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Remote Aws Redshift Jobs in California (NOW HIRING)

Numentica LLC

Data / Search Specialist

Los Angeles, CA · Remote

$40 - $50/hr

This is a remote position. Role Summary The Data / Search Specialist makes the customer's knowledge ... Redshift/RDS/S3) and core AWS fundamentals. * Strong problem-solving skills, attention to data ...

Match Made Tech

Data Engineer- Hybrid

Irvine, CA · On-site +1

$80 - $95/hr

Monday through Thursday onsite, Fridays remote. COMPENSATION: $80-95 an hour. This is a 2-year ... Utilize AWS services, such as AWS Glue, S3, Redshift, and EMR, for data storage, processing, and ...

AllyNd Partners

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

... in AWS (Glue, S3, Redshift), Snowflake, or BigQuery * Strong SQL and data modeling expertise * Familiarity with Docker, CI/CD, Terraform Benefits * Competitive salary + early-stage equity * Remote ...

EDO

Senior Data Engineer

Los Angeles, CA · On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline ...

Cargomatic

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... Redshift - Build and implement agentic AI systems capable of autonomous decision-making and task ...

Cargomatic

AI Engineer

San Francisco, CA · Remote

$150K - $210K/yr

Remote Compensation: $150,000 - $210,000 Join a rapidly growing company disrupting the trucking ... Redshift - Build and implement agentic AI systems capable of autonomous decision-making and task ...

EDO

Data Engineer

Los Angeles, CA · On-site +1

$120K - $160K/yr

Hands-on experience with cloud data platforms (Snowflake or Redshift preferred). * Strong ... AWS preferred). * Experience building and maintaining ETL/ELT pipelines using tools such as Airflow ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site +1

$61K - $141K/yr

... AWS EMR, Redshift, SageMaker, Databricks, SQL Data Warehouse, or Machine Learning service ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

Cloud computing experience, whether with AWS or other vendors * Ability to understand/design small ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

DocuSign

Senior Software Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

AWS, Azure, or GCP) * Experience participating in on-call, incident response, and root cause ... BigQuery, Snowflake, Redshift, Druid, or time-series/observability stores) * Experience with high ...

Qvest US

Manager - Data & Analytics

Los Angeles, CA · On-site +1

Cloud computing experience, whether with AWS or other vendors * Ability to understand/design small ... Remote & Hybrid Work While remote or hybrid work may be permitted for certain projects, client ...

Meltwater

Senior/ Lead Data Solution Engineer

Redwood City, CA · On-site +1

$67.75 - $87.25/hr

... Redshift to support analytics workstreams. * Ship dashboards, alerts, and decision-making tools ... Expert-level knowledge of Snowflake, AWS RDS, MySQL, and data modeling. * Demonstrated ability to ...

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All JobsAws Redshift JobsRemote Aws Redshift JobsRemote Aws Redshift Jobs in California

Remote Aws Redshift information

What are the key skills and qualifications needed to thrive as a Remote AWS Redshift Engineer, and why are they important?

To thrive as a Remote AWS Redshift Engineer, you need a strong background in data warehousing, SQL, and cloud architecture, typically supported by experience with AWS services and sometimes certifications like AWS Certified Data Analytics. Familiarity with tools such as AWS Redshift, S3, Glue, and ETL solutions is crucial for managing and optimizing large-scale data environments. Excellent problem-solving, communication, and self-motivation are key soft skills for collaborating remotely and addressing complex data challenges. These skills ensure effective data management, optimized performance, and successful collaboration in distributed cloud-based teams.

What are some common challenges faced by remote AWS Redshift engineers, and how can they be addressed?

Remote AWS Redshift engineers often face challenges such as coordinating with distributed teams, maintaining secure data access, and troubleshooting data pipeline issues without on-site support. Effective communication tools, clear documentation, and regular virtual check-ins help address collaboration hurdles. Leveraging AWS security best practices and automated monitoring tools can streamline issue detection and resolution, ensuring data integrity and system performance even while working remotely.

What is the difference between Remote Aws Redshift vs Remote Data Warehouse Engineer?

