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Redshift Jobs in Washington (NOW HIRING)

Good knowledge of SQL - Teradata/Oracle/SQL Server/AWS Redshift * Assess requirements for completeness and accuracy * Responsible for managing tasks and deadlines for the ETL teams. * Requirement ...

Good knowledge of SQL - Teradata/Oracle/SQL Server/AWS Redshift * Assess requirements for completeness and accuracy * Responsible for managing tasks and deadlines for the ETL teams. * Requirement ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms like Databricks, Palantir, and Snowflake • Familiarity with data ...

Cleared Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms like Databricks, Palantir, and Snowflake • Familiarity with data ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms like Databricks, Palantir, and Snowflake • Familiarity with data ...

Cleared Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Amazon Redshift, Google BigQuery, Snowflake) • Experience with Python, SQL, Spark, and PySpark • Experience with data platforms like Databricks, Palantir, and Snowflake • Familiarity with data ...

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 ...

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 ...

Keywords ERP, NetSuite, Data QA, Data Quality, SQL, ETL Testing, Python, AWS Glue, Athena, S3, Redshift, API Testing, Automation, Agile, Validatar, QuerySurge, ICEDQ

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 ...

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Redshift information

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.

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 are popular job titles related to Redshift jobs in Washington? For Redshift jobs in Washington, the most frequently searched job titles are:
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 May 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution.
Data Engineer (Python, Pyspark & AWS)

Data Engineer (Python, Pyspark & AWS)

IT America Inc

Mclean, VA • On-site

$115K - $139K/yr

Contractor

Posted 19 days ago


Job description

Position: Data Engineer (Python, Pyspark & AWS)

Location: McLean, VA

Duration: Long term contract

Role Summary:

We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, and AWS cloud data services. The ideal candidate will design, build, and optimize scalable data pipelines, ensuring high-quality data availability for analytics, reporting, and business operations. This role requires hands-on development, strong problem-solving skills, and experience working with large-scale distributed systems and data platforms.

Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Python and PySpark
  • Build and optimize data ingestion, transformation, and processing frameworks
  • Work with AWS cloud services including S3, Glue, EMR, Lambda, Redshift, Athena, DynamoDB, etc.
  • Partner with data architects, analysts, and BI teams to deliver high-quality data solutions
  • Perform data profiling, quality checks, and validation for accuracy and consistency
  • Automate data workflows and improve data pipeline performance
  • Implement best practices for security, monitoring, version control, and CI/CD
  • Troubleshoot complex data and pipeline issues in a distributed environment
  • Document solutions, data dictionaries, lineage, and technical workflows

Required Skills & Qualifications

  • 12+ years of hands-on data engineering experience
  • Strong programming skills in Python, including data structures and OOP
  • Deep expertise with PySpark for distributed data processing
  • Proficiency with AWS Cloud data ecosystem
  • (S3, Glue, EMR, Lambda, Redshift, Athena, Step Functions, IAM)
  • Strong SQL experience and optimization techniques
  • Hands-on experience with ETL/ELT pipeline development
  • Experience with Docker, Git, and CI/CD tools
  • Understanding of data modeling, schema design (Star/Snowflake)
  • Experience working in Agile/Scrum environments