Senior Software Engineer | Transition into Data Engineering

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.

Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.

We’re looking for experienced software developers, especially those with strong backend or full-stack backgrounds, who are excited to transition into the data space and apply their engineering expertise to modern, data-driven solutions.

This is a unique opportunity for engineers who want to evolve their careers and bring their software development experience into modern data platforms and large-scale data initiatives.

As part of this opportunity, the role includes an initial structured training and ramp-up period focused on modern Data Engineering tools and practices, including technologies such as Databricks, Snowflake, and other key components of the data ecosystem. This onboarding is designed to help experienced engineers build domain-specific knowledge and transition successfully into data-focused projects while leveraging their existing technical foundation.

Responsibilities:

• Design, build, and support modern data pipelines and data platform solutions


• Work with structured and semi-structured data in scalable cloud-based environments


• Collaborate with engineers, analysts, architects, and business stakeholders


• Help ensure data is reliable, scalable, and ready for analytics and business consumption


• Apply software engineering best practices to data-focused solutions


• Contribute to projects that support reporting, analytics, and data-driven decision-making

Hard Skills:

• Strong experience in software development, ideally in backend or full-stack environments with Python or another backend-oriented programming language


• Good working knowledge of SQL


• Exposure to cloud platforms or modern data ecosystems


• Familiarity with APIs, integrations, or data-related workflows


• Exposure to concepts such as ETL/ELT, orchestration, or large-scale data processing

Nice to have:

• Exposure to tools such as Databricks, Snowflake, Spark, Airflow, or dbt


• Relevant certifications, courses, or personal projects related to data or cloud technologies

Soft Skills:

• Genuine interest in building a long-term career path in Data Engineering


• Curiosity and willingness to learn new technologies and concepts


• Strong sense of ownership and accountability


• Proactive mindset and problem-solving orientation


• Strong communication skills


• Ability to work effectively in collaborative, cross-functional teams


• Adaptability and openness to evolving into a new technical domain

At Allata, we value differences.

Allata is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Allata makes employment decisions without regard to race, color, creed, religion, age, ancestry, national origin, veteran status, sex, sexual orientation, gender, gender identity, gender expression, marital status, disability or any other legally protected category.

This policy applies to all terms and conditions of employment, including but not limited to, recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.