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Trainee Data Engineer Python Jobs (NOW HIRING)

Global Channel Management

AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Strong background in designing, developing, and maintaining scalable data pipelines for ingestion and processing using Python, Spark, and AWS services AWS Data Engineer, Python, Spark, AWS Services ...

Omni Inclusive

Data Engineer Python, Snowflake

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer proficient in Python development with 6+ years of ETL development experience with Azure cloud-based experience. * Understanding of Data Warehouse (Real time Data Ingestion, Data ...

Alignerr

Data Platform Engineer (Python)

Seattle, WA · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking ...

Omni Inclusive

Data Engineer/Python Developer

Greenwald, MN · On-site

$115K - $138K/yr

Data Engineer Develop, optimize, and maintain ETL/ELT pipelines using PySpark and SQL. Work with ... Strong experience in Python for data engineering tasks. Proficiency in PySpark for large-scale data ...

Alignerr

Data Platform Engineer (Python)

Seattle, WA · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape the infrastructure that trains and evaluates the most advanced AI systems in the world? We're looking ...

Alignerr

Data Platform Engineer (Python)

Denver, CO · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape the infrastructure powering the world's most advanced AI systems? We're looking for a Senior Python ...

Alignerr

Data Platform Engineer (Python)

Manhattan, NY · Remote

Data Platform Engineer (Python) About the Role What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer ...

Lorven Technologies

Python Developer

California, MO · Remote

$45 - $62/hr

Our client is looking for a Data Engineer (Python, Pyspak, Java) with a Long-Term Contract project in Remote below is the detailed requirement. Location: Remote Duration: Long term Contract MS or ...

Take-Two

Data Engineer (Python/Spark)

Austin, TX · On-site +1

$113K - $136K/yr

The Challenge We are looking for a dynamic Data Engineer to join a team involved in designing, building, and maintaining reliable and scalable data solutions. The ideal candidate is a strong Python ...

ComboCurve, Inc.

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

... of deep Python expertise, mastery of modern data processing and API frameworks, and a strong foundational understanding of mathematics, reasoning, and petroleum engineering principles.

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 ...

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 ...

Redolent, Inc.

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Data Engineer ( python, pyspark, scala, airflow) Location:Sunnyvale CA ( Hybrid ) Duration: 6 to 12+ Months Rate: DOE Bachelor or master's degree in computer science, Software Engineering, or a ...

Syntricate Technologies

Data Engineer

Sunnyvale, CA · On-site

$136K - $163K/yr

Posting Title Data Engineer (Python,Java, SQL,Spark, PySpark, Java Spark) Count: 2 Description Looking for a Data Engineer who has a passion for building scalable and high performing data pipelines ...

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All JobsTrainee Data Engineer Python Jobs

Trainee Data Engineer Python information

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$44.5K

$129.7K

$177.5K

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

As of Jun 4, 2026, the average yearly pay for trainee data engineer python in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

AspectTrainee Data Engineer PythonData Analyst
Required SkillsPython, SQL, basic data engineering conceptsExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness units, reporting teams
CertificationsPython certifications, data engineering coursesExcel, Tableau, Power BI certifications
Industry UsageBuilding data pipelines, ETL processesData analysis, reporting, insights

While both roles involve working with data, a Trainee Data Engineer Python focuses on developing data pipelines and infrastructure using Python, whereas a Data Analyst primarily interprets data to generate reports and insights. The former requires programming skills and knowledge of data engineering tools, while the latter emphasizes data visualization and business understanding.

More about Trainee Data Engineer Python jobs
What cities are hiring for Trainee Data Engineer Python jobs? Cities with the most Trainee 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 Trainee Data Engineer Python jobs? States with the most job openings for Trainee Data Engineer Python jobs include:
What job categories do people searching Trainee Data Engineer Python jobs look for? The top searched job categories for Trainee Data Engineer Python jobs are:
Trainee Data Engineer Python jobs near you
Infographic showing various Trainee Data Engineer Python job openings in the United States as of May 2026, with employment types broken down into 53% Full Time, 4% Part Time, and 43% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer (Python, Java) - Onsite - Columbia SC

NexonIT LLC

Columbia, SC • On-site

$93K - $112K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer (Python, Java) - Onsite - Columbia SC

Columbia, South Carolina, United States

About the Job

Data Engineer (Python, Java) Onsite Columbia SC

Authorized to work in the US

No H1B

Government Experience: Preferred

Overall Exp 11+ yrs

The South Carolina Department of Health & Human Services (SCDHHS) is the State Medicaid Agency for South Carolina. This agency is focused on the modernization of the States Medicaid Management Information System (MMIS). The modernization is a major undertaking for SCDHHS and requires major transformation of culture, processes and technology. The modernization program supports the Departments transition from primarily a fee-for-service payor of claims towards a program and policy driver for health outcomes primarily through managed care programs. The programs strategy supports significant innovation in MMIS thinking and mindset and is aligned with MMIS innovation at the national level as well.

Scope of the project:

The Data Operations Hub (DOH) serves as the centralized platform and team responsible for ingesting, validating, transforming, securing, and provisioning all enterprise data to support analytics, reporting, operational efficiency, and regulatory compliance.

Objectives to Be Fulfilled by Candidate:

As a Software Developer (Java) Consultant at South Carolina Department of Health and Human Services (SCDHHS), you will be a key member of the Data Operations Hub Team. Your role involves designing, developing, and implementing analytical data solutions that align with the Agency's strategic goals. You will leverage your expertise in data architecture, data modeling, data migrations and data integration, collaborating with cross-functional teams to achieve target state architecture goals.

Job Responsibilities:

  1. Represent the Data Operations Hub team in various forums, advising on Data Solutions.
  2. Lead the design and maintenance of scalable data solutions, including data lakes and warehouses.
  3. Collaborate with cross-functional teams to ensure data product solutions supports business needs and enables data-driven decision-making.
  4. Evaluate and select data technologies, driving the adoption of emerging technologies.
  5. Develop architectural models using sparkx, or other data modeling tool available and other artifacts to support data initiatives.
  6. Serve as a subject matter expert in specific areas.
  7. Experience with modern data processing technologies such as Python, Java, Airflow, etc. using data mesh & data lake.
  8. Contribute to the data engineering community and advocate for agency data practices.
  9. Engage in hands-on coding and design to implement production solutions.
  10. Optimize system performance by resolving inefficiencies.
  11. Design reusable data frameworks using new technologies.

Required Skills (rank in order of Importance):

  • Experience as Data Engineer or similar role leading technologists to manage, anticipate and solve complex technical items within your domain of expertise.
  • Hands-on experience in system design, application development, and operational stability.
  • Expertise in architecture disciplines and programming languages.
  • Deep knowledge of data architecture, modeling, integration, cloud data services, data domain driven design, best practices, and industry trends in data engineering.
  • Practical experience with AWS/Azure services, and data engineering disciplines.
  • Advanced experience in one or more data engineering disciplines, e.g, ETL/ELT, event processing.
  • Proficiency in SQL, data warehousing solutions and cloud native relational databases, e.g. Snowflake, Athena, Postgres
  • Strong problem-solving, communication, and interpersonal skills.
  • Ability to evaluate and recommend technologies for future state architecture.

Preferred Skills (rank in order of Importance):

  • Business architecture knowledge and experience with architecture assessment frameworks.

Required Education:

Bachelor's or Master's degree in Computer Science or related field.

Required Certifications: NA

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