Senior ETL Engineer: Data Pipelines & Analytics

UNAVAILABLE; McLean (VA); On-site; USD 110,000 - 150,000; Full time

Job summary

Unknown seeks a seasoned ETL Engineer to develop enterprise-grade data pipelines with clients. This role emphasizes strong communication, customer service, and a data-driven mindset.

Responsibilities include building reusable pipelines, testing and deploying ETL/ELT processes, and supporting BI users while collaborating with data architects on schemas for data warehouses and lakes in an Agile setting.

Qualifications

• Experience with Salesforce and Mulesoft.
• Ability to hold a position of public trust with the US government.
• 2-4 years of industry experience coding commercial software with a passion for solving complex problems.
• 2-4 years direct Data Engineering experience with tools such as ETL tools, big data tools, databases, and data pipelines.

Responsibilities

• Assess and understand ETL jobs and workflows.
• Create reusable data pipelines from source to target systems.
• Test, validate, and deploy ETL pipelines.
• Support reporting, BI, and data science end users through ETL/ELT operations.
• Collaborate with data architects to design schemas for RDBMS, warehouse, and data lake systems.
• Work within an Agile software development lifecycle.

Skills

Python

SQL

Agile

Data engineering

Tools

Salesforce

Mulesoft

ETL Tools (Informatica, Pentaho, Talend)

Big data tools (Hadoop, Spark, Kafka)

Databases (Postgres, Cassandra)

Airflow/Luigi/Azkaban

AWS/Azure

Search tools (Solr, Lucene, Elasticsearch)

Programming languages (Java, C++, Scala)

Job description

Unknown seeks a seasoned ETL Engineer to develop enterprise-grade data pipelines with clients. This role emphasizes strong communication, customer service, and a data-driven mindset.

Responsibilities include building reusable pipelines, testing and deploying ETL/ELT processes, and supporting BI users while collaborating with data architects on schemas for data warehouses and lakes in an Agile setting.