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Afternoon Data Engineer Python Jobs (NOW HIRING)

Apex Informatics

Data Engineer

$117K - $140K/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 ...

Bank of America

Data Engineer - Python/AI

Addison, IL · On-site

$114K - $137K/yr

Identifies, defines, and documents data engineering requirements, communicating required ... development in Python * 3+ years of handson AI/ML experience , building and deploying machine ...

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 ...

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Afternoon Data Engineer Python information

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How much do afternoon data engineer python jobs pay per year?

As of Sep 15, 2026, the average yearly pay for afternoon 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 the difference between Afternoon Data Engineer Python vs Data Analyst?

AspectAfternoon Data Engineer PythonData Analyst
Required SkillsPython, SQL, ETL, cloud platforms, data modelingExcel, SQL, data visualization, basic Python
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or business intelligence certifications

Afternoon Data Engineer Python roles focus on building and maintaining data pipelines using Python and related technologies, often in cloud environments. Data Analysts primarily interpret data through visualization and reporting tools. While both roles require SQL and data handling skills, data engineers work more on infrastructure, whereas data analysts focus on insights and presentation.

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Afternoon Data Engineer Python jobs near you
Infographic showing various Afternoon Data Engineer Python job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Data Engineer

Remote

Apex Informatics
IT Services • 1 - 10 employees
Learn more about Apex Informaticsexternal

$117K - $140K/yr

Contractor

Re-posted 19 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.

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