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Flexible Data Coding Jobs in Miami, FL (NOW HIRING)

AgileEngine

Senior Data Engineer ID71671

Miami, FL · On-site

$101K - $137K/yr

The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and ... flexible hours that support focus, autonomy, and a healthy work rhythm - Meaningful, modern ...

SNC-Lavalin

Senior Software Developer

Miami, FL · On-site

$80K - $130K/yr

Supporting data integrity and performance tuning * ParticipateinDevOpsbestpractices, including ... Develop high-quality, well-documented code that adheres to best practices and coding standards ...

Flow

Software Engineer

Bay Harbor Islands, FL · On-site

$90 - $120/hr

We're building a new kind of living experience: one that's flexible, connected, and designed to ... About the Role As a member of Flow's data team, you'll shape the data architecture and AI-assisted ...

Sixt

Director AI & Automation

Fort Lauderdale, FL · Hybrid

... uphold data quality across automation workflows * You receive and apply AI-powered coding ... Hybrid Work Format Flexible hybrid work options - 4/1 format (applicable to HQ Salaried roles)

Citadel

Quantitative Researcher - PhD Intern (US)

Miami, FL · On-site

$4.5K - $5.8K/wk

... data sets in the world. As an intern, you'll dive into research through an 11 week program that ... Occasionally, we can be flexible to other times of the year. You will be able to indicate your ...

Contact Government Services, LLC

Java Developer

Miami, FL · On-site

$140K - $220K/yr

The developer will be asked to aggregate data from several different existing sources and prepare ... Java coding and web applications including Java Server Faces Framework. CGS brings motivated ...

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Showing results 21-40

All JobsData Coding JobsFlexible Data Coding JobsFlexible Data Coding Jobs in Miami, FL

Flexible Data Coding information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do flexible data coding jobs pay per year?

As of Aug 21, 2026, the average yearly pay for flexible data coding in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

What are the key skills and qualifications needed to thrive as a flexible data coder, and why are they important?

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What cities near Miami, FL are hiring for Flexible Data Coding jobs?

Cities near Miami, FL with the most Flexible Data Coding job openings:

Flexible Data Coding jobs near you
Infographic showing various Flexible Data Coding job openings in Miami, FL as of June 2026, with employment types broken down into 1% As Needed, 68% Full Time, 29% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

Senior Data Engineer ID71671

AgileEngine

Miami, FL • On-site

$101K - $137K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description


AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform - designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.
WHAT YOU WILL DO
- Data Pipeline Development: Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources.
- Data Warehousing & Modeling: Design efficient, production-ready schemas (normalized and denormalized) in Snowflake to optimize query performance and enable enterprise analytics.
- API & Event Integration: Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms.
- Orchestration: Maintain and expand workflow orchestration pipelines using modern tools (Airflow, Prefect, or Dagster).
- Data Quality & Observability: Implement automated testing, validation, lineage tracking, and proactive alerting frameworks to guarantee data accuracy and system uptime.
- DataOps & Engineering Standards: Drive CI/CD best practices, maintain code bases using Git and Docker, and adopt basic Infrastructure-as-Code (IaC) patterns.
- Code Excellence: Apply modern software engineering standards-including design patterns, automated unit/integration testing, and clear documentation-to data repositories.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 4+ years of experience as a Data Engineer.
- Core Python Fundamentals: Demonstrable expertise writing modular, maintainable, and well-tested Python code (OOP/functional patterns, package management, standard testing frameworks).
- Advanced SQL & Modeling: Deep knowledge of complex SQL queries, query optimization, database design principles, and normalization/denormalization patterns.
- Data Warehousing: Solid, hands-on experience building, managing, and optimizing data architectures within Snowflake.
- Workflow Orchestration: Production experience using workflow orchestration engines like Apache Airflow, Prefect, or Dagster.
- Integrations & Ingestion: Hands-on experience working with REST APIs, event-driven architectures, and both batch and streaming pipelines.
- Data Quality & Lineage: Experience building automated data quality checks, data lineage, and alerting mechanisms (e.g., using tools like dbt test, Great Expectations, or similar).
- DevOps / DataOps Practices: Strong skills in version control (Git), containerization (Docker), CI/CD automation, and familiarity with Infrastructure-as-Code basics.
- Upper-intermediate English level.
NICE TO HAVES
- Experience with dbt (data build tool) for data transformations.
- Familiarity with major cloud providers (AWS, GCP, or Azure).
- Exposure to message streaming tech like Apache Kafka or AWS Kinesis.
PERKS AND BENEFITS
- Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
- Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
- Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
- Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
- Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
- Well-being & support: access local well-being programs and people-focused support tailored to your location

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