The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills familiarity with Java an understanding of data security privacy governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.
The candidate must have experience: Buildingend-to-end data pipelines leveraging Python. Using orchestration tools to deploy data pipelines including configuring and updating Spark Jobs. Containerizingand deploying applications in cloud environments like AWS. Workingwith MySQL and PostgreSQL including performance tuning schema design and query optimization for complex analytical standard tools for code control (Git IaaCcontrol etc.). Workingwith data catalogs tracking data lineage andhandling a variety of data formats including Geospatial. UsingBash scripting for automation and data processing tasks. IntegratingAl/ML services and models.
Responsibilities
Workwith stakeholders to understand data requirements assess feasibility and design appropriate solutions with minimal oversight
Leveragestrong problem-solving and debugging skills for data quality issues pipeline failures and performance bottlenecks
Leveragea background in large-scale data migration or platform modernization efforts
Contribute to data engineering documentation best practices and design patterns
Requirements
TS/SCI FSP Clearance
Minimum of 5 years experience:
Demonstrated experience building production data pipelines and ETL/EL workflows at scale
Proficiency with Apache Spark and PySpark for distributed data processing
Advanced Python programming skills including data manipulation libraries (Pandas NumPy) and data engineering best practices
Understanding of data security privacy governance and compliance principles
Experience with workflow orchestration tools (such as Step Functions Airflow)
Familiarity with containerization (such as Docker or Podman) and deploying data applications in cloud environments
Experience with AWS services (S3 Lambda Step Functions)
Experience with PostgreSQL and MySQL in production environments including performance tuning and schema design
Demonstrated experience with SQL and query optimization for complex analytical workloads
Experience with version control (Git) and Cl/CD practices for data pipelines
Demonstrated ability to work with stakeholders to understand data requirements assess feasibility and design appropriate solutions with minimal oversight
Strong problem-solving and debugging skills for data quality issues pipeline failures and performance bottlenecks
Highly Desired Skills
Experience with data Lakehouse architecture using Apache Iceberg
Hands-on experience configuring deploying and integrating data platform components:
Apache Ranger (access control and data governance)
Trino (distributed SQL query engine)
Data catalogs (Unity Catalog OSS Apache Polaris etc.)
Apache Superset data visualization and dashboarding)
Proficiency with Bash scripting for automation and data processing tasks
Experience with Infrastructure as Code (Terraform or CloudFormation) for data infrastructure
Familiarity or experience with tracking data lineage and associated tooling such as Open lineage
Familiarity or experience with Java
Familiarity with data quality frameworks testing methodologies and validation strategies
Background with large-scale data migrations or platform modernization efforts
Experience integrating Al/ML services and models (translation OCR speech-to-text NLP language detection topic modeling) LLMs and RAG retrieval-augmented generation) pipelines
Familiarity with geospatial data processing H3 PostGIS or similar)
Contributions to data engineering documentation best practices and design patterns
Experience with NoSQL databases (DynamoDB etc.)
About Us For more than 20 years NewGen Technologies has solved our clients toughest IT challenges with integrity security and outstanding service by delivering both technology and talent. We have helped secure borders have used artificial intelligence (AI) to fight terror aided the identification of criminals and have helped to prevent crime through the introduction of team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ
Required Experience:
IC
The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills familiarity with Java an understanding of data security privacy governance and compliance principles and a demonstrated history...
The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills familiarity with Java an understanding of data security privacy governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale.
The candidate must have experience: Buildingend-to-end data pipelines leveraging Python. Using orchestration tools to deploy data pipelines including configuring and updating Spark Jobs. Containerizingand deploying applications in cloud environments like AWS. Workingwith MySQL and PostgreSQL including performance tuning schema design and query optimization for complex analytical standard tools for code control (Git IaaCcontrol etc.). Workingwith data catalogs tracking data lineage andhandling a variety of data formats including Geospatial. UsingBash scripting for automation and data processing tasks. IntegratingAl/ML services and models.
Responsibilities
Workwith stakeholders to understand data requirements assess feasibility and design appropriate solutions with minimal oversight
Leveragestrong problem-solving and debugging skills for data quality issues pipeline failures and performance bottlenecks
Leveragea background in large-scale data migration or platform modernization efforts
Contribute to data engineering documentation best practices and design patterns
Requirements
TS/SCI FSP Clearance
Minimum of 5 years experience:
Demonstrated experience building production data pipelines and ETL/EL workflows at scale
Proficiency with Apache Spark and PySpark for distributed data processing
Advanced Python programming skills including data manipulation libraries (Pandas NumPy) and data engineering best practices
Understanding of data security privacy governance and compliance principles
Experience with workflow orchestration tools (such as Step Functions Airflow)
Familiarity with containerization (such as Docker or Podman) and deploying data applications in cloud environments
Experience with AWS services (S3 Lambda Step Functions)
Experience with PostgreSQL and MySQL in production environments including performance tuning and schema design
Demonstrated experience with SQL and query optimization for complex analytical workloads
Experience with version control (Git) and Cl/CD practices for data pipelines
Demonstrated ability to work with stakeholders to understand data requirements assess feasibility and design appropriate solutions with minimal oversight
Strong problem-solving and debugging skills for data quality issues pipeline failures and performance bottlenecks
Highly Desired Skills
Experience with data Lakehouse architecture using Apache Iceberg
Hands-on experience configuring deploying and integrating data platform components:
Apache Ranger (access control and data governance)
Trino (distributed SQL query engine)
Data catalogs (Unity Catalog OSS Apache Polaris etc.)
Apache Superset data visualization and dashboarding)
Proficiency with Bash scripting for automation and data processing tasks
Experience with Infrastructure as Code (Terraform or CloudFormation) for data infrastructure
Familiarity or experience with tracking data lineage and associated tooling such as Open lineage
Familiarity or experience with Java
Familiarity with data quality frameworks testing methodologies and validation strategies
Background with large-scale data migrations or platform modernization efforts
Experience integrating Al/ML services and models (translation OCR speech-to-text NLP language detection topic modeling) LLMs and RAG retrieval-augmented generation) pipelines
Familiarity with geospatial data processing H3 PostGIS or similar)
Contributions to data engineering documentation best practices and design patterns
Experience with NoSQL databases (DynamoDB etc.)
About Us For more than 20 years NewGen Technologies has solved our clients toughest IT challenges with integrity security and outstanding service by delivering both technology and talent. We have helped secure borders have used artificial intelligence (AI) to fight terror aided the identification of criminals and have helped to prevent crime through the introduction of team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ
After a couple of years without an operating business, NewGen Technologies (formerly Bongiovi Entertainment) is once again revving its engines following a reverse merger with alternative fuel developer ReFuel America (which now functions as its operating subsidiary). The company hopes
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