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Redshift Jobs in Washington (NOW HIRING)

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

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 ...

Sr. Data Architect

Reston, VA · On-site

$70 - $93.75/hr

S3, Redshift, Aurora PostgreSQL. • Deep understanding of big data infrastructure and high-volume data storage strategies. • Proficiency with ERWIN or similar data modeling tools. • Strong ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/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 ...

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 ...

Provide operational support for AWS services and Glue jobs, Redshift tuning, DMS tasks, Lambda, S3, IAM, and troubleshooting. Offer Oracle database performance tuning, indexing strategies, and PL ...

Data Engineer

Chantilly, VA · On-site

$118K - $142K/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 ...

Data Engineer

Herndon, VA · On-site

$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 ...

Amazon Aurora, Snowflake, Databricks, Amazon Redshift. * Ability to use infrastructure as code (IaC) such as Terraform, AWS CloudFormation to build and configure data systems as part of a DevOps ...

Sr Oracle Application DBA

Washington, DC · On-site

$57.50 - $78.25/hr

Support Oracle Discoverer (legacy), Oracle Warehouse Builder (OWB), and integration with Amazon Redshift/EDW for financial reporting.Administer and monitor Fusion Middleware components including SSL ...

Showing results 41-60

Redshift information

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 job categories do people searching Redshift jobs in Washington look for?

The top searched job categories for Redshift jobs in Washington are:

Infographic showing various Redshift job openings in Washington as of August 2026, with employment types broken down into 81% Full Time, 5% Part Time, 2% Temporary, and 12% Contract. Highlights an 64% Physical, 7% Hybrid, and 29% Remote job distribution.

Data Engineer

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 7 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems

AWS Cloud & Data Services

  • 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-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management

Data Optimization & Performance

  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues

Data Quality & Governance

  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards

Collaboration & Integration

  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Requirements

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills