Smart IT Frame LLC
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Charlotte, NC, with a 5+ year experience requirement in data engineering, Python, and PySpark. The contract length is unspecified, with a focus on financial crimes data initiatives and strong communication skills needed.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
August 13, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Charlotte Metro
-
🧠 - Skills detailed
#Data Quality #Jira #Batch #Storage #BigQuery #Data Transformations #Scala #Datasets #Metadata #Documentation #Data Engineering #Data Modeling #Google Cloud Storage #PySpark #GCP (Google Cloud Platform) #Spark (Apache Spark) #Agile #Apache Spark #Data Pipeline #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Governance #Migration #Python #Cloud
Role description
Job Title: Data Engineer / Data Platform Engineer (Python, PySpark)
FinCrime Tech – Data Engineer (Python / PySpark)
Onsite in Charlotte, NC
About Smart IT Frame:
At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.
Role Summary
Financial Crimes Technology team is evolving toward more in-house build capabilities and reducing dependency on legacy vendor/tooling approaches. This role will support data engineering and platform development for financial crimes use cases (AML, investigations, sanctions, fraud, KYC) by building scalable pipelines, improving data quality, and enabling analytics/reporting and downstream applications.
Key Responsibilities
• Build and maintain batch and/or streaming data pipelines supporting financial crimes initiatives.
• Develop data transformations using Python + PySpark and optimize performance for large datasets.
• Apply strong understanding of Apache Spark architecture (executors, partitions, shuffles, joins, caching) to improve performance
• Partner with business and technical stakeholders to translate requirements into data models, mappings, and curated datasets.
• Support ingestion from multiple sources (transactional systems, case management, reference data, etc.).
• Implement data quality checks, reconciliation, and controls to ensure auditability and reliability.
• Contribute to modernization efforts (legacy → in-house build) including migration planning and redesign.
• Create documentation for pipelines, logic, and operational runbooks.
• Work within Agile delivery (Jira), supporting sprint execution and delivery timelines.
Required Skills
• 5+ years of experience in data engineering / ETL / data platform development
• Strong hands-on development in:
o Python
o PySpark / Apache Spark
o Advanced SQL
• Experience working with large-scale data sets and performance tuning.
• Strong understanding of data concepts: data modeling, lineage, metadata, governance
• Experience supporting regulated environments with emphasis on controls and audit readiness
• Strong communication skills (ability to work with both engineering + business partners)
Preferred Skills (Nice to Have)
• Experience running PySpark workloads on Google Cloud Platform (GCP)
o Dataproc, BigQuery, Google Cloud Storage (GCS), etc.
Apply today or share profiles at hamanth@smartitframe.com
Job Title: Data Engineer / Data Platform Engineer (Python, PySpark)
FinCrime Tech – Data Engineer (Python / PySpark)
Onsite in Charlotte, NC
About Smart IT Frame:
At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together.
Role Summary
Financial Crimes Technology team is evolving toward more in-house build capabilities and reducing dependency on legacy vendor/tooling approaches. This role will support data engineering and platform development for financial crimes use cases (AML, investigations, sanctions, fraud, KYC) by building scalable pipelines, improving data quality, and enabling analytics/reporting and downstream applications.
Key Responsibilities
• Build and maintain batch and/or streaming data pipelines supporting financial crimes initiatives.
• Develop data transformations using Python + PySpark and optimize performance for large datasets.
• Apply strong understanding of Apache Spark architecture (executors, partitions, shuffles, joins, caching) to improve performance
• Partner with business and technical stakeholders to translate requirements into data models, mappings, and curated datasets.
• Support ingestion from multiple sources (transactional systems, case management, reference data, etc.).
• Implement data quality checks, reconciliation, and controls to ensure auditability and reliability.
• Contribute to modernization efforts (legacy → in-house build) including migration planning and redesign.
• Create documentation for pipelines, logic, and operational runbooks.
• Work within Agile delivery (Jira), supporting sprint execution and delivery timelines.
Required Skills
• 5+ years of experience in data engineering / ETL / data platform development
• Strong hands-on development in:
o Python
o PySpark / Apache Spark
o Advanced SQL
• Experience working with large-scale data sets and performance tuning.
• Strong understanding of data concepts: data modeling, lineage, metadata, governance
• Experience supporting regulated environments with emphasis on controls and audit readiness
• Strong communication skills (ability to work with both engineering + business partners)
Preferred Skills (Nice to Have)
• Experience running PySpark workloads on Google Cloud Platform (GCP)
o Dataproc, BigQuery, Google Cloud Storage (GCS), etc.
Apply today or share profiles at hamanth@smartitframe.com
