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Data Engineer Python Jobs (NOW HIRING)

SmartIT Frame

AWS Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

Dexian DISYS

Data Engineer PYTHON/SQL

Washington, DC · On-site

$129K - $155K/yr

Bachelor's Degree in Computer Science, Data Engineering, Information Systems, or an equivalent combination of education, training, and experience. * Strong proficiency in SQL and Python. * Experience ...

Centraprise LLC

AWS Data Engineer

Alpharetta, GA · On-site

$100K - $120K/yr

Qualifications (Data Engineer/Python Developer) * 10+ years hands-on Python development experience for big data application. * Extensive working experience in implementing scalable and efficient data ...

Perficientcorp Inc

Python Data Engineer

Phoenix, AZ · On-site

Immediate Hiring | Python Data Engineer / API Developer We are hiring experienced Python Data Engineers / API Developers for enterprise-level projects. If you have strong expertise in PySpark, GCP ...

Marencor

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

AWS Data Engineer (Python, Dataiku) Location: SFO, CA - Hybrid Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data pipelines on AWS. You will work ...

ClifyX

Azure Data Engineer (Python & AI/ML)

Cincinnati, OH · On-site

$111K - $134K/yr

ClifyX is a company specializing in data solutions, and they are seeking an Azure Data Engineer with expertise in Python and AI/ML. The role focuses on leveraging Microsoft Azure data services to ...

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How much do data engineer python jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.
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Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

10607 - Senior Data Engineer (Python)

Hyundai AutoEver America

Irvine, CA • On-site

$122K - $147K/yr

Other

Medical, Dental, PTO

Posted 9 days ago

Job description

10607 - Senior Data Engineer
Location: Irvine, CA
Company Overview
Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
HAEA offers a truly global and collaborative environment. Here, you'll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
At HAEA, we understand that IT is the cornerstone of today's fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai's Global Headquarters and North American operations.
If you're passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that's driving the future of automotive innovation.
Website:
Role Overview:
We are seeking a motivated and detail-oriented Senior Data Engineer to join our growing data engineering team. The ideal candidate will have strong experience in Python-based data engineering, workflow orchestration using Apache Airflow, and building scalable data solutions using Lakehouse and Medallion Architecture (Bronze, Silver, Gold) principles.
In this role, you will collaborate with data scientists, analysts, architects, and business stakeholders to design, develop, and optimize modern data pipelines that support analytics, reporting, and advanced data-driven initiatives. The successful candidate will have hands-on expertise in data ingestion, transformation, data quality, automation, and cloud-based data platforms.
Key Responsibilities
  • Design, develop, and maintain scalable and reliable Python-based data pipelines for ingesting, processing, and transforming large volumes of data.
  • Build and manage data workflows using Apache Airflow, including scheduling, monitoring, alerting, and troubleshooting production jobs.
  • Implement and support Medallion Architecture (Bronze, Silver, Gold) data layers to enable efficient data processing, governance, and analytical consumption.
  • Develop robust ETL/ELT solutions to ingest data from databases, APIs, flat files, streaming sources, and third-party systems into enterprise data platforms.
  • Create reusable Python frameworks and libraries to standardize data ingestion, transformation, validation, and monitoring processes.
  • Apply data quality checks, validation rules, and reconciliation processes to ensure accuracy and reliability of data assets.
  • Optimize data pipelines for performance, scalability, fault tolerance, and cost efficiency.
  • Manage production data workloads, perform root cause analysis, and implement performance tuning strategies.
  • Design and maintain data models that align with business requirements and support analytics, reporting, and machine learning use cases.
  • Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
  • Develop automation solutions for operational processes, deployment activities, and data quality monitoring.
  • Implement CI/CD best practices for data engineering workflows, including version control, testing, and automated deployments.
  • Create and maintain monitoring dashboards, alerts, and operational metrics for data pipeline health and performance.
  • Ensure adherence to data governance, security, compliance, and metadata management standards.
  • Document data architecture, pipeline designs, transformation logic, and operational procedures.
  • Support the implementation of master data management, reference data management, and enterprise data integration initiatives as needed.
  • Contribute to the continuous improvement of data engineering best practices, coding standards, and architectural frameworks.
Basic Qualifications
  • 7+ years of experience in data warehouse or MDM applications.
  • Bachelor's degree in computer science, Information Technology, or related field.
  • Extensive knowledge of SQL and experience with relational databases.
  • Strong programming and scripting skills, including Python and PL/SQL.
  • Hands-on experience developing ETL/ELT data pipelines and supporting production data workloads.
Preferred Qualifications
  • Experience implementing Lakehouse architectures and Bronze/Silver/Gold (Medallion) data models.
  • Experience with cloud-based data platforms such as Azure Data Lake, AWS, or Google Cloud Platform.
  • Familiarity with Spark/PySpark and distributed data processing frameworks.
  • Experience with Git, CI/CD pipelines, and DevOps practices.
  • Experience designing reusable frameworks for data ingestion, transformation, validation, and monitoring.
  • Familiarity with data governance, security, compliance, metadata management, master data management, or reference data management standards.

Salary range: $96,550 - $138,061
In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, educationassistance, and annual meritincreaseeligibility in a growth-focused work environment.
Team Culture:
Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:
  • Passion for Technology:We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
  • Agility:We work in an agile environment, adapting quickly to changes and continuously improving our processes.
  • Teamwork:We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
  • Growth:We prioritize personal and professional growth, offering opportunities for learning and development.
  • Inclusivity: We maintain an inclusive culture where diverse perspectives are valued and everyone feels welcome.
Our Company adheres to the equal employment opportunity guidelines set forth by federal,stateand local laws.The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.

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