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Remote Dataops Engineer Jobs in Miami, FL (NOW HIRING)

Senior Technical Product Manager

Miami, FL · Remote

$121K - $159K/yr

Remote (USA), New York Preferred About Matia Matia is at the forefront of the DataOps revolution ... Our engineering team is based in Israel, so you will need to be exceptionally effective at building ...

Remote Dataops Engineer information

See Miami, FL salary details

$36.3K

$110.8K

$183.2K

How much do remote dataops engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for remote dataops engineer in Miami, FL is $110,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,400.00 and $144,900.00 per year, depending on experience, location, and employer.

What is the difference between Remote Dataops Engineer vs Data Engineer?

AspectRemote Dataops EngineerData Engineer
CredentialsBS in CS, Data Science, or related; certifications like AWS, GCP, or AzureSimilar credentials; often with additional database or software engineering certifications
Work EnvironmentRemote or hybrid, collaborative teams, cloud platformsRemote or on-site, data-focused teams, cloud and on-prem infrastructure
Industry UsageTech, finance, healthcare, e-commerceTech, finance, retail, telecom
Search & Comparison IntentUnderstanding roles in data operations, cloud deployment, automationFocus on data pipeline development, database management, ETL processes

The Remote Dataops Engineer and Data Engineer roles share many credentials and work environments, often overlapping in cloud and data infrastructure. However, Data Engineers typically focus more on building and maintaining data pipelines and databases, while Dataops Engineers emphasize automating deployment, monitoring, and optimizing data workflows in cloud environments.

What is a Remote DataOps Engineer?

A Remote DataOps Engineer is a technology professional who works remotely to manage, automate, and optimize data pipelines and processes within an organization. Their main goal is to streamline the flow of data between various systems, ensuring the availability, quality, and security of data for analytics and business operations. They collaborate closely with data engineers, analysts, and IT teams to develop efficient workflows, automate repetitive tasks, and monitor data infrastructure performance. By working remotely, they leverage cloud-based tools and communication platforms to support distributed teams and global data operations.

How do Remote DataOps Engineers typically collaborate with cross-functional teams to ensure smooth data pipeline operations?

Remote DataOps Engineers often work closely with data engineers, analysts, and DevOps teams using collaboration tools like Slack, Jira, and GitHub. Regular virtual meetings and documentation are essential to align on pipeline requirements, monitor data quality, and resolve issues quickly. Clear communication and proactive status updates help build trust with stakeholders and ensure that data infrastructure supports business needs efficiently, even when working remotely.

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

To thrive as a Remote DataOps Engineer, you need expertise in data engineering, automation, and pipeline management, typically backed by a degree in computer science or a related field. Familiarity with tools like Apache Airflow, Kubernetes, CI/CD systems, and cloud platforms such as AWS or Azure is highly valued, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills are crucial for managing distributed teams and complex data workflows. These skills and qualities ensure efficient, reliable, and scalable data infrastructure essential for modern data-driven organizations.
What are the most commonly searched types of Dataops Engineer jobs in Miami, FL? The most popular types of Dataops Engineer jobs in Miami, FL are:
What are popular job titles related to Remote Dataops Engineer jobs in Miami, FL? For Remote Dataops Engineer jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Remote Dataops Engineer jobs in Miami, FL look for? The top searched job categories for Remote Dataops Engineer jobs in Miami, FL are:
What cities near Miami, FL are hiring for Remote Dataops Engineer jobs? Cities near Miami, FL with the most Remote Dataops Engineer job openings:

Senior Technical Product Manager

Matia

Miami, FL • Remote

$121K - $159K/yr

Full-time

Posted 8 days ago


Job description

Location: Remote (USA), New York Preferred

About Matia

Matia is at the forefront of the DataOps revolution, building a unified platform that streamlines data management from end-to-end. We empower data teams with seamless ingestion, reverse ETL, comprehensive observability, and intuitive data cataloging, enabling faster, smarter decisions with significantly less tool sprawl. Backed by leading investors and trusted by data teams at companies like Ramp, Outsystems, Drata and Recharge, we’re building the future of data confidence.

This role is our first product hire in the United States, working directly alongside our VP of Product in New York.

