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Data Engineer Python Jobs in Charlotte, NC (NOW HIRING)

Judge Group, Inc.

Software Engineer

Charlotte, NC · On-site

$69 - $74/hr

Data Engineer / Data Platform Engineer (Python, PySpark) Location: Remote/Hybrid (TBD; non-NYC preferred based on team guidance) Employment Type: Contingent Resource Assignment About the Role The ...

Redolent, Inc.

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

We are currently seeking a Big Data Engineer for an onsite position located in Charlotte, NC ... Scala, Python, PHP, or Shell Scripting * Proficiency with the Linux operating system * Experience ...

Strategic Staffing Solutions

Data Engineer

Charlotte, NC · Hybrid

$111K - $134K/yr

Data Engineer Location: Charlotte, NC Type: W2 Contract - 12 months Work Schedule: Onsite-Hybrid ... Experience with Python or Java Experience with ETL tools and data pipeline frameworks Experience ...

Apex Informatics

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Data Engineer Contract: Ongoing contract (up to 24 months) Location: Charlotte NC Onsite / Hybrid ... Python for data processing and ETL tasks Strong experience with PySpark for large-scale data ...

Carolina IT Professionals, Inc

Data Engineer

Matthews, NC

$107K - $129K/yr

Required Skills GCP/ Big query Experience ? 1 year minimum Scala/ Python - 3+ years SQL ? 3+ years ... more programming language Scala/ Python Preferred Skills Exposure to building semantic layer in ...

1 point system

Sr. Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Skills required would be Python, SQL, Spark, AWS Infrastructure and CI/CD Pipelines (GitHub). * ETL ... for data engineering * They will be laying the foundation and drawing out the road map as well as ...

Programmers.io

Azure Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

· Cloud & Data Engineer with hands-on experience deploying and administering Azure resources ... of Python, PySpark, and SQL performance tuning for large-scale data processing and analytics ...

Softratech LLC

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Strong experience with SQL, Python, and cloud-based platforms like AWS, Google Cloud Platform, or ... data scientists and product teams to turn complex problems into elegant engineering solutions.

Apex Systems

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Knowledge of programming languages such as Java and Python. * Experience with big data technologies like Hadoop or Spark. * Proficiency in SQL and other data manipulation languages. * Technical ...

Carolina IT Professionals, Inc

Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Required SkillsGCP/ Big query Experience 1 year minimumScala/ Python - 3+ yearsSQL 3+ yearsStrong ... more programming language Scala/ PythonPreferred SkillsExposure to building semantic layer in ...

DPR Construction

PCA Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory ... Collaborate with other engineers, delivery leads and platform teams to ensure data solutions meet ...

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All JobsData Engineer Python JobsData Engineer Python Jobs in Charlotte, NC

Data Engineer Python information

See Charlotte, NC salary details

$22.5K

$136.7K

$197.8K

How much do data engineer python jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data engineer python in Charlotte, NC is $136,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,900.00 and $160,700.00 per year, depending on experience, location, and employer.

What is a Data Engineer Python job?

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 are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

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.

What are the typical daily responsibilities of a Data Engineer Python?

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 popular job titles related to Data Engineer Python jobs in Charlotte, NC? For Data Engineer Python jobs in Charlotte, NC, the most frequently searched job titles are:
What job categories do people searching Data Engineer Python jobs in Charlotte, NC look for? The top searched job categories for Data Engineer Python jobs in Charlotte, NC are:
Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Charlotte, NC as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,712 per year, or $65.7 per hour.
Software Engineer

Software Engineer

Judge Group, Inc.

Charlotte, NC • On-site

$69 - $74/hr

Other

Re-posted 14 days ago

Job description

Location: Charlotte, NC Salary: $69.00 USD Hourly - $74.00 USD Hourly Description:
Data Engineer / Data Platform Engineer (Python, PySpark)
Location: Remote/Hybrid (TBD; non-NYC preferred based on team guidance)
Employment Type: Contingent Resource Assignment
About the Role
The Financial Crimes Technology organization is expanding its in-house data engineering and platform development capabilities to reduce reliance on legacy vendor solutions. As a Data Engineer, you will design and build scalable data pipelines and foundational data platforms that support critical financial crimes functions-including AML, investigations, sanctions, fraud, and KYC. You will work with large datasets, improve data quality, and enable analytics, reporting, and downstream applications.
This role involves solving complex engineering problems, collaborating with cross-functional teams, and applying deep expertise in data processing, controls, and compliance-focused environments.
Responsibilities
  • Design, build, and maintain batch and/or streaming data pipelines for financial crimes use cases.
  • Develop scalable data transformations using Python and PySpark, optimizing performance for large distributed datasets.
  • Apply strong knowledge of Apache Spark internals (executors, partitions, shuffles, joins, caching) to tune workloads.
  • Collaborate with engineering, analytics, and business partners to translate requirements into data models, mappings, and curated datasets.
  • Support ingestion of data from multiple internal systems (transactional, case management, reference data, etc.).
  • Implement data quality checks, reconciliation frameworks, lineage tracking, and controls to ensure auditability and reliability.
  • Contribute to modernization efforts, including migration from legacy tooling to in-house platforms.
  • Create high-quality technical documentation, including runbooks, pipeline logic, and architecture references.
  • Participate in Agile ceremonies and deliver work aligned to sprint goals using Jira.
Minimum Qualifications
  • 5+ years of experience in data engineering, ETL development, or data platform engineering, or equivalent experience through work, training, military service, or education.
  • Expertise in:
    • Python
    • PySpark / Apache Spark
    • Advanced SQL
  • Experience working with large-scale datasets and performance optimization.
  • Strong understanding of data modeling, metadata, lineage, and governance concepts.
  • Experience in regulated environments with strong control and audit requirements.
  • Excellent communication skills and ability to work with technical and non-technical partners.
Preferred Qualifications
  • Experience running PySpark on Google Cloud Platform (Google Cloud Platform) (e.g., Dataproc, BigQuery, GCS).
  • Hands-on experience with cloud-native big data platforms.
  • Knowledge of data governance, security best practices, and compliance requirements.
  • Experience with CI/CD for data pipelines, including Git-based workflows.
  • Familiarity with orchestration tools such as Airflow.
  • Experience with streaming technologies (e.g., Kafka).
  • Exposure to lakehouse/warehouse technologies such as Databricks, Snowflake, or BigQuery.
  • Experience implementing encryption, access controls, data masking, and handling PII.
Domain Experience (Highly Valued)
  • Experience in financial crimes or risk disciplines: AML, transaction monitoring, investigations, sanctions screening, fraud, or KYC.
  • Understanding of regulatory expectations and strong documentation standards.

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