**Experienced Full Stack Data Engineer – Cloud and Big Data Architecture Development**

Posted 2026-05-06
Remote, USA Full-time Immediate Start

Join arenaflex, a dynamic and innovative company, where data drives success. We're seeking a highly skilled Full Stack Data Engineer to join our Information and Investigation group for arenaflex Web-based features (DSS). This role offers a competitive salary and the opportunity to work remotely in a collaborative and agile environment.

  • *About arenaflex**

arenaflex is a leading company in the industry, known for its commitment to innovation and customer satisfaction. Our team of experts is dedicated to delivering high-quality solutions that meet the evolving needs of our clients. As a Full Stack Data Engineer at arenaflex, you will be part of a dynamic team that is passionate about data-driven decision making and problem-solving.

  • *Job Details:**
  • **Hiring Organization:** arenaflex
  • **Post Name:** Experienced Full Stack Data Engineer
  • **Qualifications:** Bachelor's Degree
  • **Industry:** Private
  • **Employment Type:** Full Time
  • **Work Hours:** 8 Hours
  • **Salary:** Competitive
  • **Locations:** San Francisco, USA
  • *Job Description:**

We're looking for a highly motivated and experienced Full Stack Data Engineer to join our team. As a Full Stack Data Engineer, you will be responsible for designing and developing advanced data solutions, collaborating with cross-functional teams, and ensuring high-quality data management. You will work closely with our data scientists, data analysts, and software engineers to develop and implement data-driven solutions that meet the evolving needs of our clients.

  • *Key Responsibilities:**
  • Design and develop data items and data warehouses around commitment and maintenance examination and information science
  • Plan and develop versatile information warehousing arrangements, building ETL pipelines in Large Information conditions (cloud, on-prem, crossover)
  • Help engineer data arrangements/structures and define data models for the basic information distribution center and information shops
  • Collaborate with Information Item Chiefs, Information Modelers and Information Architects to design, implement, and deliver successful data arrangements
  • Maintain detailed documentation of your work and changes to ensure data quality and data administration
  • Ensure high operational productivity and quality of your solutions to meet SLAs and support obligation to our clients (Information Science, Information Examination groups)
  • Be a proactive member and supporter of agile/scrum practice to ensure safety and cycle enhancements for your team
  • *Key Capabilities:**
  • Strong SQL skills and ability to write queries to extract data and build performant datasets
  • Experience with distributed systems like Hadoop (HDFS, Hive, Voila, PySpark) to query and process data
  • Strong programming skills in Python, Java/Scala
  • Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Large Query)
  • Strong involvement in data integration toolsets (i.e Wind current) and writing and maintaining Information Pipelines
  • Strong in Data Modeling strategies and Information Warehousing standard systems and practices
  • Experienced with Scrum and Agile approaches
  • You are a problem solver with strong attention to detail and excellent logical and relational skills
  • Ideal to have experience with Cloud advances like AWS (S3, EMR, EC2)
  • *What We Offer:**
  • Competitive salary and benefits package
  • Opportunity to work remotely in a collaborative and agile environment
  • Professional development and growth opportunities
  • Collaborative and dynamic team environment
  • Flexible work arrangements to support work-life balance
  • Access to cutting-edge technology and tools
  • Recognition and rewards for outstanding performance
  • *How to Apply:**

If you are a motivated and experienced Full Stack Data Engineer looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We encourage you to apply, even if you feel you're not a perfect match. We're looking for great people to join our friendly team.

  • *Apply Now:**

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