Jr. Data Engineer at INADEV

We need one to Provide support for data migration, data engineering, and integration of existing systems.

Requirements:

NON-TECHNICAL REQUIREMENTS:

• Must be a U.S. Citizenship
• Ability to pass a 7 year background check
• Must be able to obtain and maintain a US Government Clearance (Public Trust)

MANDATORY REQUIREMENTS:

• Bachelor's Degree (technology discipline) and 0+ years technology experience with the design, management, and solutioning of large, complex data sets and models
• Basic understanding and experience in using relational databases, preferably PostgreSQL.
• Basic technical proficiency with various database architectures, designs, and modeling
• Experience developing data pipelines from many sources for structured and unstructured data sets in a variety of formats
• Proficiency developing data extraction, transformation, and loading (ETL) processes, and performing test and validation steps
• Proficiency with data manipulation using Python, R, SQL and SAS (extensive experience with Python preferred)
• Basic understanding on Data Analytics and Data Visualization with Tableau, PowerBI or Qlik
• Basic understanding of Shell scripts on Linux
• Knowledge of big data analysis and storage tools and technologies (such as Hive, Hadoop, Kylin, Airflow, Kafka, Splunk, Spark, NoSQL, etc.)
• Experience with version control systems, such as Git
• Demonstrated ability to communicate across all organization and technical levels
• Strong understanding of Agile principles and ability to apply them
• Impeccable attention to detail
• Able to prioritize work and meet deadlines effectively
• Highly self-motivated and enthusiastic about implementing new technologies
• Critical thinker and perpetual learner with desire to build skillsets across a range of technologies
• In-depth understanding of computer science fundamentals (algorithms, data structures, operating systems, networks, databases)
• Experience working with legacy systems with complex data structures
• Experience developing data pipelines to migrate data from legacy premise-based systems to modern, cloud-based platforms
• Familiarity with real-time data streaming systems
• Understanding of event-driven architectures
• Thorough understanding of data integration between different systems
• Understanding of how to process and refine large volumes of data efficiently
• Proficiency in deploying and managing data engineering solutions on cloud infrastructure (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))
• Knowledge of data governance principles and best practices for ensuring data quality, privacy, and security
• Understanding data access controls, encryption, and compliance regulations (such as FedRAMP)
• Demonstrating technical competence and ownership to broad audiences while driving progress on company strategic objectives at multiple levels
• Generating and articulating technical strategies to diverse audiences, both technical and non-technical.
• Defining and delivering minimal viable products independently or with new teams given ambiguous requirements.
• Maintaining strong ties and familiarity with at least one major technical ecosystem (through either maintenance or participation in major communities and projects).

DESIRED SKILLS:

• Federal government experience with knowledge of Federal standards (specifically DHS)
• Demonstrated experience translating business and technical requirements into comprehensive data strate

Description:

Formed in 2011, INADEV is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation.

POSITION DESCRIPTION:

Performing in a multidisciplinary small team environment using agile methodologies, the Data Engineer will support the development and integration of multiple data types across mission critical systems to perform Data Analytics and Business Intelligence focused on providing Federal customers with solutions, tools, and capabilities needed to turn data into actionable insights.

RESPONSIBILITES:

• Developing and integrating multiple data types across a range of data sets and sources
• Performing day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner
• Provide support for data migration, data engineering, and integration of existing systems.
• Evaluate current system designs and identify areas for improvement to create a system that is highly available and has low data latency.
• Plan and design the integration of various source systems and the migration of data between systems.
• Build and implement the source system integration and data migration plan.
• Developing, managing, manipulating, storing and parsing data across a data pipeline for variety of target sources and data consumers
• Writing code to ensure the performance and reliability of data extraction and processing
• Supporting continuous process automation for data ingestion
• Assisting with the maintenance of applications and tools that reside on the data driven systems (upgrades, patches, configuration changes, etc.)
• Working with program management and engineers to implement and document complex and evolving requirements
• Actively and collaboratively participating as a member of a cross-functional Agile/Scrum team while following all Agile/Scrum best practices
• Advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing
• Helping cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork
• Demonstrating significant technical competence and ownership to broad audiences while driving progress on company strategic objectives at multiple levels.
• Generating and articulating technical strategies to diverse audiences, both technical and non-technical.
• Defining and delivering minimal viable products independently or with new teams given ambiguous requirements.
• Maintaining strong ties and familiarity with at least one major technical ecosystem (through either maintenance or participation in major communities and projects).

PHYSICAL DEMANDS:

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

INADEV Corporation does not discriminate against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, sexual orientation/gender identity, or national origin.

Requirements:

NON-TECHNICAL REQUIREMENTS:

Must be a U.S. Citizenship

Ability to pass a 7 year background check

Must be able to obtain and maintain a US Government Clearance (Public Trust)

MANDATORY REQUIREMENTS:

Bachelor's Degree (technology discipline) and 0+ years technology experience with the design, management, and solutioning of large, complex data sets and models

Basic understanding and experience in using relational databases, preferably PostgreSQL.

Basic technical proficiency with various database architectures, designs, and modeling

Experience developing data pipelines from many sources for structured and unstructured data sets in a variety of formats

Proficiency developing data extraction, transformation, and loading (ETL) processes, and performing test and validation steps

Proficiency with data manipulation using Python, R, SQL and SAS (extensive experience with Python preferred)

Basic understanding on Data Analytics and Data Visualization with Tableau, PowerBI or Qlik

Basic understanding of Shell scripts on Linux

Knowledge of big data analysis and storage tools and technologies (such as Hive, Hadoop, Kylin, Airflow, Kafka, Splunk, Spark, NoSQL, etc.)

Experience with version control systems, such as Git

Demonstrated ability to communicate across all organization and technical levels

Strong understanding of Agile principles and ability to apply them

Impeccable attention to detail

Able to prioritize work and meet deadlines effectively

Highly self-motivated and enthusiastic about implementing new technologies

Critical thinker and perpetual learner with desire to build skillsets across a range of technologies

In-depth understanding of computer science fundamentals (algorithms, data structures, operating systems, networks, databases)

Experience working with legacy systems with complex data structures

Experience developing data pipelines to migrate data from legacy premise-based systems to modern, cloud-based platforms

Familiarity with real-time data streaming systems

Understanding of event-driven architectures

Thorough understanding of data integration between different systems

Understanding of how to process and refine large volumes of data efficiently

Proficiency in deploying and managing data engineering solutions on cloud infrastructure (Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP))

Knowledge of data governance principles and best practices for ensuring data quality, privacy, and security

Understanding data access controls, encryption, and compliance regulations (such as FedRAMP)

Demonstrating technical competence and ownership to broad audiences while driving progress on company strategic objectives at multiple levels

Generating and articulating technical strategies to diverse audiences, both technical and non-technical.

Defining and delivering minimal viable products independently or with new teams given ambiguous requirements.

Maintaining strong ties and familiarity with at least one major technical ecosystem (through either maintenance or participation in major communities and projects).

DESIRED SKILLS:

Federal government experience with knowledge of Federal standards (specifically DHS)

Demonstrated experience translating business and technical requirements into comprehensive data strate