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Data Engineer Python Jobs (NOW HIRING)

Smart IT Frame

AWS Data Engineer

Atlanta, GA · On-site

$80K - $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 ...

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 ...

Euclid Innovations

Python Data Engineer

Charlotte, NC · On-site

Euclid Innovations is seeking a skilled Python Data Engineer to join their dynamic team. The role involves designing and implementing data pipelines, processing large datasets, and ensuring data ...

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$23K

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How much do data engineer python jobs pay per year?

As of Sep 11, 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 September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Big Data Engineer - Python/Scala, Spark, Hadoop

Arlington, TX • On-site

Wipro Limited
Call Centers • 5 - 10K employees
Learn more about Wipro Limitedexternal

$60K - $135K/yr

Full-time

Medical, Dental, PTO

Posted 20 days ago

Key responsibilities

  • Build robust and efficient data pipelines end-to-end with a focus on data quality.

  • Use Python or Scala, Spark, Hadoop platforms & tools, and SQL to develop Big Data products and platforms.

  • Deploy and maintain production-level data-driven applications and data processing workflows.

Wipro rating

7.2

Company rating: 7.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

Job description

Job Title: Big Data Engineer - Python/Scala, Spark, Hadoop
City: Arlington
State/Province: Texas
Posting Start Date: 8/20/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description:
Job Description
Role: Big Data Engineer - Python/Scala, Spark, Hadoop
Location: Arlington, VA (3 Days onsite/week)
Job Summary:
Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or
Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required
Mandatory Skills: Hadoop Cloudera.
Experience: 5-8 Years.
The expected compensation for this role ranges from $60,000 to $135,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.
Applicants are advised that employment in some roles may be conditioned on successful completion of a post-offer drug screening, subject to applicable state law.
Wipro provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Applications from veterans and people with disabilities are explicitly welcome.
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

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