Data Engineer

Job Description

Job Description

About Us :

Tech9 is shaking up a 20-year-old industry, and we're not slowing down. Recognized by Inc. 5000 as one of the nation's fastest-growing companies, we are dedicated to building innovative, highly complex web applications.

Our team is passionate about delivering quality software that meets the highest standards. We offer a 100% remote working environment with a collaborative and supportive team, allowing you to focus on what you do best.

Our current need is for a Data Engineer to join our US team. This role will allow you to work directly with our client, where you will get hands-on experience working with new projects and teams.

Why Join Us? :

• Challenging Problems : You will tackle complex and exciting challenges.
• Flexibility : We offer a flexible and autonomous working environment.
• Collaboration : Work with skilled and friendly teammates who are committed to quality.
• Support : We fully support your efforts to test software the right way.
• Tools : We provide the necessary tools for you to excel at your job.
• Remote Work : Enjoy the benefits of a 100% remote work environment.

About this Project :

This initiative involves modernizing and migrating 10-15 years of accumulated meeting house data to Microsoft Azure, upgrading data technologies, and improving the consistency, security, and global availability of the data.

The successful candidate will be instrumental in moving away from legacy tools like SSRS and SQL Server on-prem to cloud-based solutions like Databricks and PowerBI.

This role will support ongoing reporting and automation efforts for the meeting house facilities department and potentially other organizational units.

Key Responsibilities :

• Lead the migration of data from legacy systems (SQL Server, SSRS, SSAS, SAP Data Services) to Azure-based infrastructure using Databricks, PowerBI, and related cloud tools.
• Design and implement dimensional modeling and data warehousing solutions using DBT (Data Build Tool), Python, and other technologies.
• Manage ETL pipelines, ensuring secure, reliable, and scalable data transfer using DBT, Databricks notebooks, and REST APIs.
• Support reporting and analytics efforts using PowerBI, developing semantic layers, SQL endpoints, and lakehouse structures in Microsoft PowerBI Fabric.
• Collaborate closely with outsourced vendors and internal team members, ensuring smooth project delivery and knowledge transfer.
• Lead efforts to modernize data workflows and implement CI / CD pipelines using Microsoft DevOps, Terraform, and Python automation.
• Enable data accessibility and insights for global data stewards and other departments by establishing robust reporting structures.
• Participate in Agile / sprint planning, ensuring alignment with two-week sprint cycles, making commitments, and delivering on them.
• Communicate effectively with contractors and internal teams, maintaining high standards of technical English.

Required Skills & Experience :

• Cloud Technologies : Strong experience with Microsoft Azure (Data Lake, Azure Synapse, etc.), Databricks, and Azure DevOps for CI / CD.
• Data Warehousing : Proven expertise in data warehousing methodologies, dimensional modeling, and ETL processes. Experience with DBT for managing ETL workloads.
• Programming & Automation : Proficiency in Python for data extraction and automation tasks, particularly in conjunction with REST APIs and CI / CD workflows.
• Reporting & Visualization : Advanced experience with PowerBI, including building semantic models, working with PowerBI Fabric, SQL endpoints, and migrating from on-prem SSRS to PowerBI Service.
• Collaboration & Communication : Excellent English communication skills and proven ability to work in Agile environments.

Experience working with outsourced vendors and internal stakeholders in a collaborative manner.

Senior-Level Experience : A seasoned professional with a track record of successfully delivering complex cloud migration projects, ideally without needing extensive onboarding or guidance.

Preferred Skills :

• ML Document Processing : Familiarity with machine learning document processing tools is a plus.
• Terraform : Hands-on experience using Terraform for infrastructure management in the cloud.

Interview Process Overview

Below you'll find an outline of the interview plan for this Data Engineer position. Please note that this is what we expect the process to look like;

we may ask you for supplemental information or require an additional step before making a final decision.

• 30-minute screening with a member of our Recruitment team
• 1-hour google meet / Zoom technical interview with one of our principal engineers
• 30-minute managerial google meet / Zoom behavioral interview with our Hiring Manager
• 1-hour technical interview with the client

LI-Remote

UnitedStates

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