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Data Engineer Snowflake Sql Redshift Jobs (NOW HIRING)

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

... Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our ... Strong SQL and Python skills, with production experience using dbt. * Familiarity with cloud ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

... Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our ... Strong SQL and Python skills, with production experience using dbt. * Familiarity with cloud ...

NorthShore

Cloud Data Engineer - Snowflake

Skokie, IL · On-site

$41.64 - $64.54/hr

Snowflake (data loading, SQL development, warehouse management) * Microsoft Azure (ADF, Blob Storage, IAM concepts) * Familiarity with CI/CD pipelines and DevOps concepts * Informatica Power Center ...

Capgemini

Data Engineer - Snowflake

New York, NY · On-site

$112K - $148K/yr

New York or Seattle About the job you're considering We are looking for a Snowflake Data Engineer ... Optimize SQL queries and performance tuning for large datasets. * Support data ingestion via ...

Zortech Solutions

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Snowflake SQL Python ADF Azure Data Bricks PySpark Data Warehouse Concepts : This position is for a ... Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. * Experience ...

Merican

Data Engineer

$117K - $140K/yr

Data Engineer Location: San Jose California 95002 Duration: 12 Months Job Type: Temporary ... Fix Redshift and Snowflake SQL Syntax to Trino Syntax in our dbt models. * Version control dbt ...

Trilyon, Inc.

Data Engineer - Snowflake Specialist

Denver, CO · On-site

$117K - $141K/yr

Senior Operations & Data Engineer (Snowflake Specialist) / Cloud Engineer Location: Colorado (Remote with Occasional Onsite - Preferably Denver Metropolitan Area) Duration: 1 Year Contract We are ...

Prophecy Technologies

Snowflake Data Engineer

Boston, MA · On-site

$124K - $149K/yr

We are seeking a Senior Snowflake Data Engineer with deep expertise in Snowflake, SQL, and modern ELT/ETL frameworks to design, build, optimize, and productionize enterprise-scale data pipelines and ...

Sarian, Inc.

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Expert level fluency with Snowflake, SQL, Tableau, and Python is required. * Experience with data ... scripting/programming - using Pandas, PyParsing, Airflow. * Design, develop, and maintain data ...

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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.
Sr. Data Engineer (Snowflake)

Sr. Data Engineer (Snowflake)

Data Ideology

Pittsburgh, PA • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

Data Ideology
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients.  Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results.  Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.  For more information about Data Ideology, visit www.dataideology.com.
Sr. Data Engineer -  (Snowflake)
Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client-facing, consultative role that blends solution design with hands-on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.
This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high-quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.
Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily.  Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.  Other duties may be assigned to meet business needs.

  • Design and build scalable, secure, and cost-effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.
Supervisory Responsibilities: None
Qualifications:
Education and Experience:
  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client-facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers.  Must be able to exchange accurate information in these situations.
Benefits:
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer

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