Senior Data Engineer

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Department Summary:

The Data Environments and Engineering Department (L146) in the Modeling & Analysis Innovation Center is seeking highly motivated, adaptive, and enthusiastic candidates with a wide variety of interests and a foundation of skills in systems engineering, software engineering, information systems, or data engineering to join our department as a Senior Data Engineer. Candidates should have a strong interest in addressing and solving challenges related to capturing, managing, and sharing data supporting decision making and enabling mission processes.

Roles and Responsibilities

Working with experienced project teams and data management experts, project tasks may include:

Designing and building prototypes for ingesting, curating, and analyzing data at scale.

Collecting and preparing data for use by data scientists and analysts

Supporting stakeholder interviews to determine data requirements and define data flows.

Documenting data transformation rules to meet the requirements for system interfaces and data integration projects

Performing data profiling to identify quality gaps and determine if data is fit for use for its intended purpose

Researching and evaluating data engineering tools and technologies

Leading or supporting sponsor work conducted in a lab environment

Basic Qualifications:

Typically requires a minimum of 5 years of related experience with a bachelor’s degree; or 3 years and a master’s degree; or a PhD without experience; or equivalent combination of related education and work experience

Secret clearance is required

Strong developer skills using SQL and Python

Hands-on experience with one or more database technologies (e.g., PostgreSQL, Oracle, MySQL, SQL Server, DB2, MongoDB, Neo4j, Couchbase, Cassandra)

Excellent written and verbal communications skills with ability to describe and present complex technical concepts in relatable terms

Strong knowledge of ETL/ELT processes, tools, and frameworks

Experience with large scale data architectures. Activities may include analysis of alternatives, technical product evaluations, requirements analysis, design, data systems prototyping, and process automation.

Experience building conceptual, logical, and physical data models

Knowledge of cloud platforms and technologies such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Proficiency in one or more modern programming languages such as Python, R, Scala, C, Java, C#, and JavaScript

Data Engineering skills to include:

Expertise in preparing data for analysis

Strong understanding of data science concepts

Experience with BI tools (https://www.altexsoft.com/blog/best-bi-tools-comparison/)

Understanding ML frameworks, algorithms, and libraries

Applied mathematics: probability and statistics

Strong innovation, problem-solving, systems analysis, planning, organizational, and interpersonal skills

Knowledge of data management practices that align with modern/emerging analytics techniques

Desire to continuously learn new techniques and evolve approaches by regularly engaging in structured educational pursuits, personal research, and outreach to subject matter experts across the corporation

Preferred Qualifications:

Master’s degree in computer science, data science, systems engineering, software engineering, or information systems

Experience migrating legacy data systems to new/modernized platforms

Hands-on experience with data flow and pipeline frameworks such as Kafka, NiFi, Spark, Airflow, and Hadoop.

Familiarity with microservice architectures, data warehousing, data fabric, data lakes, and data mesh

Understand the use of data in AI/ML and LLM

Knowledge and experience across data management domains, including data science, data governance, metadata management, data quality, business intelligence, data security & privacy, and data strategy

Experience performing source to target data mapping

Knowledge of natural language processing techniques

This requisition requires the candidate to have a minimum of the following clearance(s):

Secret

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Secret

Work Location Type:

Hybrid

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