Senior Data Engineer

Cloud Analytics Technologies, LLC; Harrisburg (Dauphin County); On-site; USD 110,000 - 140,000; Full time

Job summary

Cloud Analytics Technologies, LLC is seeking a skilled data engineer to design, build, and optimize data pipelines on cloud platforms. You will work with AWS services, implement ETL processes, and ensure data quality across streaming and batch workloads.

The role requires strong Python/SQL skills, experience with data modeling, and familiarity with REST APIs and modern big data tools. Join a team delivering analytics solutions to enable data-driven decisions.

Qualifications

• Strong experience with cloud data services (AWS) and data engineering.
• Proficiency in Python, Java, or Scala and SQL/NoSQL databases.
• Experience with ETL, data governance, and data modeling.
• Familiarity with REST APIs and streaming tech (Spark, Kafka).

Skills

AWS

Python

SQL

NoSQL

Git & CI/CD

Data modeling

REST APIs

Big data

Spark

Kafka

Airflow

Education

Bachelor's degree in a related field

Tools

AWS Glue Data Catalog

Hadoop

Apache Spark

Kafka

Airflow

Azkaban

Luigi

Informatica

MuleSoft

Talend

TIBCO

Git

Job description

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

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-4-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.

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