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Redshift Jobs in Washington (NOW HIRING)

ViedTech

ETL Informatica Developer

Washington, DC · On-site

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 ...

Maania Consultancy Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Proficiency in Python, AWS Lambda, and data stores like PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, SQL * Knowledge of Linux/Unix environments and Agile development

TheStaffed

Data Engineer - PySpark, Snowflake & AWS

Mclean, VA · On-site

$115K - $139K/yr

Develop cloud-native data solutions on AWS, leveraging S3, Glue, EMR, Lambda, Step Functions, and Redshift * Engineer comprehensive Snowflake data platforms including warehouses, schemas, data models ...

Accenture Federal Services

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 ...

Accenture Federal Services

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 ...

KDA Consulting Inc

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 ...

KDA Consulting Inc

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 ...

KDA Consulting Inc

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 ...

KDA Consulting Inc

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 ...

SteerBridge

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 ...

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Redshift information

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 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:
Redshift jobs near you
Cleared Data Engineer

Cleared Data Engineer

Accenture Federal Services

Washington, DC

$129K - $155K/yr

Other

Posted 7 days ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

50th of 449 rated business services

Job description

The work: 

  • Pipeline Architect: Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies. 
  • Transformation Titan: Develop efficient data processing and transformation workflows to support analytics and reporting needs. 
  • Integration Hero: Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets. 
  • Collaboration Champion: Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals. 
  • Quality Guardian: Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability. 
  • Automation Avenger: Contribute to data governance, security, and automation initiatives within the data ecosystem. 
  • Cloud Commander: Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment. 

Here's what you need: 

  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory) 
  • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake) 
  • Experience with Python, SQL, Spark, and PySpark 
  • Experience with data platforms like Databricks, Palantir, and Snowflake 
  • Familiarity with data orchestration and data quality processes 

Bonus points if you have:

  • Experience working with federal clients 
  • Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack 
  • Experience with Agile / Scrum 
  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi 
  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar 

 Security Clearance:  

  • Active Top Secret or TS/SCI or TS/SCI with polygraph clearance

 #LI-DataAI

What Accenture Federal Services employees say

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Hours and flexibility

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