Shell Scripting Data Jobs

1 job found

1mo ago

Data Engineer

[email protected] Burlington, VT

Burlington, VT

1mo ago Closed

$115k - $138k/yr Full time Analytics Big Data Bigdata

This position is no longer accepting applications (closed Jul 9, 2026).

Job Description

Data Engineer responsible for designing, developing, and maintaining scalable data pipelines and architectures that enable data driven decision making, with the ability to obtain a security clearance.

Responsibilities

Design, implement, and optimize end-to-end ETL pipelines to move data between systems, leveraging Informatica, Talend, and shell scripting for automation.
Build and maintain scalable data warehouses and data lakes on platforms such as Azure Data Lake and Hadoop ecosystems to support large-scale analytics.
Develop and tune complex SQL databases (Microsoft SQL Server, Oracle, and related systems) to ensure performance, security, and reliability.
Collaborate with cross functional teams to capture data requirements and translate them into technical solutions using Python, Java, Bash, and RESTful APIs.
Utilize big data frameworks like Hive, Spark, and Hadoop to process large datasets while preserving data quality and consistency.
Integrate diverse data sources to enrich datasets for analysis; use Looker for visualization and reporting.
Support model training and analysis by delivering clean, structured datasets and contribute to data model improvements through iterative testing.
Participate in Agile development cycles and document processes for ongoing maintenance.

Requirements

Ability to obtain a security clearance.
Experience designing and implementing large-scale data pipelines on AWS services such as AWS Glue and S3; familiarity with Azure Data Lake is a plus.
Strong programming skills in Python, Java, VBA, Bash (Unix shell), or Shell scripting for automation.
Extensive knowledge of SQL databases including Microsoft SQL Server and Oracle; solid data warehouse concepts.
Hands-on experience with big data frameworks in the Hadoop ecosystem (HDFS, Hive) and Spark.
Proficiency with ETL tools such as Talend or Informatica; familiarity with RESTful API integration for data exchange.
Experience using analytics platforms like Looker to create dashboards and reports that drive business insights.
Ability to design efficient database schemas and optimize query performance; strong data analysis skills.
Knowledge of model training techniques for predictive analytics; experience in Agile environments preferred.

Technologies

Informatica
Talend
Shell Scripting
Azure Data Lake
Hadoop
HDFS
Hive
Spark
Microsoft SQL Server
Oracle
Python
Java
VBA
Bash (Unix shell)
RESTful APIs
Looker
AWS Glue
S3
AWS

Benefits

401(k)
Dental insurance
Health insurance
Paid time off
Tuition reimbursement
Vision insurance

Work location

Onsite in Burlington, Vermont

Compensation

USD 114,880.73 to 138,350.98 per year

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