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Data Engineer Airflow Jobs in Florida (NOW HIRING)

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Experience with workflow orchestration tools ( Airflow, Cloud Composer, Prefect ). * Familiarity ... Data Engineering,sql,python,etl

Data Engineer.

Orlando, FL · On-site

$106K - $128K/yr

DATA ENGINEER LOCATION :ORLANDO FL DURATION :12 MONTHS CONTRACT * 1+ years of proven experience ... Airflow, Kafka etc. * AWS architecture. * 2+ years of experience in data modeling/database ...

Data Engineer (AI-focused)

Miami, FL · On-site

$90K - $110K/yr

Data Engineer (AI-focused) We work with teams building data foundations for AI-and we're looking to ... Airflow / dbt / Spark * Data warehouses (Snowflake, BigQuery, Redshift) * Streaming tools (Kafka ...

Data Engineer

Doral, FL

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ... Experience with data pipelining or orchestration tools (e.g., Apache Airflow, Apache NiFi, AWS Glue)

Data Engineer

Juno Beach, FL · On-site

$111K - $134K/yr

Data tools: Airflow, dbt, Spark (basic exposure) * Containerization: Docker (nice to have) Good to Have: * Hands-on experience with Machine Learning models; Regression, classification, clustering ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will be responsible for designing, developing, and deploying data ... Airflow, Python, SQL, and dbt to support business requirements • Build and optimize data models ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer ONSITE - Miami, FL 6+ Months Contract-to-Hire * Strong data experience is required ... Airflow, Cloud Composer, or Prefect. • Familiarity with GCP services (Cloud Storage, Pub/Sub ...

Data Engineer

Orlando, FL

$106K - $128K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow ...

Data Engineer

Doral, FL · On-site

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ... Experience with data pipelining or orchestration tools (e.g., Apache Airflow, Apache NiFi, AWS Glue)

Senior Data Engineer

Miami, FL · On-site

$101K - $137K/yr

The Senior Data Engineer will play a key role in the design, development, and deployment of our ... Design, develop, and maintain scalable, reliable, and efficient data pipelines using Airflow ...

Data Engineer

Doral, FL

$105K - $127K/yr

MANTECH seeks a motivated, career and customer-oriented Journeyman Data Engineer to join our team ... Experience with data pipelining or orchestration tools (e.g., Apache Airflow, Apache NiFi, AWS Glue)

Lead Data Engineer

Lakeland, FL · On-site

$106K - $127K/yr

... Airflow). • Deep experience with cloud data platforms (Snowflake, Databricks, Redshift, or ... engineers and driving quality and reliability. Preferred : • Master's degree in a relevant ...

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

Title: Sr. Data Engineer Duration: 12+ month Contract - Hybrid (3 days on site) Location: Orlando ... g., Airflow or similar). * Several years of experience building and maintaining ELT/ETL data ...

Senior Data Engineer

Miami, FL · On-site +1

$101K - $137K/yr

Title and Summary Senior Data Engineer Overview We are seeking a Senior Data Engineer with expertise in Apache Spark, Apache Iceberg, Apache Airflow, and AWS to design and build the next generation ...

Data Engineer - Healthcare

Tampa, FL · Remote

$108K - $129K/yr

Position - Data Engineer (Python + React, Healthcare Domain) Location - Tampa/Remote Number of ... Experience with data processing frameworks and libraries (Pandas, PySpark, Airflow, SQLAlchemy, etc.

Lead Data Engineer

Miami, FL · On-site

$98K - $129K/yr

Title and Summary Lead Data Engineer Overview We are seeking a Lead Data Engineer with expertise in Apache Spark, Apache Iceberg, Apache Airflow, and AWS to design and build the next generation of ...

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Showing results 1-20

Data Engineer Airflow information

What is the difference between Data Engineer Airflow vs Data Engineer?

AspectData Engineer AirflowData Engineer
Primary FocusWorkflow orchestration and pipeline automation using AirflowData collection, storage, transformation, and pipeline development
Required SkillsPython, Airflow, ETL processes, cloud platformsSQL, Python, ETL, data modeling, cloud services
Work EnvironmentData teams, cloud environments, automation pipelinesData warehouses, big data platforms, cloud infrastructure
CertificationsAirflow certifications, Python, cloud certificationsSQL, cloud certifications, data engineering certifications

While both roles involve data pipeline work, Data Engineer Airflow specializes in designing and managing workflows with Airflow, focusing on automation and orchestration. In contrast, Data Engineer has a broader scope, including data storage, transformation, and pipeline development across various tools and platforms.

