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Matillion Jobs (NOW HIRING)

CYNET SYSTEMS

ETL Technical Lead

Providence, RI · On-site

$50 - $55/hr

SQL & Data Modeling. * ETL/ELT (Matillion). * API Integration & Design. * Healthcare US Domain / Data Standards (HL7, ADT, Claims). * Data Quality & Validation Frameworks. * Salesforce Data Flow ...

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Purple Drive Technologies

Snowflake Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Design, build, and optimize complex data pipelines and data warehouse solutions (using Snowflake, dbt, Python, and Matillion ( or similar ELT/ETL tools) ). * Architecting new patterns within ...

Jobsbridge

AWS Architect/Developer

Reading, PA · On-site

$62.25 - $81.75/hr

Experience with AWS (Amazon Web Services) Pipeline S3 Kinesis Experience with Redshift (Dense Storage and Dense Compute) AWS ETL tools such as Matillion or others similar Data modeling and data flows ...

INTELLISWIFT INC

AWS Architect/Developer

Wyomissing, PA · On-site

$62.25 - $81.75/hr

Experience with AWS (Amazon Web Services) Pipeline S3 Kinesis Experience with Redshift (Dense Storage and Dense Compute) AWS ETL tools such as Matillion or others similar Data modeling and data flows ...

Purple Drive Technologies

Snowflake Engineer

Dublin, OH · On-site

$110K - $132K/yr

Integrate Snowflake with ETL/ELT tools (Informatica, dbt, Matillion, Talend, etc.) and orchestration tools (Airflow, Azure Data Factory, AWS Glue). * Implement role-based access control (RBAC) , data ...

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How much do matillion jobs pay per year?

As of Jun 12, 2026, the average yearly pay for matillion in the United States is $110,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $125,500.00 per year, depending on experience, location, and employer.

What is a Matillion job?

A Matillion job is a workflow designed to extract, transform, and load (ETL) data within the Matillion ETL platform. It consists of interconnected components that define data processing tasks, such as extracting data from sources, transforming it with SQL or Python, and loading it into a target database or data warehouse. Matillion jobs can be scheduled, triggered by events, or executed manually to automate data pipelines efficiently.

What jobs pay 200,000 a year in the USA?

In the USA, senior data engineers, cloud architects, and machine learning engineers often earn $200,000 or more annually, especially with specialized skills in cloud platforms like AWS or Azure and relevant certifications. Executive roles such as CTOs and CFOs also typically reach or exceed this salary level, depending on industry and experience.

What are the typical daily responsibilities of a Matillion Developer?

As a Matillion Developer, your typical day involves designing, developing, and optimizing ETL workflows using the Matillion platform to move and transform data from various sources into cloud data warehouses. You'll work closely with data engineers, analysts, and other stakeholders to understand data requirements, troubleshoot data pipeline issues, and implement improvements. You may also be responsible for monitoring ETL job performance, maintaining documentation, and ensuring data quality and integrity. This role offers a dynamic environment where problem-solving and collaboration are central to achieving project and business goals.

What jobs pay $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree include roles like data analyst, sales manager, or skilled trades such as electrician or plumber, often requiring specialized training or certifications. Success in these roles depends on experience, skills, and performance, with some positions offering commission or bonuses that boost income significantly.

What are the key skills and qualifications needed to thrive in the Matillion position, and why are they important?

To thrive as a Matillion Developer, you need experience in ETL (Extract, Transform, Load) processes, data warehousing concepts, and proficiency with the Matillion ETL platform. Familiarity with cloud data warehouses like Snowflake, AWS Redshift, or Google BigQuery, and certifications in cloud technologies or Matillion itself, are highly valued. Strong analytical thinking, effective communication, and problem-solving abilities help you collaborate with teams and address complex data challenges. These skills are crucial for designing robust data integration workflows and ensuring reliable data solutions for business needs.

