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Estuary Jobs (NOW HIRING)

Staff Data Engineer

Los Angeles, CA · On-site

$180 - $240/hr

* Own the architecture of our data platform, spanning ingestion (Hevo, Estuary), our Google BigQuery warehouse, and the dbt transformation layer -- designing systems that are scalable, reliable, secure ...

Senior Snowflake Developer

Boston, MA · On-site

$59.25 - $78.50/hr

... Estuary • Provide technology consulting and strategic guidance on digital transformation and data modernization initiatives • Architect and oversee implementation of enterprise data platforms and ...

New

$81.60 - $104.92/hr

Temporal workflows, PostgreSQL operations, S3, our Estuary CDC pipeline, and AI service infrastructure on GCP/Azure as we expand our AI capabilities Your profile * Engineering experience:5+ years ...

The Estuary also features a 20,000-square-foot clubhouse with indoor/outdoor dining overlooking the golf course, a golf pro shop, and men's and women's lockers. This area will undergo renovation in ...

This person would primarily work in the San Francisco Estuary, along the west coast, and nationally and internationally as opportunities arise. The position will involve leading logistically complex ...

This person would primarily work in the San Francisco Estuary, along the west coast, and nationally and internationally as opportunities arise. The position will involve leading logistically complex ...

The Estuary also features a 20,000-square-foot clubhouse with indoor/outdoor dining overlooking the golf course, a golf pro shop, and men's and women's lockers. This area will undergo renovation in ...

... Estuary · Provide technology consulting and strategic guidance on digital transformation and data modernization initiatives · Architect and oversee implementation of enterprise data platforms and ...

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Estuary information

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$8

$26

$61

How much do estuary jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for estuary in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is an estuary?

Estuaries are coastal areas where freshwater from rivers and streams mixes with saltwater from the ocean. These environments are highly productive and support a diverse range of plant and animal species. Estuaries act as natural filters, improving water quality by trapping pollutants and sediments. They also provide important habitats for fish, birds, and other wildlife, and often serve as nurseries for many marine species. Additionally, estuaries help protect inland areas from flooding and storm surges.

What is an estuary job?

An Estuary job typically involves studying, managing, and protecting estuarine ecosystems where freshwater meets the ocean. Professionals in this field may work as environmental scientists, conservationists, or resource managers, monitoring water quality, wildlife habitats, and human impacts. They often collaborate with government agencies, research institutions, and local communities to develop sustainable policies and conservation efforts. Responsibilities may include data collection, habitat restoration, and public education about estuarine environments.

What are the key skills and qualifications needed to thrive as an estuary scientist?

To thrive as an Estuary Scientist, you need a strong background in environmental science, ecology, and hydrology, usually supported by a relevant degree and field research experience. Familiarity with GIS software, water quality testing equipment, and data analysis tools is typically required. Critical thinking, strong communication, and teamwork are vital soft skills for collaborating with stakeholders and effectively interpreting scientific findings. These skills ensure accurate monitoring, effective conservation strategies, and sustainable management of estuarine environments.

What are some common challenges faced by professionals working in estuary management roles?

Professionals in estuary management often encounter the challenge of balancing environmental conservation with the needs of local communities and industries. The role requires effective collaboration with government agencies, scientists, and stakeholders to develop sustainable management plans. Additionally, adapting to rapidly changing ecological conditions, such as sea level rise or pollution, can be demanding. Strong communication and problem-solving skills are essential for navigating regulatory frameworks and ensuring that estuarine ecosystems are protected while supporting economic activities.

What is the difference between Estuary vs Marine Biologist?

AspectEstuaryMarine Biologist
Primary FocusStudy of estuarine ecosystems and speciesStudy of oceanic and marine environments and species
Required CredentialsEnvironmental science or biology degree, fieldwork experienceBiology or marine science degree, research skills
Work EnvironmentEstuaries, coastal areas, fieldworkOpen oceans, laboratories, research vessels
Industry UsageEnvironmental agencies, conservation projectsResearch institutions, government agencies, NGOs

While both Estuaries and Marine Biologists work within environmental sciences, Estuaries focus specifically on coastal and brackish water ecosystems, often involving fieldwork in estuarine environments. Marine Biologists have a broader scope, studying oceanic ecosystems and marine species across various habitats. Both roles require similar educational backgrounds and are vital for conservation efforts, but their work settings and specific focus areas differ.

More about Estuary jobs

What cities are hiring for Estuary jobs?

Cities with the most Estuary job openings:

What states have the most Estuary jobs?

