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Data Engineer Python Jobs (NOW HIRING)

Data Engineer

$117.20K - $140.70K/yr

Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that ...

DATA ENGINEER

$117.20K - $140.70K/yr

Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS Position Summary: The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that ...

Data Engineer

Charlotte, NC · On-site

$111.80K - $134.30K/yr

Data Engineer (Python,FAST API, Apache) Charlotte, NC Contract We are seeking a Python-based platform engineer to design and build a containerized API layer that abstracts and governs interactions ...

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117.10K - $140.60K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub ...

Data Engineer (Python/PySpark/AWS)

Ashburn, VA · On-site

$117.10K - $140.60K/yr

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our clients data infrastructure. Your expertise in Python, PySpark, ETL processes, CI/CD (Jenkins or GitHub ...

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 ...

Data Engineer - Python, Pyspark , AWS Glue, AWS Lambda, AWS EMR, Rds/redshift, ETL, API Management SQL Python, Pyspark AWS Glue ETL

AWS Data Engineer

San Francisco, CA · On-site

$134.90K - $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 ...

Data Engineer - Python, Pyspark , AWS Glue, AWS Lambda, AWS EMR, Rds/redshift, ETL, API Management SQL Python, Pyspark AWS Glue ETL

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Data Engineer Python information

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How much do data engineer python jobs pay per year?

As of May 30, 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 job?

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 are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

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.

What are the typical daily responsibilities of a Data Engineer Python?

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 cities are hiring for Data Engineer Python jobs? Cities with the most Data Engineer Python job openings:
What are the most commonly searched types of Data Engineer Python jobs? The most popular types of Data Engineer Python jobs are:
What states have the most Data Engineer Python jobs? States with the most job openings for Data Engineer Python jobs include:
What job categories do people searching Data Engineer Python jobs look for? The top searched job categories for Data Engineer Python jobs are:
Infographic showing various Data Engineer Python job openings in the United States as of May 2026, with employment types broken down into 63% Full Time, and 37% Contract. Highlights an 81% In-person, 15% Hybrid, and 4% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Data Engineer

$117.20K - $140.70K/yr

Contractor

Posted 2 days ago


Job description

Title: Senior Data Engineer
Location: Remote

Duration: 06 Months (C2H Role)
Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT (Data Build Type)/ AWS
Position Summary:
The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems.
Minimum Qualifications:
• 8+ Years overall IT experience with minimum 5 years of work experience in below tech skills
• Tech Skills:
§ Strong experience in Python Scripting and PySpark for data processing
§ Proficiency in SQL, dealing with big data over Informatica ETL
§ Proven experience in Data quality and data optimization of data lake in Iceberg format, with strong understanding of architecture
§ Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Postgres, SNS, Event bridge)
§ Expertise in BASH/Shell scripting
§ Experience in Data Build Tool (DBT) or similar data transformation tools
§ Experience in Mulesoft API
§ Nice to have: Kafka, Tableau
• Strong understanding of healthcare data systems and experience leading data engineering teams
• Experience in Agile environments.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration skills.
Responsibilities:
  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-quality data solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Work with DBT (Data Build Tool) for transforming raw data into actionable insights.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.