Data Engineer

Koch

Arlington (VA)

On-site

USD 120,000 - 170,000

Full time

30 hours ago
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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

Your Job

i360 is seeking a Data Engineer to join its Data Engineering team. With your technical expertise, you will architect, implement, and improve end to end pipelines, processes, procedures, and automation for all database-centric processes. You will maintain our relational and NoSQL systems for performance and reliability. You are responsible for tuning and configuring our databases and data platforms, as well as building tools and scripts to monitor, troubleshoot and automate our systems.

Our Team

The Data Engineering team plays a central role in our organization, given our focus on data. We collaborate closely with both our internal departments and external clients. Our primary responsibility involves designing, building, and upkeeping data pipelines and APIs to provide data to other teams, enabling them to create their products on that data.

What You Will Do
  • 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.
Who You Are (Basic 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.
What Will Put You Ahead
  • Experience with Cloud system architecture and design, large scale streaming data processing
  • Experience with Spring framework, AOP, JPA and REST
  • Experience with building RESTful web services
  • Experience with libraries like scikit-learn, keras and functional programming concepts.

For this role, we anticipate paying $120,000 - $170,000 per year. This role is eligible for variable pay, issued as a monetary bonus or in another form.

At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here.

Who We Are

Koch creates and innovates a wide spectrum of products and services that make life better. Our work spans a vast number of industries across the world, including engineered technology, refining, chemicals and polymers, pulp and paper, glass, electronics and many more. Headquartered in Wichita, Kansas, Koch employs about 120,000 employees across the globe.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Our Benefits

Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance.

  • medical
  • dental
  • vision
  • flexible spending and health savings accounts
  • life insurance
  • ADD
  • disability
  • retirement
  • paid vacation/time off
  • educational assistance
  • infertility assistance
  • paid parental leave
  • adoption assistance

Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu).

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