Data Engineer: Build Scalable Data Pipelines & Databases

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

Benefits offered by this job

Medical

Dental

Vision

HSAs

Life Insurance

Disability

Retirement

Paid vacation/time off

Educational assistance

Infertility assistance

Paid parental leave

Adoption assistance

Job summary

Koch is seeking a Data Engineer to join its Data Engineering team in Arlington, VA. You will architect, implement, and improve end-to-end pipelines, both SQL and NoSQL, while maintaining high performance and reliability of data platforms.

You will design scalable data solutions, mentor teammates, and collaborate with internal stakeholders to translate requirements into robust data flows. A strong background in Java or Python and CI/CD is essential.

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 managing multiple projects simultaneously with competing priorities
• Hands‑on experience with and strong understanding of RDBMS concepts and query optimization.
• Strong coding experience in developing enterprise applications using 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 analyzing large complex data sets to resolve data quality and performance issues.
• Experience mentoring a team of data engineers and helping set standards and frameworks.

Responsibilities

• Design, architect, and build end to end SQL and NoSQL database solutions.
• Load and process disparate data sets using PostgreSQL, Elasticsearch, Snowflake, Spark, Java, and Python.
• Translate requirements into system/data flows and develop solutions to complex business problems.
• Code applications that adhere to enterprise design patterns.
• Oversee QA and deployment processes and mentor team members.
• Resolve technical issues through debugging, research, and investigation.

Skills

Java

Python

SQL

NoSQL

ETL pipelines

Data modeling

CI/CD

Git

Education

BA/BS or Master’s in CS/CE/Info Science/Data Science/Statistics

Tools

PostgreSQL

Elasticsearch

Snowflake

Spark

Job description

Koch is seeking a Data Engineer to join its Data Engineering team in Arlington, VA. You will architect, implement, and improve end-to-end pipelines, both SQL and NoSQL, while maintaining high performance and reliability of data platforms.

You will design scalable data solutions, mentor teammates, and collaborate with internal stakeholders to translate requirements into robust data flows. A strong background in Java or Python and CI/CD is essential.