Senior Data Engineer: Architect Cloud Data Platforms

Steampunk, Inc.; McLean (VA); On-site; USD 125,000 - 165,000; Full time

Job summary

Steampunk is seeking a seasoned Senior Data Engineer to build enterprise-grade data platforms, services, and pipelines. The candidate will lead migrations, optimize data environments, and collaborate with clients on scalable solutions.

Ideal candidates have 5–7 years in data engineering, strong SQL, and experience with Hadoop/Spark/Kafka, cloud services (AWS/Azure/GCP), and Databricks. Must be able to obtain US security clearance.

Qualifications

• Bachelor's degree required.
• 5-7 years of direct Data Engineering experience.
• Experience with Hadoop, Spark, Kafka and related big data tools.
• Strong SQL and familiarity with both relational and NoSQL databases.
• Experience with ETL, data pipelines, and data warehousing.
• Ability to obtain and maintain a U.S. government security clearance.
• Excellent communication and customer service skills.

Responsibilities

• Lead and architect migration of data environments with focus on performance and reliability.
• Assess ETL jobs, workflows, BI tools, and reports.
• Address inquiries on customization, integration, and enterprise data products.
• Design and develop database and data warehouse solutions in cloud environments (AWS/Azure/GCP).
• Design, develop, and optimize scalable data solutions using Databricks.
• Support an Agile software development lifecycle.
• You will contribute to the growth of Steampunk's Data Exploitation Practice.

Skills

Hadoop

Spark

Kafka

Postgres

NoSQL databases

Python

Java

C++

Scala

Airflow

SQL optimization

Databricks

AWS

Azure

GCP

Data modeling

Data pipelines

Education

Bachelor's degree

Tools

Azkaban

Luigi

Elasticsearch

Storm

Spark-Streaming

Postgres

Cassandra

Job description

Steampunk is seeking a seasoned Senior Data Engineer to build enterprise-grade data platforms, services, and pipelines. The candidate will lead migrations, optimize data environments, and collaborate with clients on scalable solutions.

Ideal candidates have 5–7 years in data engineering, strong SQL, and experience with Hadoop/Spark/Kafka, cloud services (AWS/Azure/GCP), and Databricks. Must be able to obtain US security clearance.