The Opportunity

We are seeking a Senior Technical Product Manager to join us as the first PM in the US (New York preferred). This is a deeply technical, highly hands-on role at the core of our platform. You will own product areas across the full Matia platform, spanning Ingestion, Reverse ETL, Observability, and Catalog, and you will be expected to go as deep as the problem requires, whether that means understanding how Postgres and MySQL replication behaves under load, how CDC handles schema changes, or why a sync is slow. Technical depth is not a specialty here. It is how the role operates.

Reporting directly to the VP of Product in New York, you will sit close to our customers, who are primarily in the US, and act as their voice in the product. Our engineering team is based in Israel, so you will need to be exceptionally effective at building remote relationships with engineers: crisp written specs, sharp async communication, and the technical credibility to debate tradeoffs on their terms. You will help establish Matia\'s product culture in the US and shape how we build for years to come.

What You’ll Do
  • Own Product Areas Across the Platform: Take end-to-end ownership of product areas spanning Ingestion, Reverse ETL, Observability, and Catalog, translating complex technical and data challenges into clear priorities, crisp specifications, and measurable outcomes.

  • Go Deep on Data Infrastructure: Immerse yourself in the nooks and crannies of database replication and pipelines, including Postgres WAL and logical decoding, MySQL binlog, CDC edge cases, sync performance, and schema evolution, and turn that depth into better product decisions.

  • Be the Voice of US Customers: Speak regularly with customers to uncover pain points, validate product direction, and ensure what we build resonates with real-world data teams. Represent customer needs in every roadmap conversation.

  • Partner with Engineering Across an Ocean: Build strong remote working relationships with our Israel-based engineering team. Write specs that stand on their own, communicate asynchronously with precision, and engage deeply on technical tradeoffs.

  • Iterate and Prioritize Ruthlessly: Continuously refine the roadmap based on data, user feedback, and results. Focus engineering effort on the highest-impact work, making tough tradeoffs and cutting scope when needed to ship faster and learn sooner.

  • Know the Competitive Landscape: Develop a sharp point of view on the data integration and observability market, and use it to inform positioning, prioritization, and where Matia can win.

  • Shape Product Culture: Work with the VP of Product to establish Matia\'s product rituals and standards, from specs and prioritization frameworks to how we define success and learn from customers.

What We’re Looking For

We\'re looking for a hungry, deeply technical Senior Product Manager who thrives in fast-moving, ambiguous environments and wants to be close to both the customer and the metal. We value entrepreneurial spirit and genuine technical depth, and we care far more about what you can do than where you\'ve been.

Must-Haves:

  • Experience: 5+ years as a Product Manager, with at least 2 years on data-intensive or infrastructure products (data pipelines, databases, observability, data catalogs, developer tools).

  • Database Depth: Genuine working knowledge of relational database internals, especially Postgres and MySQL: replication mechanisms, change data capture, transaction logs, schema evolution, and performance characteristics. You can hold your own in a design discussion about a CDC pipeline.

  • Technical Fluency: Strong SQL, comfort reasoning about data structures and data quality (freshness, completeness, lineage), and the ability to engage deeply with engineers on tradeoffs.

  • Execution Track Record: Demonstrated success shipping technical products end-to-end, from discovery through delivery with clear metrics moved.

  • Customer Fluency: Comfortable and credible in front of technical customers, from data engineers to heads of data, and able to translate their problems into product direction.

  • Remote Collaboration: A track record of working effectively with distributed engineering teams. Writing-first, proactive, and able to keep momentum across time zones.

  • Startup DNA: Hungry. Thrives in hectic, noisy, resource-constrained environments. Able to work with ambiguity, act autonomously, and keep engineers focused on outcomes.

  • AI Productivity: Skilled at using modern AI tools (e.g., for research, drafting specs, analyzing data) to accelerate product workflows and increase day-to-day velocity.


Nice-to-Haves:

  • Experience at a data integration, data movement, or data observability company.

  • A prior background as a software engineer, data engineer, or DBA.

  • Experience as the first or early PM at a startup.

How to Apply

Does this role sound like a good fit for you? Please apply directly through our website.

This role requires candidates to be legally authorized to work in the United States without company sponsorship now or in the future.

Matia Inc is an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected status in accordance with applicable law.