Senior Data Engineer
24 hours ago
Mission Speechify is the easiest way to listen to the world’s information.
Articles on the web, documents in the cloud, books on your phone.
We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information.
And whatever we’re doing seems to be working.
We’re #1 in our category, and experiencing exponential growth.
Overview We are seeking a skilled and motivated Senior Data Engineer to join our Data Acquisition side of our AI team at Speechify.
This team is responsible for all aspects of data collection to support our model training operations.
In this role, you will design, build, and maintain robust data pipelines and systems to support the organization's data needs.
The ideal candidate has a strong understanding of data architecture, ETL processes, and a passion for leveraging data to drive decision-making and innovation.
What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and Linked In.
Not looking but know someone who would make a great fit? Refer them Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
An Ideal Candidate Should Have Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Proven experience as a Data Engineer or in a similar role and experience with ETL.
Proficiency in programming languages such as Python and experience in SQL Big data tools: Data- and Delta-lakes Cloud: Bare-Metal, Hybrid infrastructure Good to Have Experience working with media files (transformations) Torch dataset experience Mission Speechify is the easiest way to listen to the world’s information.
Articles on the web, documents in the cloud, books on your phone.
We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.
What streaming services have done for audio entertainment, we’re doing for audio information.
And whatever we’re doing seems to be working.
We’re #1 in our category, and experiencing exponential growth.
Overview We are seeking a skilled and motivated Senior Data Engineer to join our Data Acquisition side of our AI team at Speechify.
This team is responsible for all aspects of data collection to support our model training operations.
In this role, you will design, build, and maintain robust data pipelines and systems to support the organization's data needs.
The ideal candidate has a strong understanding of data architecture, ETL processes, and a passion for leveraging data to drive decision-making and innovation.
What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and Linked In.
Not looking but know someone who would make a great fit? Refer them Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
,[Design, develop, and maintain scalable data pipelines and workflows to ingest, transform, and store large datasets., Collaborate with data scientists, analysts, and software engineers to understand data needs and deliver effective solutions., Optimize and enhance existing data processes for performance, scalability, and cost-efficiency., Implement data quality checks, validation, and monitoring to ensure data accuracy and reliability., Develop and manage data warehouses, databases, and other storage solutions., Ensure compliance with data governance and security policies., Stay up-to-date with emerging technologies and best practices in data engineering and apply them as appropriate.] Requirements: Degree, ETL, Python, SQL, Big Data Additionally: Competitive compensation, Flat structure, Small teams, International projects, No dress code, In-house hack days, Startup atmosphere, In-house trainings, Not many meetings, Eastern-european working hours.
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