States with the most job openings for Estuary jobs include:

Infographic showing various Estuary job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 9% Part Time, 3% Temporary, and 2% Contract. Highlights an 93% Physical, and 7% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Staff Data Engineer

Jobtailor

Los Angeles, CA • On-site

$180 - $240/hr

Other

Posted 4 days ago


Job description

  • Own the architecture of our data platform, spanning ingestion (Hevo, Estuary), our Google BigQuery warehouse, and the dbt transformation layer — designing systems that are scalable, reliable, secure, and built to last.
  • Set the technical bar as a senior IC, leading through design reviews, code review, and mentorship — raising the quality, rigor, and engineering discipline of the team without a formal management role.
  • Build and harden data ingestion at scale, designing batch and CDC pipelines across a diverse set of sources — operational databases, SaaS applications, and ERP systems — and driving vendor and tooling decisions with a clear point of view.
  • Develop end-to-end with AI coding agents. Our teams build with Claude Code and similar tools, and you'll help define the practices, guardrails, and standards that make AI-assisted engineering fast, safe, and high-quality.
  • Invest in reliability and observability, establishing testing, monitoring, alerting, and incident-response practices so data lands on time, is trusted, and failures are caught before stakeholders notice.
  • Strengthen governance and controls, implementing the access models, auditability, and operational rigor expected of a company operating at scale and under growing scrutiny.
  • Lay the foundations for agentic analytics, building the well-modeled, well-governed platform that agents and MCP connections rely on to deliver trustworthy answers from data.
  • Partner with analytics engineers, analysts, and stakeholders to understand data needs, unblock high-value use cases, and translate business requirements into durable platform capabilities.
  • Engineer tooling and services beyond the warehouse - building the APIs, automated jobs, and internal tools in Python that make the platform run smoothly and put data in more people's hands than SQL alone can reach.
  • Drive the evolution of our warehouse architecture - leading hands-on POCs on lakehouse patterns, open table formats, and alternative query engines, and deciding what's worth adopting next.
Requirements
  • A seasoned data engineer with 8+ years building data platforms and pipelines in production, with a track record of technical leadership at the staff or senior level.
  • An expert in the modern data stack. You have deep, hands-on experience with cloud data warehousing (BigQuery or equivalent), dbt, and modern ingestion tooling — and strong opinions, loosely held, about when to buy versus build.
  • A systems thinker. You design for scale, failure, and change — and you can articulate the trade-offs between architectural options clearly, in writing and in person.
  • Fluent in AI-assisted development. You have real experience developing with Claude Code or a similar coding agent, and you treat it as a core part of how modern engineering gets done rather than a novelty.
  • Reliability-obsessed. You believe pipelines should be tested, observable, and boring — and you've built the tooling and practices to make that true on teams you've worked with.
  • Governance-minded without being risk-averse. You know how to design access controls, auditability, and data-quality safeguards that earn trust in the numbers without slowing the team down.
  • A force multiplier. You raise the bar for those around you through mentorship, review, and example, and you're energized by making other engineers better.
  • Technically fluent and a clear communicator. You're expert in SQL and Python, deeply comfortable with version control, CI/CD, and testing workflows, and able to explain technical decisions to audiences from individual contributors to executive leadership.
  • Cloud-infrastructure fluent. You work comfortably beyond the data warehouse, managing serverless compute, storage, and secrets on a major cloud platform like GCP or AWS.
  • A forward-thinking architect. You stay ahead of where the data stack is heading, with well-reasoned views on lakehouse patterns and query engines that you test through hands-on work.
Core Competencies

Demonstrates expertise in building scalable data platforms and pipelines, with a strong focus on reliability, governance, and AI-assisted development. Proficient in cloud data warehousing, data ingestion tooling, and architectural design for modern data stacks.

Highest-signal resume keywords
  • Data Platform Architecture
  • Cloud Data Warehousing (BigQuery)
  • AI-Assisted Development (Claude Code)
  • Data Ingestion Tooling (Hevo, Estuary)
  • SQL and Python Proficiency
ATS Optimization Keywords Hard Skills
  • Data Pipeline Development
  • Cloud Infrastructure Management
  • CI/CD Workflows
  • Testing and Monitoring Practices
  • Access Control Design
  • Data Quality Safeguards
  • Batch and CDC Pipeline Design
  • Version Control
  • Lakehouse Patterns
  • Automated Job Engineering
Soft Skills
  • Technical Leadership
  • Mentorship
  • Clear Communication
  • Systems Thinking
  • Collaboration
Industry Keywords
  • Data Governance
  • Observability
  • Operational Rigor
  • Data Quality
  • Analytics Engineering
Tools & Technologies
  • Google BigQuery
  • Dbt
  • Hevo
  • Estuary
  • Claude Code
  • GCP
  • AWS
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