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Redshift Jobs in Virginia (NOW HIRING)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Sr. Data Architect

Vienna, VA · On-site

$67.50 - $90.25/hr

Implement and optimize enterprise data warehouses using tools like AWS Redshift , Google BigQuery , AWS Glue , and Databricks . Governance & Compliance: Establish data governance frameworks, metadata ...

Sr. Data Architect

Vienna, VA · On-site

$67.50 - $90.25/hr

Implement and optimize enterprise data warehouses using tools like AWS Redshift , Google BigQuery , AWS Glue , and Databricks . Governance & Compliance: Establish data governance frameworks, metadata ...

Sr. Data Architect

Vienna, VA

$67.50 - $90.25/hr

Implement and optimize enterprise data warehouses using tools like AWS Redshift , Google BigQuery , AWS Glue , and Databricks . Governance & Compliance: Establish data governance frameworks, metadata ...

Experience with large financial datasets billions of rows, AWS S3, Redshift, or Snowflake * Performance Tuning: Explain plans, data extract optimization, Tableau server tuning * Finance BI: Knowledge ...

Python programming

Mclean, VA · On-site

$50.75 - $70/hr

Redshift, PostgreSQL *At least 1 years of experience in big data technologies like Spark streaming, Kafka or similar *At least 1 year of Agile experience Phone:(847) 440 2436 Ext-330 Qualifications ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions * Design and manage cloud-based data architectures that are secure, scalable, and cost ...

Sr. Data Architect

Vienna, VA · On-site

$67.50 - $90.25/hr

Implement and optimize enterprise data warehouses using tools like AWS Redshift , Google BigQuery , AWS Glue , and Databricks . Governance & Compliance: Establish data governance frameworks, metadata ...

Informatica Developer

Mclean, VA · On-site

$54.25 - $71.25/hr

Work with AWS data services such as Amazon S3, AWS Glue, and Amazon Redshift where applicable. * Implement data validation, error handling, and monitoring processes to ensure high data quality.

Backend Developer

Springfield, VA · On-site

$155K - $170K/yr

Architect and manage SQL-based data storage solutions (RDS, Redshift) * Leverage AWS services-including Lambda, Glue, S3, EC2-to support application functionality, data pipelines, and distributed ...

Data Engineer

Herndon, VA

$117K - $141K/yr

Experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery) * Strong understanding of data modeling concepts (star/snowflake schemas) Qualifications: * Active TS/SCI with ...

Informatica Developer

Mclean, VA · On-site

$54.75 - $71.75/hr

Work with AWS data services such as Amazon S3, AWS Glue, and Amazon Redshift where applicable. * Implement data validation, error handling, and monitoring processes to ensure high data quality.

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Redshift information

See Virginia salary details

$14.9K

$239.2K

$383.7K

How much do redshift jobs pay per year?

As of Jul 8, 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 jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually in the US include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like investment bankers, senior surgeons, and certain technology executives. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or performance-based bonuses.

Is Redshift a good company to work for?

Redshift is a data warehousing service offered by Amazon Web Services, not a company employing individuals directly. If referring to a job role related to Redshift, such as a Redshift engineer, the work typically involves cloud computing, data management, and SQL skills. The work environment depends on the employer using Redshift, which can vary widely in company culture and benefits.

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

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.

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 depending on their policies. Data-related roles such as data engineers or analysts working with Redshift can often be performed remotely if the employer supports flexible work arrangements.

What is a Redshift job?

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 are some typical challenges faced by professionals working with Amazon Redshift, 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.

What is redshift recruiting?

Redshift recruiting refers to the process of hiring professionals for roles related to Amazon Redshift, a data warehousing service. It often involves assessing skills in data management, SQL, and cloud computing, and may require familiarity with AWS tools and certifications.
What are popular job titles related to Redshift jobs in Virginia? For Redshift jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Redshift jobs in Virginia look for? The top searched job categories for Redshift jobs in Virginia are:
What cities in Virginia are hiring for Redshift jobs? Cities in Virginia with the most Redshift job openings:
Data Scientist

Data Scientist

Laksan Technologies

Richmond, VA • On-site

Contractor

Re-posted 3 days ago


Job description

This Data Scientist position with the Professional Services Procurement Office will be an important member of the VDOT PSPO team.  In this role, the Data Scientist collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure. Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means. Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen. Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
In addition to standard knowledge, skills and abilities for a Data Scientist, the successful candidate for this role will have experience and knowledge of procurement, preferably professional services procurement and the data related to this business need as well as procurement related reporting systems and technology.  
Skills Specific to this Position:
  • Provide expertise to agency on data-driven decision making and strategy. 
  • Provide expertise in specific areas, such as machine learning, predictive analytics using data and systems related to public procurement.
  • Leading research projects, for advanced date mining, developing algorithms, or building data pipelines related to public procurement.  
Tools and Technologies:
  • Programming languages:  SQL, Python, PySpark, Shell Scripting, PowerShell
  • Data visualization: Tableau Desktop & Server, Power BI, Looker, Jupyter Notebooks
  • Other frameworks: git, GitHub, SSH Secure Shell, Putty, XML, JSON, SQL Workbench

·         Big data platforms: Apache Spark, Spark SQL, Hive, HDFS, MapReduce, Azure Data Lake

  • Cloud platforms: Amazon Web Services (AWS), EC2, S3, RDS, VPC, EMR, SNS, IAM, Redshift, CloudWatch, SQS, Route53, CloudFront, Athena, Kinesis, QuickSight, Lambda.
  • Statistical tools: Snowflake, Redshift, Oracle, MySQL, Microsoft SQL Server, PostgreSQL