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Seasonal Data Engineer Python Jobs (NOW HIRING)

Data Engineer (Python)

Murphy, TX · On-site

$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

Data Engineer - Python/PySpark

Dallas, TX · On-site

$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.

The Data Engineering - Data & Analytics (Contractor) will support the enterprise analytics platform by building, maintaining, and enhancing data pipelines and data lake infrastructure within Azure.

Data Engineer - Python

Belmont, NC · On-site

$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 ...

Sr Data Engineer (Python & Kafka)

San Antonio, TX · On-site

$104.10K - $125K/yr

Sr Data Engineer (Python & Kafka) San Antonio, TX About the Data Engineer Role As an Engineer on our group, you will be working with our Agile teams building applications to configure and run data ...

Data Engineer (Python, Snowflake, SQL)

Merrimack, NH · On-site

$117.20K - $140.80K/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 ...

Data Engineer (Python, Snowflake, SQL)

Durham, NC · On-site

$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 ...

Data Engineer (Python, Snowflake, SQL)

Roanoke, TX · On-site

$109.90K - $132K/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 ...

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

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

$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 ...

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Seasonal Data Engineer Python information

See salary details

$46K

$165K

$243.5K

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

As of Jun 4, 2026, the average yearly pay for seasonal data engineer python in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Seasonal Data Engineer Python vs Data Analyst?

AspectSeasonal Data Engineer PythonData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; Python proficiency; SQL knowledgeBachelor's in Statistics, Math, or related; Excel, SQL, and data visualization skills
Work EnvironmentProject-based, often in tech or finance sectors, with focus on data pipelinesBusiness-focused, in various industries, analyzing data to inform decisions
Employer & Industry UsageTech companies, finance, retail during seasonal peaksCorporate, marketing, healthcare, and other sectors
Common Search & ComparisonYesYes

Seasonal Data Engineer Python roles focus on building and maintaining data pipelines using Python, especially during peak seasons. Data Analysts interpret data to generate insights and reports. While both roles require data skills, Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What cities are hiring for Seasonal Data Engineer Python jobs? Cities with the most Seasonal 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 Seasonal Data Engineer Python jobs? States with the most job openings for Seasonal Data Engineer Python jobs include:

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.