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Remote Data Engineer Jobs in Tavares, FL (NOW HIRING)

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Remote Commissioning Engineer III Company Overview At Mitsubishi Power, we're not just building ... Monitor plant operating data and alarms to identify issues proactively. * Lead troubleshooting and ...

Senior Engineer, Remote Commissioning

Lake Mary, FL · On-site +1

$91K - $125K/yr

Senior Engineer, Remote Commissioning Company Overview At Mitsubishi Power, we're not just building ... Perform advanced diagnostics and analysis of DCS, historian, and monitoring system data across gas ...

Senior Transmission Line Engineer - REMOTE

Orlando, FL · Remote

$97K - $134K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

This opportunity is remote and/or hybrid-friendly that can be performed from a wide range of ... Analyze data and review project work products, including site specific technical data, engineering ...

Remote (Must be in driving distance to Orlando for Quarterly travel) Network Engineer - 12-month ... Monitor network performance and analyze data to identify bottlenecks, latency issues, and other ...

Water Resources Engineer

Orlando, FL · Remote

$73K - $100K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities ... Support Field Investigations including the collection and analysis of data used to support ...

Senior Agentic (AI) Engineer

Orlando, FL · Remote

$107K - $146K/yr

Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis * Infra: AWS, Kubernetes ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis * Infra: AWS, Kubernetes ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

Senior Agentic (AI) Engineer

Orlando, FL · On-site +1

$97K - $134K/yr

Retrieval & Data: PostgreSQL, pgvector, OpenSearch, Kafka, Redshift, Redis * Infra: AWS, Kubernetes ... All Remote Hires will be required to travel to Orlando, Florida at least twice per year for Town ...

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Remote Data Engineer information

See Tavares, FL salary details

$38.7K

$112.9K

$154.4K

How much do remote data engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote data engineer in Tavares, FL is $112,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $119,600.00 per year, depending on experience, location, and employer.

What Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
What job categories do people searching Remote Data Engineer jobs in Tavares, FL look for? The top searched job categories for Remote Data Engineer jobs in Tavares, FL are:
What cities near Tavares, FL are hiring for Remote Data Engineer jobs? Cities near Tavares, FL with the most Remote Data Engineer job openings:
Infographic showing various Remote Data Engineer job openings in Tavares, FL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $112,857 per year, or $54.3 per hour.

Data Engineer - Cloud Data Platform (Snowflake & dbt)

AssistRx

Maitland, FL • Remote

$106K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


AssistRx rating

7.2

Company rating: 7.2 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

137th of 230 rated it services


Job description

Data Engineer - Cloud Data Platform (Snowflake & dbt) Remote Information Technology Full time Maitland, Florida, United States Description About AssistRx AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Role Overview AssistRx is seeking a Senior Data Engineer to join our Cloud Data Platform (CDP | Architecture) team. This role is highly hands-on and focused on designing, building, and scaling our modern data platform—with Snowflake and dbt as core, non-negotiable technologies. You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can contribute immediately in a production Snowflake + dbt environment and help set technical standards for the broader data organization. What You’ll Do Cloud Data Platform & Architecture Design, build, and optimize Snowflake-centric data architectures to support enterprise analytics, reporting, and operational use cases Own dbt transformation layers, including model design, testing, documentation, and deployment best practices Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs Data Engineering & Pipelines Develop and maintain reliable data pipelines integrating sources such as Salesforce, application databases, and external client data Ensure data quality through validation, testing, monitoring, and observability frameworks Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling Collaboration & Enablement Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets Contribute to architectural standards, code reviews, and best practices across the CDP team Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing Governance, Security & Compliance Ensure data pipelines and models meet PHI / PII / HIPAA compliance requirements Support secure access patterns, role-based permissions, and data governance controls Requirements Required Qualifications This role requires strong, hands-on experience in the following areas: 6+ years of experience in data engineering, analytics engineering, or backend data development Advanced Snowflake expertise in a production environment (performance tuning, architecture, optimization) Strong dbt experience building and maintaining transformation layers at scale Expert-level SQL skills, including complex transformations and performance optimization Experience designing and supporting cloud-based data platforms (Snowflake preferred) Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing) Strong understanding of data modeling best practices for analytics and reporting Nice to Have (Not Required) Experience in healthcare, life sciences, or regulated environments Python experience for data engineering or automation Familiarity with Azure-based data tooling (ADF, storage, compute) Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot Why This Role Matters You’ll help define AssistRx’s enterprise data foundation Your work will directly impact executive decision-making, client reporting, and patient-centric solutions You’ll join a team that values clean architecture, strong engineering standards, and real ownership Benefits Supportive, progressive, fast-paced environment Competitive pay structure Matching 401(k) with immediate vesting Medical, dental, vision, life, & short-term disability insurance Opportunity to impact patient outcomes through data-driven healthcare technology. Collaborative and mission-driven culture that values innovation and continuous learning. Access to cutting-edge cloud technologies and modern data engineering tools. Competitive compensation, comprehensive benefits, and career growth opportunities AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non

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