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Data Engineer Airflow Jobs in Fort Mill, SC (NOW HIRING)

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Duration: Long term Skills - Python, Pyspark, GCP, ETL-Big ... GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Must haves: 5+ years of Data Engineering experience Hands-on experience with Apache Airflow for workflow orchestration Proficiency in Hadoop ecosystem (HDFS, Hive, MapReduce, etc.) Advanced skills in ...

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Euclid Innovations is looking for a Cloud Data Engineer with a strong background in Python, Pyspark ... with Airflow is a Plus. Company : Euclid Innovations specializes in product development ...

Data Engineer II

Charlotte, NC · On-site

$108K - $136K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Experience with orchestration (Dagster or Airflow) and scheduling best practices * Familiarity with ...

Data Engineer II

Charlotte, NC · On-site

$108K - $136K/yr

Join our mission to transform pharmacy benefits and healthcare navigation as a Data Engineer II. You will build and maintain reliable data models within Snowflake with dbt and Airflow, and improve ...

Snowflake Data Engineer - DBT

Fort Mill, SC · On-site

$100K - $120K/yr

Role - Snowflake Data Engineer Location - Fort Mill SC (Day One Onsite, Hybrid) Duration - Fulltime ... AWS services Airflow - The candidate should have handson experience with AWS services particularly ...

JB061913 - Senior Data Engineer - Snowf

Charlotte, NC · On-site

$103K - $140K/yr

Airflow * Snowflake * DBT Responsible for designing, developing, and maintaining scalable data pipelines and ETL processes using AWS Glue. This role involves working closely with data engineers ...

Engineer

Charlotte, NC · On-site

$100K - $120K/yr

GCP Data Engineer * 5+ years of hands-on software development experience with Big Data & Analytics solutionsGCP Cloud - Big Query, Airflow, DataProc, PubSub,Hadoop Hive, Spark, Python, shell ...

Senior Data Engineer

Fort Mill, SC · On-site

$99K - $134K/yr

Euclid Innovations is seeking an experienced Data Engineer to design, build, and enhance data ... Exposure to Airflow, dbt, or Databricks for orchestration and transformation • Basic ...

Data Engineer ETL

Charlotte, NC · On-site

$75K - $125K/yr

Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent). * Familiarity with Git, CI/CD practices, and production support workflows. PREFERRED ...

Sr Databricks Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

... Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources Ability ...

Data Engineer II

Charlotte, NC · On-site

$108K - $136K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Airflow) and scheduling best practices • Familiarity with Spark/Databricks and cloud data ...

Data Engineer II

Charlotte, NC · On-site

$108K - $136K/yr

Partner with analysts, data scientists, and software engineers to deliver trusted, well-documented ... Experience with orchestration (Dagster or Airflow) and scheduling best practices * Familiarity with ...

Sr Data Engineer

Charlotte, NC · On-site

$125 - $145/hr

Modern data pipeline orchestration - hands-on experience with Apache Airflow (or comparable modern ... Modern data engineering & orchestration tooling such as Airflow, dbt, Spark, and CI/CD for data ...

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Data Engineer Airflow information

See Fort Mill, SC salary details

$39.1K

$114K

$156K

How much do data engineer airflow jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer airflow in Fort Mill, SC is $113,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $120,800.00 per year, depending on experience, location, and employer.

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.

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 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.

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 are popular job titles related to Data Engineer Airflow jobs in Fort Mill, SC?

For Data Engineer Airflow jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Data Engineer Airflow jobs in Fort Mill, SC look for?

The top searched job categories for Data Engineer Airflow jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Data Engineer Airflow jobs?

Cities near Fort Mill, SC with the most Data Engineer Airflow job openings:

Infographic showing various Data Engineer Airflow job openings in Fort Mill, SC as of June 2026, with employment types broken down into 3% Internship, 6% As Needed, 38% Full Time, 19% Part Time, 28% Contract, and 6% Nights. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $113,988 per year, or $54.8 per hour.

$111K - $134K/yr

Full-time

Re-posted 25 days ago


Job description

Role : Data Engineer
Location: Charlotte, NC
Duration: Long term
Skills - Python, Pyspark, GCP, ETL-Big Data/Data Warehouse, Data Analytics, SQL, Git
Job Description
  • BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience.
  • 5+ years of hands-on software development experience with Big Data & Analytics solutions
  • GCP Cloud - Big Query, Airflow, DataProc, PubSub, Hadoop Hive, Spark, Python, shell scripting,
  • Strong experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies.
  • Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability.
  • Experience of building event processing pipelines with Kafka or GCP PubSub.
  • Design and development experience with Airflow, PubSub Kafka, Git, Jenkins is desirable.
  • Knowledge of distributed (multi-tiered) systems, algorithms & relational databases.
  • Strong Object-Oriented Programming skills and design patterns.
  • Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git).
  • Good knowledge and experience with configuration management tools like GitHub
  • Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively.
  • Ability and willingness to learn, adopt and build solutions using the Enterprise frameworks established for Big Data
  • Looks proactively beyond the obvious for continuous improvement opportunities.
  • Communicates effectively with product and cross functional team.
  • Willingness to learn new technologies and leverage them to their optimal potential.
  • Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies.
  • Certifications in cloud platform (GCP Professional Data Engineer) is a plus.
  • Provide engineering expertise to the team for developing features for Banking including Financial Crimes, Anti-money Laundering platforms
  • Improve engineering practices, including driving resilience, predictability, and end efficiency through automation
  • Partner with product teams to envision and deliver solutions which transform Financial Crimes Compliance using technology