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Data Engineer Python Jobs (NOW HIRING)

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112.40K - $134.90K/yr

Python, AWS (S3, Redshift, Aurora, Athena, Glue), Github, Bitbucket, Bamboo, Agile, Growth mindset, Quick learner, Adobe, Kore * Data Engineer: Nice to have: DPX blueprint process, Dremio, Dell Boomi ...

Purple Drive Technologies

Data Engineer

San Antonio, TX · On-site

$103.30K - $124K/yr

Programming: Python * Databases: Netezza, AWS S3, Snowflake * Processes: CI/CD, Data Modeling, Data Integration Required Skills: * Proven experience in data engineering , ETL/ELT design , and ...

Vitol

Python Data Engineer

Houston, TX

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Vitol

Python Data Engineer

Houston, TX · On-site

This Role is located in Houston, TX - In office 5x a week We are looking for a talented and motivated Python Data Engineer to help us expand our data assets in support of our analytical capabilities ...

Cliff Services Inc

Jr Data Engineer - Onsite - W2

Mclean, TX

$107.90K - $129.60K/yr

Data Engineer (Python / Spark / AWS) on W2 Location: Richmond, VA / McLean, VA / Dallas, TX Onsite (LOCALS only) Duration: Long Term Contract Interview Process:: Internal Screening Round followed by ...

swirecc

Data Engineer

Draper, UT

$107K - $128.50K/yr

Programming- (Python/Scala/Java/VB and etc) required, Python preferred * ETL * Cloud Development (Azure/AWS/GCP) Azure preferred * Data Modelling * Software Architecture * Cloud Architecture

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How much do data engineer python jobs pay per year?

As of May 31, 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.
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What cities are hiring for Data Engineer Python jobs? Cities with the most Data Engineer Python job openings:
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Data Engineer Python jobs near you
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 (Python / Power BI / Cloud)

TSG Risk Management

New York, NY • Hybrid

Contractor

Posted 12 days ago

Job description

Location Requirement

This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.

Position Overview

We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration, and will play a key role in delivering high-quality, data-driven insights across the organization.

The ideal candidate is hands-on with Python, SQL, and ETL development, while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.

Key Responsibilities
  • Design, develop, and maintain secure and scalable data pipelines and ETL processes
  • Build and optimize data models to support analytics and reporting use cases
  • Develop Power BI dashboards and reports to deliver actionable insights
  • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
  • Participate in Agile ceremonies and project meetings, ensuring alignment on deliverables, timelines, and quality standards
  • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
  • Develop and maintain Python scripts for data extraction, transformation, and automation
  • Support metric development and reporting automation initiatives
  • Contribute to infrastructure-related activities, including deployments and environment support
  • Create and maintain technical documentation (e.g., Confluence)
  • Provide regular updates on progress, risks, and dependencies to stakeholders
Required Qualifications
  • 4-6+ years of experience in data engineering or related field
  • Strong experience with Python and SQL
  • Hands-on experience building and maintaining ETL/data pipelines
  • Experience with data modeling and working with structured datasets
  • Experience with Power BI (dashboard development and reporting)
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
  • Experience working in Agile environments with cross-functional teams
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills with the ability to work with both technical and non-technical stakeholders
Preferred Qualifications
  • Experience with data automation and metric standardization
  • Exposure to infrastructure deployments or DevOps practices
  • Experience with Confluence or similar documentation tools
  • Prior experience supporting enterprise reporting or analytics initiatives
Employment Type: CONTRACTOR

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