Data Engineer - End-to-End Pipelines & Data Platforms

Koch; Arlington (VA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Variable pay bonus

Job summary

i360is seeks a Data Engineer to join its Data Engineering team at Koch. You will architect, implement, and improve end-to-end pipelines and data platforms, maintaining relational and NoSQL systems with a focus on performance and reliability.

You will collaborate with internal teams and clients to design data flows, load diverse datasets using PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python, and build enterprise-grade data solutions.

Qualifications

• BA/BS or Master's degree in Computer Science, Computer Engineering, Information Science or Data Science/Statistics.
• At least 3 years of hands-on experience in data engineering, business intelligence, data modeling, building ETL pipelines and multi-dimensional data warehouses.
• Experience with RDBMS concepts and query optimization.
• Strong coding in Java or Python.
• Understanding of DevOps/DataOps and CI/CD toolset such as git, GitLab CI, GitHub Actions.
• Experience building, scaling, and maintaining high volume systems.
• Experience mentoring a team of data engineers.

Responsibilities

• Manage multiple projects simultaneously, balancing priorities and maintaining clear communication with stakeholders and team members.
• Design, architect, and build end to end SQL and NoSQL database solutions. This includes determining business requirements, recommending technologies, architecting, developing code, mentoring team members, and overseeing QA and deployment processes.
• Load and process disparate data sets using technologies including but not limited to PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python.
• Work with business users to translate requirements into system flows, data flows, data mappings etc., and develop solutions to complex business problems.
• Code applications that adhere to enterprise design patterns.
• Resolve technical issues through debugging, research, and investigation.

Skills

Java

Python

SQL

NoSQL

Data modeling

DevOps

Git/GitLab CI/GitHub Actions

ETL pipelines

Education

BA/BS or Master's degree in Computer Science, Computer Engineering, Information Science or Data Science/Statistics

Tools

PostgreSQL

Elasticsearch

Snowflake

Spark

Spring framework

Job description

i360is seeks a Data Engineer to join its Data Engineering team at Koch. You will architect, implement, and improve end-to-end pipelines and data platforms, maintaining relational and NoSQL systems with a focus on performance and reliability.

You will collaborate with internal teams and clients to design data flows, load diverse datasets using PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python, and build enterprise-grade data solutions.