AspectRemote Aws RedshiftRemote Data Warehouse Engineer
Required CredentialsAWS certifications, SQL knowledgeData warehousing certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, data analytics teamsData infrastructure teams, cloud or on-premises environments
Industry UsageData analytics, BI, cloud servicesData integration, analytics, enterprise data solutions
Search & Comparison IntentFocus on AWS Redshift-specific skillsBroader data warehouse skills including multiple platforms

Remote Aws Redshift specialists focus on managing and optimizing AWS Redshift data warehouses, often requiring AWS certifications and SQL expertise. Remote Data Warehouse Engineers have a broader scope, working with various data warehouse platforms and integrating data solutions across different environments. While both roles involve data management and analytics, Redshift roles are more cloud-specific, whereas Data Warehouse Engineers may work across multiple cloud or on-premises systems.

What is a Remote AWS Redshift job?

A Remote AWS Redshift job involves working with Amazon Web Services (AWS) Redshift, a cloud-based data warehouse service, from a remote location. Professionals in this role are responsible for designing, implementing, and maintaining Redshift clusters, optimizing data storage and queries, and ensuring data security and performance. Common tasks include ETL (Extract, Transform, Load) processes, managing large datasets, and integrating Redshift with other AWS services. These roles are suitable for data engineers, analysts, and database administrators who can work effectively outside a traditional office setting. Remote AWS Redshift jobs typically require strong SQL skills, experience with cloud platforms, and knowledge of data warehousing concepts.
What are the most commonly searched types of Aws Redshift jobs in California? The most popular types of Aws Redshift jobs in California are:
What are popular job titles related to Remote Aws Redshift jobs in California? For Remote Aws Redshift jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Aws Redshift jobs in California look for? The top searched job categories for Remote Aws Redshift jobs in California are:
What cities in California are hiring for Remote Aws Redshift jobs? Cities in California with the most Remote Aws Redshift job openings:
Remote Aws Redshift jobs near you
Data / Search Specialist

Data / Search Specialist

Numentica LLC

Los Angeles, CA • Remote

$40 - $50/hr

Full-time

Posted 19 days ago

Job description

This is a remote position.

Role Summary

The Data / Search Specialist makes the customer's knowledge usable by generative AI systems. On an embedded enablement pod, the specialist builds the connectors, knowledge bases, and retrieval layers that ground AI applications in approved enterprise content, while
enforcing data classification and access boundaries and transferring these practices to customer staff. The role is hands-on and supports the architect and application engineers throughout delivery.

Key Responsibilities
  • Build and configure connectors and ingestion pipelines bringing approved enterprise content into knowledge bases, including SharePoint Online, Exchange/Outlook, OneDrive, and Teams.
  • Design and maintain knowledge base structures using Amazon Bedrock Knowledge Bases and Amazon OpenSearch, including chunking, metadata, and indexing strategies.
  • Integrate structured data sources such as Amazon Athena, Redshift, RDS, and S3 for retrieval and analysis.
  • Generate and manage embeddings and configure vector stores for retrieval.
  • Build a retrieval-evaluation framework and iteratively improve relevance, accuracy, and grounding/citation quality.
  • Implement document-level and user-level access enforcement so retrieval respects data classification, PHI/PII boundaries, and least-privilege principles.
  • Collaborate with the architect and engineers to align data design with the overall solution and evaluation goals, and transfer practices to customer staff.
  • Document data flows, indexing decisions, retrieval configurations, and connector feasibility for handover and reuse.

Required Qualifications
  • Hands-on experience with search, retrieval, or knowledge-base systems and the data pipelines that feed them.
  • Working knowledge of embeddings, vector stores, and RAG retrieval patterns.
  • Experience with data ingestion, connectors, indexing, and content preparation, ideally including Microsoft 365 sources.
  • Strong understanding of data permissions, document-level / user-level access control, data classification, and governance (including PHI/PII).
  • Familiarity with AWS data and AI services (e.g., Amazon Bedrock Knowledge Bases, OpenSearch, Athena/Redshift/RDS/S3) and core AWS fundamentals.
  • Strong problem-solving skills, attention to data quality, and ability to transfer practices to customer staff.


Preferred Qualifications
  • Experience with Amazon OpenSearch, Kendra, Amazon Q Business, or comparable enterprise search platforms.
  • Background in data engineering or information retrieval.
  • Experience building formal retrieval-evaluation methods and quality monitoring.
  • Exposure to regulated or public-sector environments.
  • AWS certification in data analytics or machine learning.

Location & Travel
  • This is a US-only position; candidates must be authorized to work in and based in the United States.
  • The role is primarily remote but may require travel up to 10% during the engagement for on-site workshops and customer sessions.
Experience Level
  • 5 to 10 years of experience with at least 2 years of relevant technical stack experience.
  • Should understand AWS fundamentals in addition to the AI/data stack.