Senior Data Engineer (2097)

Posted Yesterday
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Hiring Remotely in Brasil
Remote
Senior level
Digital Media • Consulting
The Role
Design and maintain relational and document-based data architectures, including MS SQL Server and MongoDB schemas, complex queries, stored procedures, indexing, and performance tuning. Build secure data pipelines and APIs, deploy schemas through automated CI/CD pipelines, resolve data quality issues, and support production software. Develop testing strategies and automation while collaborating in English across LATAM and Central Time teams.
Summary Generated by Built In

Location: Remote from LATAM

Contract Type: Full-time Contractor

Time Zone Alignment: CT

About In All Media

We are a Managed Nearshore Teams provider headquartered in Austin, specializing in building and embedding high-performing software development teams. From design to deployment, we deliver customized solutions by connecting global talent with innovative client projects. Our model lets you tackle international challenges, collaborate with diverse teams, and grow your career while being part of a company that values expertise, creativity, and impact.

Project Overview

In this role, you will be a key player in our data operations, supporting a high-impact project focused on building, optimizing, and maintaining robust data pipelines and database architectures. You will join a collaborative, fast-paced team dedicated to ensuring data quality, performance, and seamless integration across both relational and document-based systems. The project involves designing complex schemas, optimizing queries, and deploying automated pipelines to support advanced data science and engineering efforts. As a critical member of the team, you will drive production support, implement agile continuous delivery methodologies, and deliver highly reliable, scalable data solutions.

Key Responsibilities

  • Database & Schema Design: Design, model, and maintain complex data structures across relational (MS SQL Server) and document-based (MongoDB) systems, resolving data quality issues as needed.
  • Performance & Optimization: Write complex queries, develop stored procedures, and perform deep indexing and query performance tuning to ensure high-speed data retrieval and system reliability.
  • Pipeline & Deployment Management: Execute automated pipeline deployments and migrate schemas into production environments, applying agile methods and continuous delivery concepts.
  • API & Backend Support: Build and maintain secure, high-performing data pipelines and APIs, leveraging your experience with REST, JSON, and strict security and testing standards.
  • Quality Assurance & Strategy: Drive test strategies and test automation, maintaining a strong focus on data quality, problem-solving, and simplicity in software design.
  • Production Delivery: Ship, maintain, and troubleshoot production software products in a fast-moving environment where attention to detail and quality are highly prized.

Must-Have Skills

  • Education & Experience: BS in Computer Science and a minimum of 5+ years of experience delivering production solutions, including a minimum of 5+ years working in Data Science or Data Engineering.
  • Relational Databases Mastery: Strong production experience with MS SQL Server, including schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • NoSQL Expertise: Hands-on MongoDB experience, including document modeling and successfully integrating NoSQL systems with relational databases.
  • Data Modeling & Quality: Proven comfort and skill in modeling data across diverse systems, analyzing schemas, and actively resolving data quality issues.
  • Version Control & CI/CD: Experience maintaining projects using distributed version control systems (Git/GitHub) and hands-on experience with automated pipeline deployment.
  • API & Security Fundamentals: Deep passion and experience with database modeling, pipelines, and APIs (including security, testing, performance, JSON, and REST).
  • Mindset & Delivery: Passionate about shipping and maintaining production software products. You thrive in an environment where attention to detail, problem-solving, simplicity, quality, and moving quickly are highly prized.
  • Fluent English: Strong verbal and written communication skills for daily technical collaboration and documentation.

Nice-to-Have Skills

  • Cloud Data Platforms: Experience with the Azure data stack, specifically including Azure Data Factory and Microsoft Fabric.
  • Scripting & Automation: Working proficiency in Python for scripting, automation, and data pipeline support.
  • Advanced Testing Strategy: Strong experience and formed opinions around data quality frameworks, test strategy, and test automation.

Time Zone & Collaboration

This role is 100% remote from LATAM and requires consistent overlap with teams in Central Time (CT). Flexibility is expected to accommodate key ceremonies, stand-ups, and collaborative sessions within standard Austin business hours.

Language

All interviews, documentation, and daily communication are in English.

#LI

Skills Required

  • Bachelor's degree in Computer Science
  • At least 5 years of experience delivering production solutions
  • At least 5 years of experience in Data Science or Data Engineering
  • Production experience with MS SQL Server, including schema design, complex queries, stored procedures, indexing, and query performance tuning
  • Hands-on MongoDB experience, including document modeling and relational database integration
  • Experience modeling data across diverse systems and resolving data quality issues
  • Experience with Git or GitHub and automated pipeline deployment
  • Experience with database modeling, data pipelines, APIs, security, testing, performance, JSON, and REST
  • Strong verbal and written English communication skills
  • Experience with Azure Data Factory and Microsoft Fabric
  • Working proficiency in Python for scripting, automation, and data pipeline support
  • Experience with data quality frameworks, test strategy, and test automation
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The Company
HQ: London
208 Employees
Year Founded: 2013

What We Do

In All Media is a cutting-edge technology and innovation consulting organization, facilitating digital transformation in multiple industries. We have partnered with top-tier organizations such as NBCUniversal, Sony DADC, Aclara Technologies, and Dun & Bradstreet, among other leading companies worldwide. In All Media harnesses the collaborative synergy of all our international talent pool using Agile methodologies, to deliver excellence efficiently and with the utmost quality. At In All Media, we believe in diversity and autonomy. Our new model brings together a global managed community, with experts guiding and managing talented engineers; working to bring together the best talent in the world, regardless of where they are. We are not only evolving in terms of technology, but also in terms of In All Media as a re-imagined technology consultancy in step with the Fourth Industrial Revolution. Our community of 200+ experts and engineers are very motivated by different challenges in their field, and apply continuous learning to stay ahead of the curve in their expertise on new developments and innovative technologies. Our delivery model is based on Agile, On-site, and Near Shore capabilities to maximize team integration and provide the best value to our clients. We partner holistically with our clients in the co-creation of services and products, and follow streamlined Agile processes throughout. This makes In All Media a truly global company driven by a community of dedicated, talented individuals self-organizing into multi-disciplinary teams, producing the best possible output for our world-class clients. We're hiring! Email us your CV: [email protected] Contact Us: [email protected]

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