Data Engineer (Jr, Mid, & Sr level roles available) Arlington, VA

Kaizen Lab Inc.

Arlington (VA)

Hybrid

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Kaizen Lab Inc. is seeking a Data Engineer to build and manage data pipelines in Databricks, design ETL processes, and optimize data structures. The ideal candidate will possess 7+ years of experience and be an expert in Databricks, Apache Spark, and SQL.

The role requires active Secret clearance and offers a hybrid working model, requiring onsite presence in Arlington/Washington DC for meetings.

Qualifications

  • 7+ years of professional experience in data engineering.
  • Expert-level proficiency in Databricks, Apache Spark, and SQL.
  • Knowledge of cloud platforms (AWS, Azure, GCP).

Responsibilities

  • Build, test, and orchestrate data pipelines in Databricks.
  • Design and optimize data structures, schemas, and ETL processes.
  • Integrate code into GitHub/GitLab and support CI/CD practices.

Skills

Data pipeline orchestration
SQL proficiency
Databricks expertise
Problem-solving
Collaboration skills

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

Tools

Databricks
Apache Spark
Kafka
Airflow
AWS Glue
GitHub
GitLab

Job description

Responsibilities


  • Build, test, and orchestrate data pipelines in Databricks.

  • Design and optimize data structures, schemas, and ETL processes.

  • Translate business use cases into SQL queries, reports, and dashboards.

  • Manage database objects in development environments without impacting production.

  • Automate workflows using Databricks Workflows or the Jobs API.

  • Integrate code into GitHub/GitLab and support CI/CD practices.

  • Diagnose data gaps/quality issues and design test cases for validation.

  • Collaborate with developers and analysts to synchronize code and ensure reliability.


Requirements


  • Active Secret clearance (required).

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

  • 7+ years of professional experience in data engineering.

  • Expert‑level proficiency in Databricks, Apache Spark, and SQL.

  • Experience with Kafka, Airflow, or AWS Glue for ETL.

  • Proficiency in CI/CD pipelines and GitHub/GitLab version control.

  • Knowledge of cloud platforms (AWS, Azure, GCP).

  • Excellent problem‑solving, debugging, and collaboration skills.

  • Position will be hybrid, onsite in Arlington/Washington DC depending on meetings.


Rubix Solutions LLC is an EEO Employer - M/F/Disability/Protected Veteran Status

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