Steampunk, Inc.
From Steampunk, Inc.'s careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Overview We are looking for a seasoned ETL Engineer to work with our team and our clients to develop enterprise grade data pipelines.
Overview
We are looking for a seasoned ETL Engineer to work with our team and our clients to develop enterprise grade data pipelines. We are looking for more than just an "ETL Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Contributions
Ability to obtain a government clearance, DOD Tier 3 clearance preferred
Assess and understand ETL jobs and workflows
Create reusable data pipelines from source to target systems
Test, validate, and deploy ETL pipelines
Support reporting, business intelligence, and data science end users through ETL and ELT operations
Work with data architects to create data models and design schemas for RDBMS, warehouse, and data lake systems
Key must have skill sets – Python, SQL
Work within an Agile software development lifecycle
You will contribute to the growth of our Data Exploitation Practice!
Required experience using Salesforce and Mulesoft
Ability to hold a position of public trust with the US government.
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:
ETL Tools: Python, Informatica, Pentaho, Talend
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
CompTIA Network + preferred.
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 structured and unstructured data for analysis
Experience constructing complex queries to analyze results using databases or in a data processing development environment
Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
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 $110,000 to $130,000. 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.
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