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Weekend Remote Software Engineering Manager Jobs in Suwanee, GA

Document engineering designs * Strong database knowledge of SQL constructs, and data modeling Qualifications * 7+ years of software development experience in large scale commercial networking ...

Document engineering designs * Strong database knowledge of SQL constructs, and data modeling Qualifications * 7+ years of software development experience in large scale commercial networking ...

... with product, engineering, and customer success teams to keep our yard management and finished ... Ability to work independently and with distributed, international remote teams * Bachelor's degree ...

Sr Software Engineer

Atlanta, GA · On-site +1

$101K - $169K/yr

Company Cox Automotive - USA Job Family Group Engineering / Product Development Job Profile Sr Software Engineer Management Level Individual Contributor Flexible Work Option Hybrid - Ability to work ...

Senior Software Engineer

Atlanta, GA · Remote

$120K - $140K/yr

If you thrive in a remote, collaborative environment where you own your work end-to-end, enjoy ... NET Core on the backend - that meets Sharetec's engineering standards * Manage work across the full ...

Showing results 21-40

Weekend Remote Software Engineering Manager information

See Suwanee, GA salary details

$92.6K

$157.7K

$186.6K

How much do weekend remote software engineering manager jobs pay per year?

As of Aug 22, 2026, the average yearly pay for weekend remote software engineering manager in Suwanee, GA is $157,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $161,000.00 and $161,000.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Remote Software Engineering Manager vs Weekend Remote Software Developer?

AspectWeekend Remote Software Engineering ManagerWeekend Remote Software Developer
Required CredentialsBachelor's in CS or related field, management experience, leadership skillsBachelor's in CS or related field, coding skills, technical knowledge
Work EnvironmentRemote, overseeing teams, project managementRemote, focused on coding and development tasks
Industry UsageCommon in tech companies, startups, and enterprisesWidespread across tech, startups, and freelance markets

The Weekend Remote Software Engineering Manager focuses on leading teams, project planning, and strategic oversight, requiring management experience. In contrast, the Weekend Remote Software Developer concentrates on coding and technical tasks, with less emphasis on leadership. Both roles are remote and often part-time, but their core responsibilities differ significantly.

What job categories do people searching Weekend Remote Software Engineering Manager jobs in Suwanee, GA look for?

The top searched job categories for Weekend Remote Software Engineering Manager jobs in Suwanee, GA are:

What cities near Suwanee, GA are hiring for Weekend Remote Software Engineering Manager jobs?

Cities near Suwanee, GA with the most Weekend Remote Software Engineering Manager job openings:

Analytics Engineering Manager

Sequoia Connect

Atlanta, GA • 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).