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Data Analytics Engineer/Remote/Python/Go/ETL/Kubernetes/Kafka/AWS

Arlington, Virginia

100% Remote

Full Time

$170k - $200k

Job Description:

Our client is an innovative tech firm specializing in advanced data analytics solutions. Established with a vision to empower businesses through data-driven insights, they offer a comprehensive suite of services tailored to meet the evolving needs of modern enterprises. With a focus on excellence and cutting-edge technology, our client strives to deliver scalable ETL operations and robust data analytics solutions to drive informed decision-making and foster sustainable growth. Committed to staying ahead in the dynamic landscape of data analytics, they are dedicated to providing top-tier expertise and exceptional service, enabling them to unlock the full potential of their data assets.

They are currently looking to hire a Senior ETL Operations and Data Analytics Engineer, someone that will serve as a driving force in the data-driven decision-making process. Your role will be pivotal in designing, implementing, and maintaining ETL processes, ensuring data accuracy, and providing valuable insights to propel business growth.


- Develop, implement, monitor, and refine ETL workflows to guarantee data quality and optimize performance.
- Collaborate with cross-functional teams to grasp and address data requirements effectively.
- Fine-tune ETL processes for enhanced performance and scalability.
- Construct and manage data models to cater to reporting and analysis necessities.
- Work closely with DevOps teams to deploy ETL solutions efficiently within Kubernetes environments through CI/CD pipelines.
- Provide diligent support for troubleshooting ETL processes and resolving issues promptly.
- Conduct data analysis, develop dashboards, and deliver actionable insights to stakeholders.


- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Minimum of 8 years of hands-on experience in ETL operations, Systems Operations, and Data Analytics.
- Advanced proficiency in SQL, git, various data formats (JSON, YAML, CSV), and MS Excel.
- Expertise in Python and Bash, including Object-Oriented techniques.
- Familiarity with Go, Ruby, and other languages is advantageous.
- Familiarity with Argo CD/Workflow, Kubernetes (K8s), containers, GitHub actions, Linux, and AWS.
- Proficient in SQL with experience in MySQL or similar relational databases.
- Ability to interact with databases using raw-SQL.
- Solid grasp of data modeling principles and methodologies.

Desired Skills:

- Familiarity with ELK (Elasticsearch, Logstash, Kibana) or OpenSearch for advanced log and data analysis.
- Knowledge of Jasper Reports and BIRT.
- Exposure to Apache Kafka for real-time data streaming and event-driven architectures.
- Experience with relational databases such as PostgreSQL and MySQL for managing structured data.
- Familiarity with Druid, an open-source analytics data store, and its integration into data pipelines.
- Proficiency in Apache Superset for crafting interactive and insightful data visualizations.

The Offer: You will receive the following benefits -
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
**Due to the cooperation of this role with the US State Department, United States citizenship is required. No security clearances are required.**


Posted by: Lindsay Troyer

Specialization: Data Engineering