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. • 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. • Leverage Microsoft Purview to support data cataloging, lineage, metadata management, and integration across the data environment. • Support an Agile software development lifecycle. • You will contribute to the growth of our Data Exploitation Practice! • Ability to obtain and maintain a U.S. government security clearance. • Bachelor's degree and 10+ years of total experience. • 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. • Experience with Microsoft Purview. • Experience with Databricks. • Experience with Wiz or similar cloud security platforms. • 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. 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 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. We can recommend jobs specifically for you! Click here to get started.

Requirements

Must-haves

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.
Leverage Microsoft Purview to support data cataloging, lineage, metadata management, and integration across the data environment.
Support an Agile software development lifecycle.
You will contribute to the growth of our Data Exploitation Practice!
Ability to obtain and maintain a U.S. government security clearance.
Bachelor's degree and 10+ years of total experience.
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.
Experience with Microsoft Purview.
Experience with Databricks.
Experience with Wiz or similar cloud security platforms.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsazuregcpagilesqlpostgrespythonjavamachine learning

Platform: icims
Effort: medium