What job makes $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions in large corporations can earn $1,000,000 or more annually, often including bonuses and stock options. Certain specialized roles in investment banking, hedge funds, or private equity may also reach this income level, especially with significant experience and performance-based incentives.

Is Matillion a good company to work for?

Matillion is a cloud data integration company that offers roles such as data engineers and software developers. Employees often cite a collaborative environment, opportunities to work with cloud platforms like AWS and Azure, and a focus on innovation. As with any company, experiences vary, so researching specific roles and company reviews can provide additional insights.
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Matillion jobs near you
Infographic showing various Matillion job openings in the United States as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% Hybrid, and 67% Remote job distribution, with an average salary of $110,607 per year, or $53.2 per hour.
Lead Data Engineer (Snowflake Optimization)

Lead Data Engineer (Snowflake Optimization)

Xoriant Corporation

Portland, OR • Hybrid

$108K - $143K/yr

Other

Posted 7 days ago

Job description

RESUMES without LINKEDIN profile wont get any response.

Position Title: Lead Data Engineer (Snowflake Optimization)

Location: 6 Months with possibility of extension

Duration: Portland, OR (Hybrid 3 days)

 

Role Summary

The Senior Snowflake Optimization Engineer will lead the assessment, rearchitecture, and optimization of PGE’s Snowflake data platform.
This role will act as the technical lead and primary onsite interface for Snowflake optimization initiatives, working closely with PGE stakeholders, data engineering teams, and Matillion pipelines.

Key Responsibilities

Snowflake Cost & Performance Optimization

  • Assess current Snowflake warehouse usage, sizing, autoscaling, and autosuspend configurations.
  • Identify cost drivers across Matillion jobs, adhoc analytics, and background workloads.
  • Optimize warehouse strategies (multicluster usage, workload isolation, resource monitors).
  • Analyze query history and execution plans to reduce compute inefficiencies.

Architecture & Reengineering

  • Review existing Snowflake schemas, tables, tasks, and pipelines for architectural improvements.
  • Recommend and implement Snowflakenative optimizations (dynamic tables, tasks, result caching where appropriate).
  • Evaluate opportunities for hybrid compute (external tables, Iceberg, Spark/EMR) where costeffective.
  • Advise on data lifecycle, retention, and archival strategies to reduce storage footprint.

Matillion & Pipeline Optimization

  • Review Matillion ELT jobs for Snowflake best practices (pushdown transforms, avoiding rowbyrow logic).
  • Improve pipeline execution efficiency and runtime SLAs.
  • Define reusable optimization patterns and templates.

Governance & Cost Control

  • Help establish cost governance, monitoring, and guardrails.
  • Support chargeback / showback models if required by PGE.
  • Provide recommendations to ensure savings are sustainable postengagement.

Stakeholder & Delivery Leadership

  • Act as the onsite technical lead, coordinating with PGE architects, developers, and business users.
  • Lead technical workshops, optimization reviews, and recommendations walkthroughs.
  • Provide documentation, implementation guidelines, and knowledge transfer to PGE teams.
  • Support stabilization and postimplementation tuning.

 

Required Skills & Experience

Technical Skills

  • Strong handson experience with Snowflake architecture, performance tuning, and cost optimization
  • Deep understanding of: 
    • Snowflake warehouses, clustering, caching, tasks, dynamic tables
    • Query profiling and execution plans
  • Experience with Matillion ELT on Snowflake
  • Solid knowledge of AWS (S3, security, cost considerations)
  • SQL performance tuning and data modeling experience

 

Good to Have

  • Experience with Iceberg / external tables / Spark or EMR
  • Exposure to Snowflake Cortex or advanced Snowflake features
  • CI/CD for data platforms (GitHub/GitLab/Jenkins)
  • Data governance and cost management frameworks

 

Experience Level

  • 8–12+ years in data engineering / cloud data platforms
  • 3–5+ years of focused Snowflake optimization experience
  • Prior experience in onsite consulting or lead roles preferred

Apply