ELT Developer

TechDigital Group; Cary (NC); On-site; USD 110,000 - 140,000; Full time

Job summary

TechDigital Group is seeking a skilled BI/ELT Developer in Cary, North Carolina. In this role, you will lead the design and delivery of data solutions with a focus on automation using Matillion and Snowflake. Ideal candidates will have over 10 years of experience in data engineering, strong SQL skills, and a proven track record in implementing large-scale data transformations. Additional expertise in CI/CD and Agile methodologies will be advantageous. Join a dynamic team dedicated to building scalable data platforms.

Qualifications

• 10+ years of experience in Data Engineering or BI.
• Strong hands-on experience with Matillion and Snowflake.
• Experience with large-scale ETL pipelines and data transformations.

Responsibilities

• Lead end-to-end data engineering delivery including ETL pipelines.
• Own technical decisions regarding data architecture and modeling.
• Drive automation-first approach across ETL deployments.

Skills

Matillion

Snowflake

SQL expertise

Data Engineering

Automation mindset

Agile delivery

Tools

CI/CD

Git

Job description

Overview

Mandatory Skills: Matillion with Snowflake

The BI / ELT Developers will be responsible for leading the design, development, and delivery of enterprise‑grade data solutions with a strong focus on automation, ETL orchestration (Matillion), database design (Snowflake), and data transformations. This role will provide technical leadership across the data engineering lifecycle and partner closely with architects, API teams, QA, and business stakeholders to enable scalable and reliable data platforms.

Responsibilities

• Technical Leadership
  • Lead end‑to‑end data engineering delivery including ingestion, transformation, and persistence layers.
  • Own technical decisions related to database architecture, schema design, and data modeling.
  • Review and guide development of complex SQL, transformations, and performance‑optimized data pipelines.
  • Act as the primary technical escalation point for data‑related issues.

• ETL & Data Engineering
  • Design and implement Matillion/Snowflake ETL pipelines for structured and semi‑structured data.
  • Build reusable, metadata‑driven transformation frameworks.
  • Optimize data loads, transformations, and Snowflake performance.
  • Ensure data quality, consistency, and reconciliation across pipelines.

• Automation & DevOps
  • Drive automation‑first approach across:
    • ETL deployments
    • Validation and reconciliation
    • Regression and data sanity checks
  • Enable CI/CD pipelines for data platforms (Git, automated deployments, environment promotion).
  • Collaborate with DevOps teams to enforce coding standards and release controls.
  • Reduce manual intervention through robust automation and monitoring.

• Data Architecture & Modeling
  • Design and maintain:
    • Enterprise data warehouse schemas
    • Fact and dimension models
    • Conformed layer structures
  • Partner with Data Architects to align logical and physical models.
  • Ensure scalability, extensibility, and performance of data structures.

• Agile Delivery & Collaboration
  • Lead data engineering workstreams in Agile sprints.
  • Support backlog grooming, estimation, and technical story readiness.
  • Collaborate with:
    • API teams for data consumption
    • Salesforce/UI teams for downstream enablement
    • QA for test data, automation, and validation strategy
  • Actively participate in sprint ceremonies and technical reviews.

• Governance & Quality
  • Enforce data engineering best practices and standards.
  • Ensure adherence to security, compliance, and data governance guidelines.
  • Proactively identify risks, dependencies, and technical gaps.
  • Contribute to RAID management and mitigation plans.

Required Skills & Experience

Must Have

• 10+ years of experience in Data Engineering / BI / Data Platforms /Snowflake
• Strong hands‑on experience with Matillion/Snowflake
• Strong SQL expertise and database design / data modeling
• Experience with data transformations, large‑scale ETL pipelines
• Strong automation mindset and implementation experience
• Experience with cloud data platforms (Snowflake preferred)
• Agile delivery experience

• Good to Have
• CI/CD for data platforms (ADO, Git, deployment automation)
• API data integration experience
• Data quality frameworks and monitoring
• Experience in healthcare, insurance, or enterprise data domains

Key Behaviors

• Strong ownership mindset
• Ability to mentor and guide data engineers
• Clear communication with technical and non‑technical stakeholders
• Proactive problem‑solving and risk identification