Senior Data Engineer

Quantum Technologies. LLC; Harrisburg (Dauphin County); On-site; USD 90,000 - 150,000; Full time

Job summary

Quantum Technologies LLC in Harrisburg, PA, seeks a data engineering professional with hands-on AWS data services experience to design and run scalable data pipelines. You will work with Python, Java, and SQL to transform data for analytics and ML applications.

The role covers data modeling (dimensional, data vault, star/snowflake), metadata management, REST API integration, and big data tools like Spark, Hadoop, Kafka, and Airflow.

Qualifications

• Hands-on with AWS data services and cloud-based data platforms.
• Proficiency in Python, Java, and SQL for data processing.
• Experience with relational and NoSQL databases and data modeling.
• Familiarity with ETL tools and version control/CI pipelines.
• Knowledge of data governance, metadata, and REST APIs.

Skills

AWS

Python

Java

C++

Scala

R

SQL

NoSQL

Git

CI/CD

Data modeling

REST APIs

Hadoop

Spark

Kafka

Airflow

Informatica

MuleSoft

Talend

TIBCO

AWS Glue Data Catalog

Tools

AWS Glue Data Catalog

Informatica

MuleSoft

Talend

TIBCO

Azkaban

Luigi

Airflow

Storm

Spark-Streaming

Hadoop

Kafka

Oracle

MS SQL Server

PostgreSQL

Cassandra

Job description

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

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

Job Description:

• Hands-on experience with cloud-based data services such as AWS (e.g. S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, DynamoDB)
• Proficiency in object-oriented/object function scripting languages: e.g., Python, R, Java, C++, Scala
• Proficiency in relational SQL and NoSQL databases, including Oracle, MS SQL Server, Postgres, Cassandra.
• Experience with version control systems such as Git and CI/CD pipelines
• Knowledge of data modeling techniques including dimensional modeling, data vault, and star/snowflake schemas.
• Familiarity with data cataloging and metadata management tools such as AWS Glue Data Catalog.
• Understanding of data governance, data lineage, and data quality frameworks.
• Knowledge of REST API design and integration patterns.
• Experience with big data tools: e.g. Hadoop, Spark, Kafka.
• Experience with data pipeline and workflow management tools: e.g. Azkaban, Luigi, Airflow.
• Experience with data integration services solutions from vendors such as Informatica, MuleSoft, Talend, and TIBCO.
• Experience with stream-processing systems: e.g. Storm, Spark-Streaming.

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.