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Manager Sql Remote Jobs in California (NOW HIRING)

Finance Manager

Hawthorne, CA ยท On-site +1

$135K - $185K/yr

Experience with enterprise resource planning (ERP) databases and structured query language (SQL ... remote work will not be considered COMPENSATION AND BENEFITS: Pay range: Finance Manager: $135,000 ...

Systems Integration Developer

Los Angeles, CA ยท On-site +1

$150K - $180K/yr

Develop and manage data pipelines using SSIS, SSRS, and SQL Server. * Build custom solutions using ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Systems Integration Developer

San Diego, CA ยท On-site +1

$150K - $180K/yr

Develop and manage data pipelines using SSIS, SSRS, and SQL Server. * Build custom solutions using ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Demonstrated solid relationship management skills with internal clients (e.g. management, peers and colleagues). * Demonstrated ability to query and report off of SQL databases. * Experience with:

Demonstrated solid relationship management skills with internal clients (e.g. management, peers and colleagues). * Demonstrated ability to query and report off of SQL databases. * Experience with:

Systems Integration Developer

Redwood City, CA ยท On-site +1

$150K - $180K/yr

Develop and manage data pipelines using SSIS, SSRS, and SQL Server. * Build custom solutions using ... Hybrid schedule, may be considered for remote eligible The annualized base salary range for this ...

Business Operations Analyst

San Francisco, CA ยท On-site +1

$100K - $160K/yr

Experience with ACH workflows, chargeback mechanics, or reserve management * SQL proficiency ... hire (remote) salaries. Individual pay is determined by work location, job-related skills ...

Showing results 41-60

Manager Sql Remote information

What does a Manager SQL Remote do?

A Manager SQL Remote oversees remote teams responsible for managing and optimizing SQL databases. They ensure data integrity, performance, and security while coordinating projects and tasks from a remote location. Their role includes setting team goals, monitoring database operations, troubleshooting complex issues, and collaborating with other departments to support business needs. Strong technical skills in SQL and leadership abilities are essential for success in this position.

What are the key skills and qualifications needed to thrive as a Manager SQL Remote?

To thrive as a Manager SQL Remote, you need expertise in database management, SQL programming, data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL Server, cloud platforms like Azure or AWS, and certifications such as Microsoft Certified: Azure Database Administrator Associate are commonly required. Strong leadership, communication, and problem-solving skills help in managing remote teams and coordinating projects effectively. These skills enable efficient database operations, team collaboration, and successful delivery of data-driven solutions in a remote work environment.

How does a Manager SQL Remote typically collaborate with database administrators and development teams to ensure data integrity and project success?

A remote SQL Manager works closely with database administrators (DBAs) and development teams through regular virtual meetings, shared documentation, and collaboration tools such as Slack or Jira. They oversee database design, performance tuning, and security, ensuring that best practices are followed and that all stakeholders are aligned on project goals. Maintaining clear communication channels and fostering a collaborative team environment are essential for addressing challenges promptly and ensuring data integrity across distributed teams. This role often requires proactive problem-solving and effective delegation to support seamless remote operations.

What is the difference between Manager Sql Remote vs Database Administrator?

CriteriaManager Sql RemoteDatabase Administrator
CertificationsSQL Server certifications, project management credentialsOracle, SQL Server, or MySQL certifications
Work EnvironmentRemote management, team oversight, strategic planningOn-site or remote database maintenance and troubleshooting
Employer & IndustryTech companies, large enterprises, remote teamsFinancial, healthcare, tech sectors, database-focused roles
Search & Comparison IntentUnderstanding leadership roles in SQL remote settingsDatabase management, technical skills, certifications

The Manager Sql Remote primarily oversees remote SQL teams, focusing on leadership, project management, and strategic planning. In contrast, a Database Administrator handles the technical aspects of database setup, maintenance, and troubleshooting. While both roles require SQL knowledge and certifications, the Manager Sql Remote emphasizes team management and remote coordination, whereas the Database Administrator concentrates on technical database operations.

What are the most commonly searched types of Sql Remote jobs in California?

The most popular types of Sql Remote jobs in California are:

What cities in California are hiring for Manager Sql Remote jobs?

Cities in California with the most Manager Sql Remote job openings:

Analytics Engineering Manager

Sequoia Connect

Mountain View, CA โ€ข On-site, Remote

Full-time

Posted 11 days ago


Job description

Description
Degree holders for the visa application process.At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Analytics Engineering Manager:
The Challenge (Responsibilities)
  • Define analytics strategy, KPI frameworks, and data product standards across teams.
  • Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena.
  • Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities.
  • Establish and enforce data quality, documentation, and review processes; own escalation and resolution paths for analytics issues.
  • Lead and mentor analysts; manage capacity, prioritization, and quality across multiple workstreams.
  • Communicate insights and trade-offs to executives; drive decision-making with clear narratives and measurable outcomes.
  • Optimize cost and performance of analytical workloads; recommend storage/query patterns (e.g., Redshift vs. Athena vs. row-level caching).
  • Ensure compliance with data governance, privacy, and security standards; steward access policies in coordination with platform teams.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • Leadership of analytics programs and teams; proven stakeholder and executive communication.
  • Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
  • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
  • Advanced Python for analytics automation, reproducibility, and standards.
  • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
  • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Experience influencing data platform architecture decisions; familiarity with Redshift Spectrum, RA3 architecture, concurrency scaling.
  • Exposure to cost optimization and workload management at scale; capacity planning and SLA definition.
  • Good understanding of using AI tools like Github Copilot or similar for code productivity.
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • Our Client is a leading organization in the financial services sector.

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • Leadership of analytics programs and teams; proven stakeholder and executive communication.
  • Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
  • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
  • Advanced Python for analytics automation, reproducibility, and standards.
  • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
  • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).