Senior Software Engineer | Transition Into Data Engineering, Los Angeles

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, andsupportmoderndata pipelines and dataplatformsolutions
Workwithstructuredandsemi-structureddata inscalablecloud-basedenvironments
Collaboratewithengineers,analysts,architects, andbusinessstakeholders
Helpensuredataisreliable,scalable, andreadyforanalyticsandbusinessconsumption
Applysoftwareengineeringbestpracticestodata-focusedsolutions
Contributetoprojectsthatsupportreporting,analytics, and data-drivendecision-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:
ExposuretotoolssuchasDatabricks,Snowflake,Spark,Airflow,ordbt
Relevantcertifications,courses,orpersonalprojectsrelatedtodataorcloudtechnologies
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.