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Closed on July 9, 2026.

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Data Engineer

[email protected]
Burlington, VT $115k - $138k/yr Full time Posted 1mo ago
Analytics Big Data Bigdata Cloud Operations Data Data Analysis Data Analytics Data Engineer Data Integration Data Lake Data Pipeline Data Platform Data Processing Data Warehouse Database ETL Hadoop Hive Informatica Information Technology (IT) Shell Scripting SQL Talend
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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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