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Data Engineer Airflow Jobs in Lexington, SC (NOW HIRING)

Artefact

Junior Data Engineer - (Canada-based)

North, SC · Hybrid

$106K - $127K/yr

... Airflow and Pyspark. * Lead the integration of complex data systems and ensure consistency and ... Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high ...

Artefact

Jr Data Analyst - (Canada-based)

North, SC

Programming: Jupyter, VS code, Github * Programming languages: Python, R, SQL * Tool * * Cloud ... Airflow, Dataiku, Dataflow, Dataprep...) * Web application (R-Shiny, Python Flask) that you have ...

All JobsData Engineer Airflow JobsData Engineer Airflow Jobs in Lexington, SC

Data Engineer Airflow information

See Lexington, SC salary details

$38.1K

$111K

$151.9K

How much do data engineer airflow jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data engineer airflow in Lexington, SC is $111,032.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $117,700.00 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 Lexington, SC?

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

Data Engineer Airflow jobs near you

Junior Data Engineer - (Canada-based)

Artefact

North, SC • Hybrid

$106K - $127K/yr

Full-time

Re-posted 28 days ago

Job description

Who we are

Artefact is a new generation of a data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. We are proud to say that we're enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients' specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we've acquired with our 300+ client base around the globe.

We have over 2000 employees across 16 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: state of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Our Opportunity

Responsibilities

We are looking for a Jr. Data Engineer to join our dynamic team. This role is ideal for someone with understanding of data engineering and a proven track record of working on data projects in a fast-paced environment. 

Key Responsibilities

  • Design, build, and maintain scalable and robust data pipelines using SQL, Python, Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark.
  • Lead the integration of complex data systems and ensure consistency and accuracy of data across multiple platforms.
  • Implement continuous integration and continuous deployment (CI/CD) practices for data pipelines to improve efficiency and quality of data processing.
  • Work closely with data architects, analysts, and other stakeholders to understand business requirements and translate them into technical implementations.
  • Oversee and manage a team of data engineers, providing guidance and mentorship to ensure high-quality project deliverables.
  • Develop and enforce best practices in data governance, security, and compliance within the organization.
  • Optimize data retrieval and develop dashboards and reports for business teams.
  • Continuously evaluate new technologies and tools to enhance the capabilities of the data engineering function.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 2+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies.
  • Experience with cloud services such as Azure Data Factory and AWS Glue.
  • Excellent problem-solving skills and the ability to work under tight deadlines.
  • Strong communication and interpersonal skills.

Preferred Qualifications:

    • Certifications in Azure, AWS, or similar technologies.
    • Certifications in Databricks, Snowflake or similar technologies
    • Experience in the leading large scale data engineering projects

Why you should join us

We are united by our values and strengthened by our hybrid expertise.

  • There is always a way: We're from the breed of does, of diggers, of makers. Because ideas are valuable only if executed.
  • Client trust is won on the field: Addressing client needs flows better hands on at their side.
  • If not used, it is useless: Our love for technology translates into a steep desire for adoption, true brilliance is about impact.
  • If not shared, our work is not done: Sharing knowledge is the best way to button up a mission, benefitting clients and colleagues.
  • We learn everyday: Tech is a land where everything move at the speed of light, you better be ready to challenge yourself.

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