What does a Data Engineer specializing in Airflow do?

A Data Engineer specializing in Airflow is responsible for designing, building, and maintaining data pipelines using Apache Airflow, an open-source workflow orchestration tool. Their main job is to automate, schedule, and monitor complex data workflows, ensuring data moves reliably between systems and is processed efficiently. They often collaborate with data scientists, analysts, and other engineers to make sure that data is accessible, accurate, and up to date for business needs. Expertise in Airflow helps streamline data operations, optimize performance, and improve data pipeline reliability.

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

To thrive as a Data Engineer with an Airflow focus, you need strong programming skills in Python, expertise in data pipeline design, and experience with distributed systems, often supported by a degree in computer science or a related field. Familiarity with Apache Airflow, cloud platforms (like AWS or GCP), and database technologies, as well as certifications in cloud data engineering, are typically required. Outstanding problem-solving, attention to detail, and effective communication help you collaborate on complex data workflows and troubleshoot issues efficiently. These skills ensure robust, scalable, and reliable data infrastructure, enabling organizations to make data-driven decisions with confidence.

How does a Data Engineer specializing in Airflow typically collaborate with data scientists and analysts?

Data Engineers working with Airflow play a crucial role in enabling data scientists and analysts to access reliable, up-to-date data. They design and maintain ETL pipelines that automate data movement and transformation, ensuring data is clean and available for analysis. Collaboration often involves gathering requirements, troubleshooting pipeline issues, and optimizing data workflows to meet the needs of downstream users. Effective communication and documentation are essential, as data engineers must align technical solutions with the analytical goals of the broader team.
What job categories do people searching Data Engineer Airflow jobs in Florida look for? The top searched job categories for Data Engineer Airflow jobs in Florida are:
What cities in Florida are hiring for Data Engineer Airflow jobs? Cities in Florida with the most Data Engineer Airflow job openings:

$109K - $131K/yr

Full-time

Posted 9 days ago


Job description

Overview:
Data Engineer
Location: Miami, FL (Onsite preferred)
Long Term Contract
Role Overview
We are seeking a skilled Data Engineer to design, build, and maintain the data infrastructure powering company's analytics. This role will focus on developing reliable pipelines that ingest data from key commercial systems (Salesforce, HubSpot, Stripe, and more) into BigQuery, ensuring data is clean, well-documented, and readily available for the Analytics and BI teams. The ideal candidate will combine strong technical expertise with a collaborative mindset to deliver trustworthy, high-performance data solutions.
Key Responsibilities
  • Design, build, and maintain robust ELT/ETL pipelines ingesting data into BigQuery.
  • Configure and extend Fivetran connectors; develop custom connectors when required.
  • Develop and maintain dbt models, tests, and documentation to ensure data quality and lineage.
  • Monitor pipeline health, implement alerting, and respond to incidents to ensure data freshness.
  • Partner with the Senior Data Architect on data governance practices (cataloguing, certification, access controls).
  • Optimize BigQuery tables for cost efficiency and query performance (partitioning, clustering, materialization).
  • Collaborate with Analytics Engineers and Analysts to align data models with downstream requirements.
  • Contribute to CI/CD pipelines and infrastructure-as-code practices for data assets.
  • Document data flows, dependencies, and pipeline architecture for transparency and team alignment.
Qualifications
  • 3+ years of experience in data engineering or related roles.
  • Strong proficiency in SQL and Python for pipeline development and debugging.
  • Hands-on experience with BigQuery or other cloud data warehouses (Snowflake, Redshift, etc.).
  • Experience with ELT/ETL tools (Fivetran, Airbyte, or custom frameworks).
  • Proficiency with dbt for transformations and testing.
  • Experience with workflow orchestration tools (Airflow, Cloud Composer, Prefect).
  • Familiarity with GCP services (Cloud Storage, Pub/Sub, Cloud Functions) or equivalent AWS/Azure services.
  • Strong understanding of data modeling concepts (star schema, SCDs, normalization).
  • Fluent in English (written and spoken).
Nice to Have
  • Experience integrating Salesforce, HubSpot, or Stripe data sources.
  • Knowledge of data governance tools (GCP Data Catalog, Dataplex).
  • Experience with streaming pipelines (Pub/Sub, Kafka).
  • Familiarity with Terraform or other IaC tools.
  • Background in Revenue Operations or go-to-market data contexts.
  • Contributions to open-source data projects or dbt packages.

Skills:
Data Engineering,sql,python,etl