Senior Data Engineer II

Chantilly, Virginia, United StatesHybridFull TimeSeniorPosted 1 month ago

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Role summary

MANTECH is seeking a motivated Data Engineer in Chantilly, VA to design, ingest, cleanse, transform, load, and display significant amounts of data. Responsibilities include optimizing the data lifecycle, developing custom solutions for data ingestion, creating data profiling and matching logic, and organizing Data Layer documentation. The role involves collaborating with various stakeholders to improve efficiency and articulating software solution risks and constraints. A High School Diploma with 4+ years of relevant experience is required, along with demonstrated data analysis, parsing, and programming skills in languages like Python or Java, significant SQL and database management experience, and experience with the full data lifecycle in a Big Data environment. Hands-on experience with Java-related technologies, RESTful APIs, data pipelining systems like Apache Airflow, and ETL tasks in a Linux environment are also necessary.

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𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀

𝗧𝗼 𝗲𝗻𝘀𝘂𝗿𝗲 𝘆𝗼𝘂𝗿 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗶𝘀 𝘀𝘂𝗯𝗺𝗶𝘁𝘁𝗲𝗱 𝗱𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝘁𝗼 𝘁𝗵𝗲 𝗲𝗺𝗽𝗹𝗼𝘆𝗲𝗿, 𝘆𝗼𝘂’𝗹𝗹 𝗯𝗲 𝘀𝗲𝗰𝘂𝗿𝗲𝗹𝘆 𝗿𝗲𝗱𝗶𝗿𝗲𝗰𝘁𝗲𝗱 𝘁𝗼 𝘁𝗵𝗲 𝗼𝗿𝗶𝗴𝗶𝗻𝗮𝗹 𝗷𝗼𝗯 𝗽𝗼𝘀𝘁𝗶𝗻𝗴 𝗶𝗻 𝗮 𝗻𝗲𝘄 𝘄𝗶𝗻𝗱𝗼𝘄.

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𝗔𝗯𝗼𝘂𝘁 𝘁𝗵𝗲 𝗝𝗼𝗯

MANTECH seeks a motivated, career and customer-oriented Data Engineer to join our team in Chantilly, VA.

The Data Engineer will leverage their development skills and experience to support the successful designing, ingesting, cleansing, transformation, loading, and display of significant amounts of data.

𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲 𝗯𝘂𝘁 𝗮𝗿𝗲 𝗻𝗼𝘁 𝗹𝗶𝗺𝗶𝘁𝗲𝗱 𝘁𝗼:

Designing, implementing, and optimizing data extraction, cleansing, transformation, loading, replication/distribution, and large-scale ingest systems in a Big Data environment.

Optimizing all stages of the data lifecycle, from initial planning to ingest through final display and beyond.

Developing custom solutions or code to ingest and exploit new and existing data sources.

Developing data profiling, deduping logic, and matching logic for analysis.

Organizing and maintaining Data Layer documentation while working with data scientists to craft pipelines for AI/ML workflows.

Collaborating with teammates, service providers, vendors, and users to develop more efficient methods.

Effectively articulating the risks and constraints associated with software solutions based on the environment.

𝗠𝗶𝗻𝗶𝗺𝘂𝗺 𝗤𝘂𝗮𝗹𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀:

High School Diploma with 4+ years of relevant data engineering, software development, and/or programming experience.

Demonstrated data analysis, parsing, and programming language experience such as Python or Java.

Significant experience with SQL and database management.

Experience with the full data lifecycle, from ingest through display, in a Big Data environment.

Hands-on experience with Java-related technologies, such as JDK, J2EE, EJB, JDBC, and/or Spring.

Experience with RESTful APIs, data pipelining systems like Apache Airflow, and performing ETL tasks in a Linux environment.

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