Data Engineer
Steampunk
- Pay
- $125K to $160K
- a year
- Location
- Mclean, VA
- Posted
- Nov 1
- 2 days ago
Career path
See where this role leads
Jigup maps the next three moves from a job like this one, with the titles and the skills each step asks for.
About the company
Steampunk
Information technology and services · 201 to 500 employees
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.
What you'll do
- Lead and architect migration of data environments with performance and reliability
- Assess and understand the ETL jobs, workflows, BI tools, and reports
- Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
- Support an Agile software development lifecycle
What you need
- Active DHS CBP Public Trust Clearance or higher;
- 2-4 years industry experience coding commercial software and a passion for solving complex problems.
- 2-4 years direct experience in Data Engineering with experience in 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.AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)Data streaming systems: Storm, Spark-Streaming, etc.Search tools: Solr, Lucene, ElasticsearchObject-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- 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.
- AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
- Data streaming systems: Storm, Spark-Streaming, etc.
- Search tools: Solr, Lucene, Elasticsearch
- Object-oriented/object function 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, processing, and extracting value from large, disconnected datasets.
- Experience manipulating structured and unstructured data for analysis
- Experience constructing complex queries to analyze results using databases or in a data processing development environment
- Experience with data modeling tools and process
- Experience architecting data systems (transactional and 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 who build web-based interfaces, dashboards, reports, and analytics/machine learning models
Key skills
Keywords for your resumePro
The words this employer's screening is likely to look for.
This job lists resume keywords
The terms this posting uses, pulled out so you can mirror them in your resume. Jigup Pro members see the list on the job board.
See full description on company page, apply now