Logo for Tech9

Data Engineer

Key Facts

Remote From: 
Category:  Data Engineer
Freelance
Senior (5-10 years)
English

Other Skills

  • Problem Solving
  • Communication
  • Collaboration
  • Time Management

Roles & Responsibilities

  • Bachelor's degree in Computer Science or related field.
  • 3+ years of Python and Databricks Notebook experience.
  • 2+ years of Azure Databricks experience.
  • 5+ years of relational database (RDBMS) experience.

Requirements:

  • Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Python.
  • Build, test, and support integrations between Databricks, Oracle, and downstream systems.
  • Develop and maintain high-quality data extracts for internal and external stakeholders.
  • Monitor data pipelines for performance, reliability, and quality; identify and resolve issues.

Job description

About Tech9

At Tech9, we are driven by a clear mission—to empower organizations with AI-centered solutions that make them more adaptable, efficient, and future-ready. With proven expertise in product strategy, UX design, cloud architecture, and AI, our teams deliver purpose-built software that meets today’s needs and anticipates tomorrow’s challenges.

Headquartered in Utah, Tech9 experts collaborate across the United States, Latin America, and India. We offer a remote working environment with a collaborative and supportive culture, allowing you to focus on what you do best.

If you're excited by the opportunity to work in a fast-paced, innovative environment where scaling and building the future of software is key, we’d love to hear from you. Join us as we work together to redefine the world of software developm


Senior Data Engineer

Location: Remote (U.S.)
Employment Type: Contract

About the Opportunity

We are seeking an experienced Senior Data Engineer to help design, build, and optimize scalable data platforms and pipelines. This role will partner closely with engineering, analytics, and business stakeholders to deliver reliable data solutions that support reporting, integrations, and operational needs.

Responsibilities

·       Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Python.

·       Build, test, and support integrations between Databricks, Oracle, and downstream systems.

·       Develop and maintain high-quality data extracts for internal and external stakeholders.

·       Own and document inbound and outbound data feeds.

·       Monitor data pipelines for performance, reliability, and quality; identify and resolve issues.

·       Design and optimize data models supporting operational, analytical, and financial reporting.

·       Contribute to continuous improvement of the data platform using industry best practices.

·       Partner with technical and business stakeholders to gather requirements and deliver solutions.

·       Support internal applications and ensure business continuity.

·       Collaborate effectively across engineering and cross-functional teams.

Qualifications

·       Bachelor's degree in Computer Science or related field.

·       3+ years of Python and Databricks Notebook experience.

·       2+ years of Azure Databricks experience.

·       5+ years of relational database (RDBMS) experience.

·       Experience building scalable ETL/ELT pipelines.

·       Strong problem-solving, communication, and collaboration skills.

·       Ability to manage multiple priorities and work independently.

Preferred Experience

·       Experience with Azure data services.

·       Experience with Oracle integrations.

·       Experience working in regulated or enterprise environments.

Data Engineer Related jobs

Other jobs at Tech9

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.