Senior Data Engineer

Robotics Technologies LLC; Harrisburg (Dauphin County); On-site; USD 120,000 - 160,000; Full time

Job summary

Robotics Technologies LLC is seeking a data engineer to build cloud-based data services and pipelines using AWS and big data tools. You will work with Python/Java/C++ and SQL/NoSQL databases to design scalable data models and governance practices.

Role requires experience with ETL/ELT, metadata catalogs, and streaming technologies. Based in Harrisburg, PA, on-site employment with collaboration across teams.

Qualifications

• Hands-on cloud data services experience and data-architecture knowledge.
• Proficiency in Python, R, Java, C++, Scala for data processing.
• Strong SQL and NoSQL database skills across Oracle, MS SQL, Postgres, Cassandra.
• Experience with Git and CI/CD pipelines in data environments.
• Knowledge of data modeling, governance, lineage and quality frameworks.
• Familiarity with REST API design and big data tooling.

Responsibilities

• Design and implement cloud-based data pipelines and storage layers.
• Model data using dimensional modeling, vaults, and star/snowflake schemas.
• Use AWS Glue Data Catalog and other cataloging tools for metadata management.
• Collaborate on data governance, quality, and lineage initiatives.
• Integrate data via REST APIs and streaming/batch frameworks like Spark.

Skills

AWS services

Python

R

Java

C++

Scala

SQL & NoSQL databases

Oracle

MS SQL Server

Postgres

Cassandra

Git

CI/CD pipelines

Data modeling

Dimensional modeling

Data vault

Star/snowflake schemas

AWS Glue Data Catalog

Data governance

Data lineage

Data quality

REST APIs

REST API design

Big data tools

Hadoop

Spark

Kafka

Azkaban

Luigi

Airflow

Informatica

MuleSoft

Talend

TIBCO

Storm

Spark-Streaming

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.