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Redshift Jobs in Washington (NOW HIRING)

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 ...

Tria Federal

BI Reporting & AWS Quick Sight

Arlington, VA · On-site

$58.75 - $76.25/hr

Amazon Redshift * Amazon Athena * AWS Lambda * Amazon RDS * AWS Quick Sight * Implement data security, access controls, and compliance requirements within AWS. Collaboration & Support * Partner with ...

Deegit Inc

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 ...

SteerBridge

Sr. Data Architect

Vienna, VA · On-site

$155K - $180K/yr

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

TriOptus LLC

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.

VTG

Data Engineer

Mclean, VA

$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 ...

VTG

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 ...

eSimplicity

Senior DevOps Engineer

Columbia, MD · On-site

$106K - $136K/yr

Knowledge of data platforms and warehousing solutions like Databricks and Redshift. * Experience securing web applications built with frameworks like Django. * Familiarity with tools in our stack ...

eSimplicity

Senior DevOps Engineer

Columbia, MD · Remote

$106K - $136K/yr

Support the security of data platforms and services, including Databricks and Redshift. Work with cross-functional teams to foster a culture of security awareness and best practices. Requirements ...

eSimplicity

Senior DevOps Engineer

Columbia, MD · On-site

$106K - $136K/yr

Knowledge of data platforms and warehousing solutions like Databricks and Redshift. * Experience securing web applications built with frameworks like Django. * Familiarity with tools in our stack ...

VTG

Data Engineer

Chantilly, VA

$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 ...

Hexaware Technologies, Inc

Data ETL Testing

Reston, VA · On-site

Working knowledge of AWS data services such as S3, Glue, Athena, Redshift, or Lambda. * Good understanding of data quality checks and transformation logic. * Strong analytical and problem-solving ...

RecruitTalent LLC.

Senior IT Data Engineer

Washington, DC · On-site

$65 - $75/hr

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 ...

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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

Sr. Data Architect

SteerBridge

Vienna, VA • On-site

$67.50 - $90.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

SteerBridge Strategies is a modern technology company delivering innovative, mission-focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial-grade capabilities that accelerate operational effectiveness and drive measurable mission success.
At the core of SteerBridge is our people-especially the veterans whose leadership, problem-solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.
We are seeking a Senior Data Architect to lead the design and evolution of enterprise-level data ecosystems. You will be responsible for architecting scalable, secure, and high-performance data infrastructures that support mission-critical aviation sustainment. This is a "player-coach" role that requires high-level strategic planning alongside hands-on engineering execution.
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays

Key Responsibilities
Architecture & Design: Design conceptual, logical, and physical data models for complex federal environments. Lead the transition from legacy on-premises systems to modern, cloud-native (AWS/GCP) data platforms.
Pipeline Development: Architect and oversee the build of automated ETL/ELT pipelines using Python, SQL, and PySpark to ingest and transform unstructured and structured data.
Cloud Data Warehousing: Implement and optimize enterprise data warehouses using tools like AWS Redshift, Google BigQuery, AWS Glue, and Databricks.
Governance & Compliance: Establish data governance frameworks, metadata management, and data lineage in alignment with federal standards (HIPAA, FHIR, NIST).
Performance Optimization: Conduct index/partition design, query tuning, and sharding strategies to ensure high availability and scalability for real-time analytics.
AI/ML Support: Design data architectures that facilitate AI/ML initiatives, including model training pipelines and real-time inference in production environments.
Leadership: Mentor a team of data engineers, enforce software engineering best practices (CI/CD, unit testing, documentation), and serve as a technical bridge between stakeholders and delivery teams.
Required Qualifications
  • Must be a U.S. Citizen.
  • Masters's Degree or Above in Systems Engineering, Computer Science or related field.
  • An active security clearance or the ability to obtain one is required.
  • Minimum 6+ years of experience to include:
    • Experience in data management, utilizing advanced analytics tools and platforms and Python.
    • Experience with Data Warehousing consulting/engineering or related technologies (Redshift, Databricks, BigQuery, OADW, Apache Hive, Apache Lucene).
    • Experience in scripting, tooling, and automating large-scale computing environments.
    • Extensive experience with major tools such as Python, Pandas, PySpark, NumPy, SciPy, SQL, and Git; Minor experience with TensorFlow, PyTorch, and Scikit-learn.
    • Compliance: Deep understanding of data security and federal compliance requirements.

