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Redshift Jobs in Virginia (NOW HIRING)

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift. * Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost ...

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift. * Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost ...

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift. * Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost ...

Senior Data Engineer

Richmond, VA

$104K - $142K/yr

Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift. * Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost ...

Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda. * Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques. * Strong ...

AWS Data engineer

Reston, VA · On-site

$119K - $143K/yr

Strong knowledge on AWS services such as (S3, RDS, EC2, Lambda, SQS, SNS, Redshift) * Excellent written communication skill * Skilled in documentation and reporting for the purposes of system ...

Amazon Redshift * SQL * Python * ETL * Data Transformation * Data Integration Responsibilities: * Implement solutions using appropriate and sanctioned AWS services. Services include AWS Glue, Athena ...

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Strong analytical and problem-solving skills Skills SQL, Python, ETL / ELT Pipelines, Data Warehousing, Data Modeling, AWS (S3, Redshift, Glue), Healthcare Data Integration, Data Quality, Cloud Data ...

SR. AWS DATA ENGINEER

Reston, VA · On-site

$119K - $143K/yr

AWS Data Services (Glue [PySpark], Lambda, Step Functions, S3, DynamoDB, Redshift, RDS, CloudWatch, IAM) * Building and maintaining ETL/ELT data pipelines using AWS Glue, PySpark, Lambda, and ...

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch * Ability to design event driven, serverless, and containerized architectures * Familiarity with distributed systems ...

SRE ENGINEER/ MANAGER

Reston, VA · On-site

$59.25 - $78.75/hr

... Redshift) and provide production support. - Participate in on-call rotations and support incident/problem management. - Collaborate with development, QA, and operations teams to implement shift-left ...

Showing results 41-60

Redshift information

See Virginia salary details

$14.9K

$239.2K

$383.7K

How much do redshift jobs pay per year?

As of Sep 11, 2026, the average yearly pay for redshift in Virginia is $239,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $198,300.00 and $297,400.00 per year, depending on experience, location, and employer.

What is a Redshift?

A Redshift job typically refers to a task or process involving Amazon Redshift, a cloud-based data warehousing service. This can include roles such as database administrators, data engineers, or analysts who work with Redshift to store, process, and analyze large datasets. Common responsibilities involve writing SQL queries, optimizing performance, managing clusters, and integrating Redshift with data pipelines.

What skills and qualifications are needed for a Redshift position?

To thrive in a Redshift-focused role (such as an Amazon Redshift Database Administrator or Redshift Data Engineer), you need strong expertise in cloud data warehousing, SQL, ETL development, and data modeling, often backed by a degree in computer science or a related field. Proficiency with Amazon Web Services (AWS), specifically Redshift, as well as tools like Python, ETL platforms, and related AWS certifications are highly valuable. Effective communication, analytical thinking, and problem-solving skills enable you to translate business needs into scalable data solutions and collaborate with diverse teams. These skills are essential for ensuring data integrity, optimizing performance, and supporting strategic business decisions in a cloud-based data environment.

What challenges do professionals working with Amazon Redshift face, and how can I prepare for them?

Working with Amazon Redshift often involves optimizing large-scale data pipelines, troubleshooting performance bottlenecks, and ensuring data security in a cloud environment. It can be challenging to balance query speed with cost efficiency, especially as data volumes grow rapidly. Familiarity with Redshift best practices—such as schema design, compression techniques, and query optimization—will help you address these issues effectively. Proactively staying updated on AWS feature releases and participating in team knowledge sharing can also make problem-solving more efficient and collaborative.

Does Redshift offer remote positions?

Redshift, as a data warehousing service, does not directly offer remote positions. However, companies that use Redshift for data analytics may have remote job opportunities in data engineering, analysis, or related roles, depending on the employer's policies. Remote work availability varies by organization and role requirements.

What cities in Virginia are hiring for Redshift jobs?

Cities in Virginia with the most Redshift job openings:

Infographic showing various Redshift job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 15% Part Time, and 7% Contract. Highlights an 67% Physical, 8% Hybrid, and 25% Remote job distribution, with an average salary of $239,226 per year, or $115 per hour.

Senior Data Engineer

Richmond, VA • On-site

Tiger Analytics Inc.
Business Management Consulting • 201 - 500 employees

$104K - $142K/yr

Other

Posted 23 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.

Key Responsibilities:

  • Lead the design and development of scalable batch and real-time data pipelines using Python and SQL.
  • Design and implement data solutions on AWS, Azure, or GCP.
  • Build high-volume data processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent distributed technologies.
  • Develop and optimize real-time and event-driven streaming applications.
  • Design data models and structures supporting enterprise data warehouses and analytics platforms.
  • Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift.
  • Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost efficiency.
  • Lead technical discussions, design reviews, and provide guidance to other data engineers.
  • Collaborate with architects, product teams, application developers, and business stakeholders to translate requirements into scalable data solutions.
  • Establish engineering best practices around code quality, testing, deployment, monitoring, and data quality
  • 10+ years of experience in application/data engineering using Python and SQL.
  • 5+ years of experience working with at least one major public cloud platform: AWS, GCP, or Azure.
  • 5+ years of experience with distributed data processing technologies such as Spark, Kafka, Hadoop, EMR, MapReduce, or equivalent.
  • 5+ years of experience building and supporting real-time data and streaming applications.
  • 5+ years of experience with cloud data warehouses/platforms such as Snowflake, Databricks, or Redshift.
  • 5+ years of experience with data modeling for data warehousing and analytics.
  • Strong understanding of data engineering, distributed computing, data pipelines, and cloud architecture.
  • Strong problem-solving and communication skills with the ability to provide technical leadership.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.

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