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Data Engineer Snowflake Sql Redshift Jobs (NOW HIRING)

Guru Schools

Sr.Data Engineer

Des Moines, IA · On-site

$111K - $134K/yr

Position Title * Sr. Data Engineer Position Responsibilities Role: Sr. Data Engineer (4595 ... Python, AWS, Snowflake, SQL, GitHub Why is this position open? How is it impacting the business?

Prophecy Technologies

Snowflake Developer

Jersey City, NJ · On-site

$119K - $143K/yr

... Data Engineer Location: New York, NY / Jersey City, New Jersey (Onsite Preferred) Duration: 6 ... SQL, or Matillion transformations. Proficient in AWS data services - S3, Glue, Lambda, and Redshift.

VTG

Data Engineer

Mclean, VA

$115K - $139K/yr

Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) * Strong ... Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL ...

Nexiva Inc

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design and develop complex Snowflake SQL scripts and dimensional models * Build automation and validation processes for data integration workflows * Collaborate with architects, data engineers, and ...

VTG

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) * Strong ... Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL ...

VTG

Data Engineer

Chantilly, VA

$118K - $142K/yr

Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) * Strong ... Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL ...

Siritech Solutions Corp

Data Engineer (Hybrid)

Austin, TX · On-site

$113K - $136K/yr

Data Engineer (Systems Analyst III) Total Required Experience in Years: Minimum 8+ Years Mode of ... Develop optimized Snowflake SQL scripts for complex data transformation, processing, and analytics ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer II

Seattle, WA · On-site

$130K - $156K/yr

Strong experience in Data Engineering , Python, Snowflake, SQL, Azure Hands-on expertise with ETL/data pipelines Experience with large-scale data processing frameworks Strong SQL and data modeling ...

Accenture Federal Services

Data Engineer

Washington, DC

$129K - $155K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

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All JobsData Engineer Snowflake Sql Redshift Jobs

Data Engineer Snowflake Sql Redshift information

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$44.5K

$129.7K

$177.5K

How much do data engineer snowflake sql redshift jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer snowflake sql redshift in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a Data Engineer with expertise in Snowflake, SQL, and Redshift do?

A Data Engineer specializing in Snowflake, SQL, and Redshift is responsible for designing, building, and maintaining scalable data pipelines and storage solutions using these technologies. They ensure data is efficiently extracted, transformed, and loaded (ETL) into cloud-based data warehouses like Snowflake and Amazon Redshift. Their work enables organizations to store, manage, and analyze large volumes of data for business intelligence and analytics. Additionally, they optimize database performance, ensure data integrity, and collaborate with data analysts and scientists to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Snowflake, SQL, and Redshift, and why are they important?

To thrive as a Data Engineer with expertise in Snowflake, SQL, and Redshift, you need a strong background in database architecture, data modeling, ETL processes, and proficiency in SQL programming. Familiarity with cloud data warehousing platforms such as Snowflake and Amazon Redshift, as well as experience with ETL tools and scripting languages like Python, is typically expected. Strong problem-solving skills, attention to detail, and effective communication are crucial for collaborating with cross-functional teams and troubleshooting complex data issues. These skills ensure reliable, scalable data pipelines and enable organizations to make data-driven decisions efficiently.

How do Data Engineers specializing in Snowflake, SQL, and Redshift typically collaborate with data analysts and data scientists?

Data Engineers working with Snowflake, SQL, and Redshift play a crucial role in enabling efficient data access for analysts and data scientists. They are responsible for designing and maintaining robust data pipelines, ensuring that data is clean, reliable, and optimized for querying. Collaboration often involves understanding the analytical requirements, building or modifying data models, and providing support for complex queries. Regular communication ensures that data infrastructure meets the evolving needs of the analytics team, and that any performance or data quality issues are quickly resolved.

What is the difference between Data Engineer Snowflake SQL Redshift vs Data Engineer Azure Data Factory?

AspectData Engineer Snowflake SQL RedshiftData Engineer Azure Data Factory
Primary FocusData warehousing, ETL, data modelingData integration, orchestration, pipeline development
Skills & CertificationsSQL, cloud data warehouse platforms, ETL toolsAzure services, data pipeline tools, SQL
Work EnvironmentCloud-based data warehouses, SQL environmentsAzure cloud platform, data integration services
Industry UsageFinance, retail, tech companies using cloud data warehousesEnterprises leveraging Azure for data workflows

While both roles involve working with data pipelines and cloud platforms, Data Engineer Snowflake SQL Redshift primarily focuses on data warehousing and SQL-based data modeling, whereas Data Engineer Azure Data Factory emphasizes data integration and orchestration within the Azure ecosystem. The choice depends on the company's cloud infrastructure and specific data needs.

Infographic showing various Data Engineer Snowflake Sql Redshift job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 6% Internship, 25% Full Time, and 68% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Lead Data Engineer (Snowflake Optimization)

Lead Data Engineer (Snowflake Optimization)

Xoriant Corporation

Portland, OR • Hybrid

$108K - $143K/yr

Other

Posted 3 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

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