

Frisco, Texas, United States

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