Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); On-site; USD 96,000 - 129,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Charlotte, NC is seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data engineering solutions. You will work with Python, PySpark, SQL, Apache Spark, Databricks, and cloud platforms to deliver robust data processing.

Responsibilities include building ETL/ELT pipelines, optimizing data workflows with Airflow, developing data models for analytics, implementing data quality checks, and collaborating with

Qualifications

• Strong Python and PySpark proficiency.
• Advanced SQL and database optimization skills.
• Hands-on Spark and Databricks experience.
• Experience building ETL/ELT pipelines.
• Knowledge of Airflow and workflow orchestration.
• Experience with AWS services (S3, Glue, Redshift, Lambda).
• Understanding of data warehousing and lake architectures.
• Experience with Snowflake or Redshift.
• Familiarity with Git, CI/CD, and Agile methodologies.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build data processing solutions using Python, PySpark, and SQL.
• Develop and optimize data workflows using Apache Airflow.
• Implement data lake and data warehouse solutions.
• Work with large datasets using Apache Spark and Databricks.
• Integrate data from multiple sources, including APIs and databases.
• Develop and maintain data models for analytical reporting.
• Implement data quality checks and validation processes.
• Optimize query performance and pipeline execution.
• Collaborate with data analysts, architects, and business stakeholders.
• Monitor pipeline performance and troubleshoot production issues.

Skills

Python

PySpark

SQL

Apache Spark

Databricks

Airflow

AWS S3

Redshift

Snowflake

Git

CI/CD

Agile

ETL/ELT

Tools

Spark/Databricks

Job description

Job Title

Data Engineer

Location

Charlotte, NC

Duration

8 Months + Extension

Domain Exposure

Government

Client

To Be Discussed Later

Bill Rate

$82 /hour (C2C)

Job Type

W-2, 1099, C2C

Work Authorization

US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Job Summary

We are looking for an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data engineering solutions. The ideal candidate should have strong expertise in Python, SQL, Apache Spark, Databricks, and cloud-based data platforms.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build data processing solutions using Python, PySpark, and SQL.
• Develop and optimize data workflows using Apache Airflow.
• Implement data lake and data warehouse solutions.
• Work with large datasets using Apache Spark and Databricks.
• Integrate data from multiple sources, including APIs and databases.
• Develop and maintain data models for analytical reporting.
• Implement data quality checks and validation processes.
• Optimize query performance and pipeline execution.
• Collaborate with data analysts, architects, and business stakeholders.
• Monitor pipeline performance and troubleshoot production issues.

Required Technical Skills

• Strong programming experience in Python and PySpark.
• Advanced SQL skills and database optimization.
• Hands-on experience with Apache Spark and Databricks.
• Experience building ETL/ELT pipelines.
• Knowledge of Apache Airflow and workflow orchestration.
• Experience with AWS services such as S3, Glue, Redshift, and Lambda.
• Strong understanding of data warehousing and data lake architecture.
• Experience with Snowflake or Amazon Redshift.
• Familiarity with Git, CI/CD, and Agile methodologies.

Preferred Skills

• Experience with Kafka or other streaming technologies.
• Knowledge of Delta Lake and data lakehouse architecture.
• Experience with Terraform and Docker.
• Understanding of data governance and data security.
• Exposure to Azure or Google Cloud Platform.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.