Senior Data Engineer

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

We are looking for a seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Senior Data Engineer", we need a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Contributions

• Lead and architect the migration of data environments with a focus on performance and reliability.
• Assess and understand ETL jobs, workflows, BI tools, and reports.
• Address technical inquiries concerning customization, integration, enterprise architecture, and general features and functionality of data products.
• Design and develop database and data warehouse solutions in cloud environments leveraging platforms such as AWS, Azure, or GCP.
• Design, develop, and optimize scalable data solutions using Databricks.
• Support an Agile software development lifecycle.
• You will contribute to the growth of our Data Exploitation Practice!

Qualifications

• Ability to obtain and maintain a U.S. government security clearance.
• Bachelor's degree.
• 5-7 years of direct experience in Data Engineering, including experience with tools such as:
  • Big data tools: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Cloud services across AWS, Azure, or GCP.
  • Data streaming systems: Storm, Spark-Streaming, etc.
  • Search tools: Solr, Lucene, Elasticsearch.
  • Programming and scripting languages: Python, Java, C++, Scala, etc.
• Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL), as well as working familiarity with a variety of databases.
• Experience with message queuing, stream processing, and highly scalable 'big data' data stores.
• Experience manipulating and processing large, disconnected structured and unstructured datasets to support analysis and extract value.
• Experience constructing complex queries to analyze results using databases or in a data processing development environment.
• Experience with data modeling tools and processes.
• Experience architecting transactional data systems and data warehouses.
• Experience aggregating results and/or compiling information for reporting from multiple datasets.
• Experience working in an Agile environment.
• Experience supporting project teams of developers and data scientists building web-based interfaces, dashboards, reports, and analytics/machine learning models.

About Steampunk

Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $165,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. If you want to learn more about our story, visit http://www.steampunk.com.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Steampunk participates in the E-Verify program.