PROFESSIONAL EXPERIENCE / QUALIFICATIONS
  • Data Architecture and Design
    • Skills:
      • Data modeling (conceptual, logical, and physical)
      • Database schema design
      • Understanding of different database paradigms (relational, NoSQL, graph databases, etc.)
      • ETL (Extract, Transform, Load) processes and tools
      • Experience with modern data warehousing solutions (e.g., Redshift, Snowflake, BigQuery)
      • Understanding of dimensional modeling (star/snowflake schemas) and data vault techniques.
      • Experience designing for both OLTP and OLAP workloads.
      • Familiarity with metadata-driven design and schema evolution in data systems.
      • Experience defining data SLAs and lifecycle management policies.
      • Project Experience: Designing and implementing scalable data architectures that support business intelligence, analytics, and machine learning workflows.
  • Data Pipeline Development
    • Skills:
      • Proficiency in tools like Apache Kafka, Airflow, Spark, Flink, or NiFi
      • Experience with cloud-based data services (AWS Glue, Google Cloud Dataflow, Azure Data Factory)
      • Real-time and batch data processing
      • Automation and monitoring of data pipelines
      • Strong understanding of incremental processing, idempotency, and backfill strategies.
      • Knowledge of workflow dependency management, retries, and alerting.
      • Experience writing modular, testable, and reusable Python-based ETL code.
      • Project Experience: Leading the development of highly available, fault-tolerant, and scalable data pipelines, integrating multiple data sources, and ensuring data quality.
  • Cloud Platforms and Services
    • Skills:
      • Expertise in cloud environments (AWS, GCP, Azure)
      • Understanding of cloud-based storage (S3, Blob Storage), databases (RDS, DynamoDB), and compute resources
      • Implementing cloud-native data solutions (Data Lake, Data Warehouse, Data Mesh)
      • Experience with cost monitoring and optimization for data workloads.
      • Familiarity with hybrid and multi-cloud architectures.
      • Understanding of serverless data patterns (e.g., Lambda + S3 + Athena, Cloud Functions + BigQuery).
      • Project Experience: Migrating legacy data infrastructure to the cloud or developing new data platforms using cloud services, with a focus on cost efficiency and scalability.
  • Big Data Technologies
    • Skills:
      • Experience with big data ecosystems (Hadoop, HDFS, Hive, Spark)
      • Distributed computing, parallel processing, and handling petabyte-scale data
      • Tools for querying large datasets (Presto, Athena)
      • Understanding of lakehouse frameworks (Delta Lake, Iceberg, Hudi).
      • Familiarity with data compaction, schema evolution, and ACID guarantees in distributed storage
      • Project Experience: Building and managing big data platforms to enable large-scale analytics, often incorporating structured and unstructured data.
  • Database Administration and Optimization
    • Skills:
      • Expertise in database technologies (SQL, NoSQL, GraphDBs)
      • Query optimization, indexing, and partitioning strategies
      • Backup, replication, and disaster recovery planning
      • Understanding of query execution plans, cost-based optimization, and caching strategies.
      • Experience performing index and partition design based on query patterns.
      • Familiarity with data versioning and temporal tables.
      • Experience profiling and optimizing application code interacting with databases.
      • Project Experience: Performance tuning for complex queries, implementing database replication and sharding strategies to support high availability and scalability.
  • Data Governance and Security
    • Skills:
      • Data privacy, encryption, and compliance with regulations (GDPR, CCPA)
      • Implementing data governance frameworks (data lineage, cataloging, metadata management)
      • Role-based access control and user management for sensitive data
      • Experience with automated policy enforcement and data lineage visualization tools (e.g., DataHub, Collibra, Alation).
      • Knowledge of data quality frameworks integrated into CI/CD pipelines.
      • Familiarity with data contract testing between producer and consumer teams.
      • Project Experience: Developing and implementing data governance policies and security controls across the organization's data assets, ensuring compliance with industry standards.
  • Programming and Scripting Languages
    • Skills:
      • Proficiency in Python and SQL
      • Experience with version control (Git) and CI/CD for data engineering (Gitlab, Jenkins, CircleCI)
      • API design and integration (Postman)
      • Strong understanding of object-oriented programming (OOP) principles and design patterns in Python.
      • Familiarity with software engineering best practices (modularity, testing, documentation, linting).
      • Understanding of algorithmic complexity (Big O notation) and ability to optimize code for scale.
      • Experience with parallel and distributed computation frameworks (Spark, Dask, Ray).
      • Ability to profile and debug performance bottlenecks in data workflows.
      • Use of type hinting, logging frameworks, and automated testing frameworks (pytest, unittest)
  • AI/ML Pipeline Support and Analytics
    • Skills:
      • Experience in supporting data scientists with feature engineering, data wrangling, and model deployment
      • Knowledge of ML orchestration tools (MLflow, Kubeflow)
      • Hands-on experience with analytics tools (e.g., Tableau, Power BI)
      • Familiarity with feature store design and model feature lineage tracking.
      • Understanding of data versioning and reproducibility for ML workflows.
      • Experience supporting real-time model inference pipelines.
      • Project Experience: Designing architectures that support AI/ML initiatives, enabling scalable data pipelines for training models, and supporting experimentation in the production environment.
  • Leadership and Mentorship
    • Skills:
      • Leading data engineering teams, cross-functional collaboration with data scientists, analysts, and business units
      • Project management (Agile, Scrum, Kanban) and stakeholder communication
      • Experience with mentorship and growing junior data engineers
      • Experience establishing data architecture standards and best practices.
      • Ability to review and approve technical designs for consistency and scalability.
      • Proven success in mentoring engineers in code quality, modeling, and system design.
      • Project Experience: Leading the technical direction for large-scale data initiatives, such as enterprise data lake implementations or the creation of a unified data platform.

$155,000 - $180,000 a year
SteerBridge Strategies is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law.
We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs.
If you would like information about how your application is processed, please contact us.

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