WE ARE
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our team is passionate innovators working on over 2,000 cutting-edge projects worldwide from the USA and Europe to the Asia-Pacific region.
We are a Big Data & Analytics Center of Excellence, a data consulting and data engineering branch of SoftServe. We are cooperating with a titan in the energy sector, dedicated to innovating and investing in clean energy electrifying across 49 states in North America. Their storied history of corporate responsibility, operational excellence, and relentless innovation has not only earned them widespread recognition but also solidified their commitment to pioneering new technologies in the energy landscape.
SoftServe embarks on this thrilling journey with the client, therefore we are assembling an elite AI and Data Project Team of professionals to drive innovations in the energy and logistics domain. Our team plans to have more than 20 members in the first year, with some based on the East Coast of the USA and others in Warsaw and Wroclaw.
TOGETHER WE WILL
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
WE ARE
SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our team is passionate innovators working on over 2,000 cutting-edge projects worldwide from the USA and Europe to the Asia-Pacific region.
We are a Big Data & Analytics Center of Excellence, a data consulting and data engineering branch of SoftServe. We are cooperating with a titan in the energy sector, dedicated to innovating and investing in clean energy electrifying across 49 states in North America. Their storied history of corporate responsibility, operational excellence, and relentless innovation has not only earned them widespread recognition but also solidified their commitment to pioneering new technologies in the energy landscape.
SoftServe embarks on this thrilling journey with the client, therefore we are assembling an elite AI and Data Project Team of professionals to drive innovations in the energy and logistics domain. Our team plans to have more than 20 members in the first year, with some based on the East Coast of the USA and others in Warsaw and Wroclaw.
TOGETHER WE WILL
SoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let’s put your talents and experience in motion with SoftServe.
Visit the client’s office in Florida, USA, Collaborate with the team of data-focused engineers who specialize in ML, ML / Ops, Analytical AI, GenAI, large data engineering efforts, and AWS, Work on a project that involves potentially such languages and technologies as vector embeddings Python, AWS Glue, RedShift, DynamoDB, Neo4j, or Elastic, Design and implement data pipelines to support AI solutions, meaning moving data between different data storages (Redshift, Aurora, S3, Neo4J) and serving that data to AI models, Lead the data team, responsible for the development of data pipelines and creating solutions like data marts by Aurora and Redshift, use case by use case, eventually pushing that data to DynamoDB, Support customers from all over the world, from huge global corporations to crypto startups that are about to launch their first product, Participate in the entire project lifecycle, from initial design through PoCs and MVP up to the full-scale implementation, Lead data engineering or generic software development teams in the role of Architect or Team Leader, Design and implement Data & Analytics solutions in AWS, Be a customer-facing consultant responsible for eliciting customer requirements, translating them into technical architecture, and presenting your decisions and proposals to a customer] Requirements : Python, AWS Additionally : Sport subscription, Training budget, Private healthcare, International projects, Flat structure, Small teams, Free coffee, Canteen, Bike parking, Free snacks, Free parking, In-house trainings, Modern office, No dress code.
Data Engineer • Remote, Poland