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Afternoon Data Engineer Python Jobs (NOW HIRING)

Exaways Corporation

Data Engineer (Python)

Murphy, TX

$109.40K - $131.40K/yr

* Seasoned Data engineer need to migrate data pipelines to modernize pipelines the enterprise team ... Python and framework like spark is helpful * Debugging skills * SQL is nice to have

Diverse Lynx

Data Engineer - Python/PySpark

Dallas, TX

$125K - $135K/yr

Data Engineer - Python/PySpark Location: Dallas/Irving TX (3 Days onsite/week) Fulltime Salary Range: $125,000-$135,000/Year * Strong hands-on development experience in Python, PySpark, and SQL.

Saxon Global

Data Engineer - Python

Belmont, NC

$105.20K - $126.30K/yr

... Data Engineer with experience in Azure cloud. Experience implementing solutions using: * Azure ... Experience with developing API's using FastAPI or similar frameworks in Python * Familiarity with ...

Samprasoft

Data Engineer (Python, Snowflake, SQL)

Durham, NC

$103.70K - $124.60K/yr

Data Engineer (Python, Snowflake, SQL) Location: Durham, NC/Westlake, TX/Merrimack, NH, Smithfiled, RI Duration: 12+ months * Strong hands-on experience with requirements gathering analysis, coding ...

Zifo

Data Engineer/Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

Zifo is seeking a passionate Software Developer who can work at the intersection of science, data ... Design, develop, and maintain Python-based backend services, APIs, and data pipelines on AWS

Zifo

Data Engineer/Python Developer

Boston, MA · On-site

$54.50 - $75.25/hr

Zifo is seeking a passionate Software Developer who can work at the intersection of science, data ... Design, develop, and maintain Python-based backend services, APIs, and data pipelines on AWS

Princeton IT Services

$102.10K - $122.70K/yr

Lead Data Engineer Python, PySpark & SQL Location: Canada Job Type: Full time contract We are looking for a strong Lead Data Engineer with deep experience in Python, PySpark, SQL, and AWS to design ...

Maintec Technologies

Data Engineer

Manhattan, NY · Hybrid

$126.20K - $151.60K/yr

Required Experience/Skills MUST HAVES: 5-7 Years of experience with Data Engineer/Python HADOOP SPARK SQL FINANCIAL SERVICES Day-today / Responsibilities * Building out Data Pipelines * Expand and ...

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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 Jun 4, 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.

What cities are hiring for Afternoon Data Engineer Python jobs? Cities with the most Afternoon 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 Afternoon Data Engineer Python jobs? States with the most job openings for Afternoon Data Engineer Python jobs include:
Afternoon Data Engineer Python jobs near you
Infographic showing various Afternoon Data Engineer Python job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Python Data Scientist / Data Engineer

HRC Global Services

Virginia Beach, VA • Remote

Full-time

Posted 15 days ago

Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.